7T coil comparison: processing of human data#
7T coil comparison: processing of human data#
Setup environment#
# Necessary imports
from datetime import datetime, timedelta
import os
import json
import glob
import matplotlib.pyplot as plt
import numpy as np
import nibabel as nib
import pandas as pd
from scipy.stats import iqr
import shutil
import zipfile
from scipy.interpolate import interp1d
from scipy.ndimage import uniform_filter1d
from pathlib import Path
%matplotlib inline
start_time = datetime.now()
# Download data from OpenNeuro ⏳
!openneuro-py download --dataset ds005025 --target-dir data-human/
👋 Hello! This is openneuro-py 2024.2.0. Great to see you! 🤗
👉 Please report problems 🤯 and bugs 🪲 at
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✅ Finished downloading ds005025.
🧠 Please enjoy your brains.
# Define useful variables
path_data = os.path.join(os.getcwd(), "data-human/")
print(f"path_data: {path_data}")
path_labels = os.path.join(path_data, "derivatives", "labels")
path_qc = os.path.join(path_data, "qc")
subjects = [os.path.basename(subject_path) for subject_path in sorted(glob.glob(os.path.join(path_data, "sub-*")))]
print(f"subjects: {subjects}")
# Create output folder
path_results = os.path.join(path_data, "derivatives", "results")
os.makedirs(path_results, exist_ok=True)
path_data: /home/runner/work/coil-qc-code/coil-qc-code/data-human/
subjects: ['sub-CRMBM1', 'sub-CRMBM2', 'sub-CRMBM3', 'sub-MGH1', 'sub-MGH2', 'sub-MGH3', 'sub-MNI1', 'sub-MNI2', 'sub-MNI3', 'sub-MPI1', 'sub-MPI2', 'sub-MPI3', 'sub-MSSM1', 'sub-MSSM2', 'sub-MSSM3', 'sub-NTNU1', 'sub-NTNU2', 'sub-NTNU3', 'sub-UCL1', 'sub-UCL2', 'sub-UCL3']
MP2RAGE segmentation and vertebral labeling#
# Run segmentation on MP2RAGE scan ⏳
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "anat"))
fname_manual_seg = os.path.join(path_labels, subject, "anat", f"{subject}_UNIT1_label-SC_seg.nii.gz")
if os.path.exists(fname_manual_seg):
# Manual segmentation already exists. Copy it to local folder
print(f"{subject}: Manual segmentation found\n")
shutil.copyfile(fname_manual_seg, f"{subject}_UNIT1_seg.nii.gz")
# Generate QC report to make sure the manual segmentation is correct
!sct_qc -i {subject}_UNIT1.nii.gz -s {subject}_UNIT1_seg.nii.gz -p sct_deepseg_sc -qc {path_qc} -qc-subject {subject}
else:
# Manual segmentation does not exist. Run automatic segmentation.
print(f"{subject}: Manual segmentation not found")
!sct_deepseg -i "{subject}_UNIT1.nii.gz" -task seg_sc_contrast_agnostic -thr 0 -qc {path_qc}
sub-CRMBM1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-CRMBM1_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model model_seg_sc_contrast_agnostic_softseg_monai is not installed. Installing it now...
INSTALLING MODEL: model_seg_sc_contrast_agnostic_softseg_monai
Trying URL: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip
Downloading: model_contrast-agnostic_20240930-1002.zip
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Creating temporary folder (/tmp/sct_2024-11-05_20-09-15_install-data_3yxuemzk)
Unzip data to: /tmp/sct_2024-11-05_20-09-15_install-data_3yxuemzk
Copying data to: /home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/data/deepseg_models/model_seg_sc_contrast_agnostic_softseg_monai
Removing temporary folders...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-09-23_sct_deepseg_ky078vnc)
Copied sub-CRMBM1_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-09-23_sct_deepseg_ky078vnc/sub-CRMBM1_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-09-23_sct_deepseg_ky078vnc/sub-CRMBM1_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_200939.502141.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-CRMBM2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-CRMBM2_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-09-51_sct_deepseg_r0xdeeee)
Copied sub-CRMBM2_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-09-51_sct_deepseg_r0xdeeee/sub-CRMBM2_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-09-51_sct_deepseg_r0xdeeee/sub-CRMBM2_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201007.399659.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-CRMBM3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-CRMBM3_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-10-19_sct_deepseg_48bzu09o)
Copied sub-CRMBM3_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-10-19_sct_deepseg_48bzu09o/sub-CRMBM3_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-10-19_sct_deepseg_48bzu09o/sub-CRMBM3_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201035.327796.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MGH1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MGH1_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-10-46_sct_deepseg_jm0lkkka)
Copied sub-MGH1_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-10-46_sct_deepseg_jm0lkkka/sub-MGH1_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 11 seconds
Saving results to: /tmp/sct_2024-11-05_20-10-46_sct_deepseg_jm0lkkka/sub-MGH1_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201059.472083.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MGH2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MGH2_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-11-11_sct_deepseg_03z2cqsm)
Copied sub-MGH2_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-11-11_sct_deepseg_03z2cqsm/sub-MGH2_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 11 seconds
Saving results to: /tmp/sct_2024-11-05_20-11-11_sct_deepseg_03z2cqsm/sub-MGH2_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201124.241888.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MGH3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MGH3_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-11-36_sct_deepseg_l0ue20_2)
Copied sub-MGH3_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-11-36_sct_deepseg_l0ue20_2/sub-MGH3_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 12 seconds
Saving results to: /tmp/sct_2024-11-05_20-11-36_sct_deepseg_l0ue20_2/sub-MGH3_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201149.213316.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MNI1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MNI1_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-12-01_sct_deepseg_r4at5fef)
Copied sub-MNI1_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-12-01_sct_deepseg_r4at5fef/sub-MNI1_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-12-01_sct_deepseg_r4at5fef/sub-MNI1_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201218.041967.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MNI2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MNI2_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-12-29_sct_deepseg_kplmihas)
Copied sub-MNI2_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-12-29_sct_deepseg_kplmihas/sub-MNI2_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-12-29_sct_deepseg_kplmihas/sub-MNI2_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201246.027691.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MNI3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MNI3_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-12-57_sct_deepseg_1k5qaari)
Copied sub-MNI3_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-12-57_sct_deepseg_1k5qaari/sub-MNI3_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-12-57_sct_deepseg_1k5qaari/sub-MNI3_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201314.030338.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MPI1: Manual segmentation found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MPI1_UNIT1.nii.gz -s sub-MPI1_UNIT1_seg.nii.gz -p sct_deepseg_sc -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MPI1
--
Resampling image "sub-MPI1_UNIT1.nii.gz" to 0.6x0.6 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Resampling image "sub-MPI1_UNIT1_seg.nii.gz" to 0.6x0.6 mm
Converting image from type 'uint8' to type 'float64' for linear interpolation
Image header specifies datatype 'float64', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Compute center of mass at each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MPI2: Manual segmentation found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MPI2_UNIT1.nii.gz -s sub-MPI2_UNIT1_seg.nii.gz -p sct_deepseg_sc -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MPI2
--
Resampling image "sub-MPI2_UNIT1.nii.gz" to 0.6x0.6 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Resampling image "sub-MPI2_UNIT1_seg.nii.gz" to 0.6x0.6 mm
Converting image from type 'uint8' to type 'float64' for linear interpolation
Image header specifies datatype 'float64', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Compute center of mass at each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MPI3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MPI3_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-13-40_sct_deepseg_8_yw0j5q)
Copied sub-MPI3_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-13-40_sct_deepseg_8_yw0j5q/sub-MPI3_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-13-40_sct_deepseg_8_yw0j5q/sub-MPI3_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201356.325233.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MSSM1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MSSM1_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-14-07_sct_deepseg_51fypxq8)
Copied sub-MSSM1_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-14-07_sct_deepseg_51fypxq8/sub-MSSM1_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-14-07_sct_deepseg_51fypxq8/sub-MSSM1_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201424.227997.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MSSM2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MSSM2_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-14-35_sct_deepseg_vr3m3a48)
Copied sub-MSSM2_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-14-35_sct_deepseg_vr3m3a48/sub-MSSM2_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-14-35_sct_deepseg_vr3m3a48/sub-MSSM2_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201452.224044.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MSSM3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MSSM3_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-15-03_sct_deepseg_behh__9v)
Copied sub-MSSM3_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-15-03_sct_deepseg_behh__9v/sub-MSSM3_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-15-03_sct_deepseg_behh__9v/sub-MSSM3_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201520.124666.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-NTNU1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-NTNU1_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-15-31_sct_deepseg_ybsqvv3c)
Copied sub-NTNU1_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-15-31_sct_deepseg_ybsqvv3c/sub-NTNU1_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-15-31_sct_deepseg_ybsqvv3c/sub-NTNU1_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201548.137731.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-NTNU2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-NTNU2_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-15-59_sct_deepseg_xx2fwoy1)
Copied sub-NTNU2_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-15-59_sct_deepseg_xx2fwoy1/sub-NTNU2_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-15-59_sct_deepseg_xx2fwoy1/sub-NTNU2_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201616.187044.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-NTNU3: Manual segmentation found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-NTNU3_UNIT1.nii.gz -s sub-NTNU3_UNIT1_seg.nii.gz -p sct_deepseg_sc -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-NTNU3
--
Resampling image "sub-NTNU3_UNIT1.nii.gz" to 0.6x0.6 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Resampling image "sub-NTNU3_UNIT1_seg.nii.gz" to 0.6x0.6 mm
Converting image from type 'uint8' to type 'float64' for linear interpolation
Image header specifies datatype 'float64', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Compute center of mass at each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-UCL1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-UCL1_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-16-35_sct_deepseg_p8lm4xor)
Copied sub-UCL1_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-16-35_sct_deepseg_p8lm4xor/sub-UCL1_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-16-35_sct_deepseg_p8lm4xor/sub-UCL1_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201651.464469.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-UCL2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-UCL2_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-17-03_sct_deepseg_a7ntebel)
Copied sub-UCL2_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-17-03_sct_deepseg_a7ntebel/sub-UCL2_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-17-03_sct_deepseg_a7ntebel/sub-UCL2_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201719.464156.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-UCL3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-UCL3_UNIT1.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-17-31_sct_deepseg_qg44qksa)
Copied sub-UCL3_UNIT1.nii.gz to /tmp/sct_2024-11-05_20-17-31_sct_deepseg_qg44qksa/sub-UCL3_UNIT1.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 14 seconds
Saving results to: /tmp/sct_2024-11-05_20-17-31_sct_deepseg_qg44qksa/sub-UCL3_UNIT1_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_201747.458526.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
# Label vertebrae
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "anat"))
fname_manual_labels = os.path.join(path_labels, subject, "anat", f"{subject}_UNIT1_label-disc.nii.gz")
if os.path.exists(fname_manual_labels):
# Use manual disc labels to generate labeled segmentation.
print(f"{subject}: Manual labels found\n")
!sct_label_utils -i {subject}_UNIT1_seg.nii.gz -disc {fname_manual_labels} -o {subject}_UNIT1_seg_labeled.nii.gz
# Generate QC report to assess labeled segmentation
!sct_qc -i {subject}_UNIT1.nii.gz -s {subject}_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc {path_qc} -qc-subject {subject}
else:
# Manual labels do not exist. They should!
print(f"{subject}: Manual labels not found.")
sub-CRMBM1: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-CRMBM1_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-CRMBM1/anat/sub-CRMBM1_UNIT1_label-disc.nii.gz -o sub-CRMBM1_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-CRMBM1_UNIT1.nii.gz -s sub-CRMBM1_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-CRMBM1
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-CRMBM2: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-CRMBM2_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-CRMBM2/anat/sub-CRMBM2_UNIT1_label-disc.nii.gz -o sub-CRMBM2_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-CRMBM2_UNIT1.nii.gz -s sub-CRMBM2_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-CRMBM2
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-CRMBM3: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-CRMBM3_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-CRMBM3/anat/sub-CRMBM3_UNIT1_label-disc.nii.gz -o sub-CRMBM3_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-CRMBM3_UNIT1.nii.gz -s sub-CRMBM3_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-CRMBM3
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MGH1: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MGH1_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MGH1/anat/sub-MGH1_UNIT1_label-disc.nii.gz -o sub-MGH1_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MGH1_UNIT1.nii.gz -s sub-MGH1_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MGH1
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MGH2: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MGH2_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MGH2/anat/sub-MGH2_UNIT1_label-disc.nii.gz -o sub-MGH2_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MGH2_UNIT1.nii.gz -s sub-MGH2_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MGH2
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MGH3: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MGH3_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MGH3/anat/sub-MGH3_UNIT1_label-disc.nii.gz -o sub-MGH3_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MGH3_UNIT1.nii.gz -s sub-MGH3_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MGH3
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MNI1: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MNI1_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MNI1/anat/sub-MNI1_UNIT1_label-disc.nii.gz -o sub-MNI1_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MNI1_UNIT1.nii.gz -s sub-MNI1_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MNI1
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MNI2: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MNI2_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MNI2/anat/sub-MNI2_UNIT1_label-disc.nii.gz -o sub-MNI2_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MNI2_UNIT1.nii.gz -s sub-MNI2_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MNI2
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MNI3: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MNI3_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MNI3/anat/sub-MNI3_UNIT1_label-disc.nii.gz -o sub-MNI3_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MNI3_UNIT1.nii.gz -s sub-MNI3_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MNI3
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MPI1: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MPI1_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MPI1/anat/sub-MPI1_UNIT1_label-disc.nii.gz -o sub-MPI1_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MPI1_UNIT1.nii.gz -s sub-MPI1_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MPI1
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MPI2: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MPI2_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MPI2/anat/sub-MPI2_UNIT1_label-disc.nii.gz -o sub-MPI2_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MPI2_UNIT1.nii.gz -s sub-MPI2_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MPI2
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MPI3: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MPI3_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MPI3/anat/sub-MPI3_UNIT1_label-disc.nii.gz -o sub-MPI3_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MPI3_UNIT1.nii.gz -s sub-MPI3_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MPI3
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MSSM1: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MSSM1_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MSSM1/anat/sub-MSSM1_UNIT1_label-disc.nii.gz -o sub-MSSM1_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MSSM1_UNIT1.nii.gz -s sub-MSSM1_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MSSM1
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MSSM2: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MSSM2_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MSSM2/anat/sub-MSSM2_UNIT1_label-disc.nii.gz -o sub-MSSM2_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MSSM2_UNIT1.nii.gz -s sub-MSSM2_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MSSM2
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-MSSM3: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MSSM3_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-MSSM3/anat/sub-MSSM3_UNIT1_label-disc.nii.gz -o sub-MSSM3_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-MSSM3_UNIT1.nii.gz -s sub-MSSM3_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-MSSM3
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-NTNU1: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-NTNU1_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-NTNU1/anat/sub-NTNU1_UNIT1_label-disc.nii.gz -o sub-NTNU1_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-NTNU1_UNIT1.nii.gz -s sub-NTNU1_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-NTNU1
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-NTNU2: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-NTNU2_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-NTNU2/anat/sub-NTNU2_UNIT1_label-disc.nii.gz -o sub-NTNU2_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-NTNU2_UNIT1.nii.gz -s sub-NTNU2_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-NTNU2
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-NTNU3: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-NTNU3_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-NTNU3/anat/sub-NTNU3_UNIT1_label-disc.nii.gz -o sub-NTNU3_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-NTNU3_UNIT1.nii.gz -s sub-NTNU3_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-NTNU3
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-UCL1: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-UCL1_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-UCL1/anat/sub-UCL1_UNIT1_label-disc.nii.gz -o sub-UCL1_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-UCL1_UNIT1.nii.gz -s sub-UCL1_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-UCL1
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-UCL2: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-UCL2_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-UCL2/anat/sub-UCL2_UNIT1_label-disc.nii.gz -o sub-UCL2_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-UCL2_UNIT1.nii.gz -s sub-UCL2_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-UCL2
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-UCL3: Manual labels found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-UCL3_UNIT1_seg.nii.gz -disc /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/labels/sub-UCL3/anat/sub-UCL3_UNIT1_label-disc.nii.gz -o sub-UCL3_UNIT1_seg_labeled.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-UCL3_UNIT1.nii.gz -s sub-UCL3_UNIT1_seg_labeled.nii.gz -p sct_label_vertebrae -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-UCL3
--
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
# Crop MP2RAGE for faster processing and better registration results
dilation_kernel="20x20x0"
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "anat"))
!sct_crop_image -i {subject}_inv-1_part-mag_MP2RAGE.nii.gz -m {subject}_UNIT1_seg.nii.gz -dilate {dilation_kernel} -o {subject}_inv-1_part-mag_MP2RAGE_crop.nii.gz
!sct_crop_image -i {subject}_UNIT1.nii.gz -m {subject}_UNIT1_seg.nii.gz -dilate {dilation_kernel} -o {subject}_UNIT1_crop.nii.gz
!sct_crop_image -i {subject}_UNIT1_seg.nii.gz -m {subject}_UNIT1_seg.nii.gz -dilate {dilation_kernel} -o {subject}_UNIT1_seg_crop.nii.gz
!sct_crop_image -i {subject}_UNIT1_seg_labeled.nii.gz -m {subject}_UNIT1_seg.nii.gz -dilate {dilation_kernel} -o {subject}_UNIT1_seg_labeled_crop.nii.gz
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM1_inv-1_part-mag_MP2RAGE.nii.gz -m sub-CRMBM1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[92, 157], y=[24, 124], z=[54, 368]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM1_UNIT1.nii.gz -m sub-CRMBM1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM1_UNIT1_crop.nii.gz
--
Bounding box: x=[92, 157], y=[24, 124], z=[54, 368]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM1_UNIT1_seg.nii.gz -m sub-CRMBM1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM1_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[92, 157], y=[24, 124], z=[54, 368]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM1_UNIT1_seg_labeled.nii.gz -m sub-CRMBM1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM1_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[92, 157], y=[24, 124], z=[54, 368]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM2_inv-1_part-mag_MP2RAGE.nii.gz -m sub-CRMBM2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[88, 153], y=[33, 123], z=[63, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM2_UNIT1.nii.gz -m sub-CRMBM2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM2_UNIT1_crop.nii.gz
--
Bounding box: x=[88, 153], y=[33, 123], z=[63, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM2_UNIT1_seg.nii.gz -m sub-CRMBM2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM2_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[88, 153], y=[33, 123], z=[63, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM2_UNIT1_seg_labeled.nii.gz -m sub-CRMBM2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM2_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[88, 153], y=[33, 123], z=[63, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM3_inv-1_part-mag_MP2RAGE.nii.gz -m sub-CRMBM3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[84, 153], y=[14, 135], z=[0, 337]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM3_UNIT1.nii.gz -m sub-CRMBM3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM3_UNIT1_crop.nii.gz
--
Bounding box: x=[84, 153], y=[14, 135], z=[0, 337]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM3_UNIT1_seg.nii.gz -m sub-CRMBM3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM3_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[84, 153], y=[14, 135], z=[0, 337]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM3_UNIT1_seg_labeled.nii.gz -m sub-CRMBM3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-CRMBM3_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[84, 153], y=[14, 135], z=[0, 337]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH1_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MGH1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH1_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[63, 125], y=[42, 160], z=[30, 256]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH1_UNIT1.nii.gz -m sub-MGH1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH1_UNIT1_crop.nii.gz
--
Bounding box: x=[63, 125], y=[42, 160], z=[30, 256]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH1_UNIT1_seg.nii.gz -m sub-MGH1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH1_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[63, 125], y=[42, 160], z=[30, 256]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH1_UNIT1_seg_labeled.nii.gz -m sub-MGH1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH1_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[63, 125], y=[42, 160], z=[30, 256]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH2_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MGH2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH2_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[65, 124], y=[34, 151], z=[20, 243]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH2_UNIT1.nii.gz -m sub-MGH2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH2_UNIT1_crop.nii.gz
--
Bounding box: x=[65, 124], y=[34, 151], z=[20, 243]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH2_UNIT1_seg.nii.gz -m sub-MGH2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH2_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[65, 124], y=[34, 151], z=[20, 243]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH2_UNIT1_seg_labeled.nii.gz -m sub-MGH2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH2_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[65, 124], y=[34, 151], z=[20, 243]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH3_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MGH3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH3_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[61, 124], y=[38, 165], z=[18, 256]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH3_UNIT1.nii.gz -m sub-MGH3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH3_UNIT1_crop.nii.gz
--
Bounding box: x=[61, 124], y=[38, 165], z=[18, 256]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH3_UNIT1_seg.nii.gz -m sub-MGH3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH3_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[61, 124], y=[38, 165], z=[18, 256]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH3_UNIT1_seg_labeled.nii.gz -m sub-MGH3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MGH3_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[61, 124], y=[38, 165], z=[18, 256]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI1_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MNI1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[90, 155], y=[49, 126], z=[0, 367]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI1_UNIT1.nii.gz -m sub-MNI1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI1_UNIT1_crop.nii.gz
--
Bounding box: x=[90, 155], y=[49, 126], z=[0, 367]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI1_UNIT1_seg.nii.gz -m sub-MNI1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI1_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[90, 155], y=[49, 126], z=[0, 367]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI1_UNIT1_seg_labeled.nii.gz -m sub-MNI1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI1_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[90, 155], y=[49, 126], z=[0, 367]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI2_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MNI2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[91, 154], y=[39, 114], z=[0, 361]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI2_UNIT1.nii.gz -m sub-MNI2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI2_UNIT1_crop.nii.gz
--
Bounding box: x=[91, 154], y=[39, 114], z=[0, 361]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI2_UNIT1_seg.nii.gz -m sub-MNI2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI2_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[91, 154], y=[39, 114], z=[0, 361]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI2_UNIT1_seg_labeled.nii.gz -m sub-MNI2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI2_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[91, 154], y=[39, 114], z=[0, 361]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI3_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MNI3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[81, 150], y=[60, 162], z=[19, 279]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI3_UNIT1.nii.gz -m sub-MNI3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI3_UNIT1_crop.nii.gz
--
Bounding box: x=[81, 150], y=[60, 162], z=[19, 279]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI3_UNIT1_seg.nii.gz -m sub-MNI3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI3_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[81, 150], y=[60, 162], z=[19, 279]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI3_UNIT1_seg_labeled.nii.gz -m sub-MNI3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MNI3_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[81, 150], y=[60, 162], z=[19, 279]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI1_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MPI1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[96, 164], y=[29, 118], z=[9, 275]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI1_UNIT1.nii.gz -m sub-MPI1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI1_UNIT1_crop.nii.gz
--
Bounding box: x=[96, 164], y=[29, 118], z=[9, 275]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI1_UNIT1_seg.nii.gz -m sub-MPI1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI1_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[96, 164], y=[29, 118], z=[9, 275]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI1_UNIT1_seg_labeled.nii.gz -m sub-MPI1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI1_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[96, 164], y=[29, 118], z=[9, 275]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI2_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MPI2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[87, 148], y=[31, 120], z=[0, 276]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI2_UNIT1.nii.gz -m sub-MPI2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI2_UNIT1_crop.nii.gz
--
Bounding box: x=[87, 148], y=[31, 120], z=[0, 276]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI2_UNIT1_seg.nii.gz -m sub-MPI2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI2_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[87, 148], y=[31, 120], z=[0, 276]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI2_UNIT1_seg_labeled.nii.gz -m sub-MPI2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI2_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[87, 148], y=[31, 120], z=[0, 276]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI3_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MPI3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[93, 161], y=[14, 131], z=[7, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI3_UNIT1.nii.gz -m sub-MPI3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI3_UNIT1_crop.nii.gz
--
Bounding box: x=[93, 161], y=[14, 131], z=[7, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI3_UNIT1_seg.nii.gz -m sub-MPI3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI3_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[93, 161], y=[14, 131], z=[7, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI3_UNIT1_seg_labeled.nii.gz -m sub-MPI3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MPI3_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[93, 161], y=[14, 131], z=[7, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM1_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MSSM1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[81, 149], y=[50, 122], z=[16, 254]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM1_UNIT1.nii.gz -m sub-MSSM1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM1_UNIT1_crop.nii.gz
--
Bounding box: x=[81, 149], y=[50, 122], z=[16, 254]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM1_UNIT1_seg.nii.gz -m sub-MSSM1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM1_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[81, 149], y=[50, 122], z=[16, 254]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM1_UNIT1_seg_labeled.nii.gz -m sub-MSSM1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM1_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[81, 149], y=[50, 122], z=[16, 254]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM2_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MSSM2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[88, 150], y=[50, 124], z=[40, 268]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM2_UNIT1.nii.gz -m sub-MSSM2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM2_UNIT1_crop.nii.gz
--
Bounding box: x=[88, 150], y=[50, 124], z=[40, 268]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM2_UNIT1_seg.nii.gz -m sub-MSSM2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM2_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[88, 150], y=[50, 124], z=[40, 268]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM2_UNIT1_seg_labeled.nii.gz -m sub-MSSM2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM2_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[88, 150], y=[50, 124], z=[40, 268]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM3_inv-1_part-mag_MP2RAGE.nii.gz -m sub-MSSM3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[87, 152], y=[32, 136], z=[0, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM3_UNIT1.nii.gz -m sub-MSSM3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM3_UNIT1_crop.nii.gz
--
Bounding box: x=[87, 152], y=[32, 136], z=[0, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM3_UNIT1_seg.nii.gz -m sub-MSSM3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM3_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[87, 152], y=[32, 136], z=[0, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM3_UNIT1_seg_labeled.nii.gz -m sub-MSSM3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-MSSM3_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[87, 152], y=[32, 136], z=[0, 289]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU1_inv-1_part-mag_MP2RAGE.nii.gz -m sub-NTNU1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU1_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[90, 155], y=[61, 126], z=[20, 316]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU1_UNIT1.nii.gz -m sub-NTNU1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU1_UNIT1_crop.nii.gz
--
Bounding box: x=[90, 155], y=[61, 126], z=[20, 316]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU1_UNIT1_seg.nii.gz -m sub-NTNU1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU1_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[90, 155], y=[61, 126], z=[20, 316]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU1_UNIT1_seg_labeled.nii.gz -m sub-NTNU1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU1_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[90, 155], y=[61, 126], z=[20, 316]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU2_inv-1_part-mag_MP2RAGE.nii.gz -m sub-NTNU2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU2_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[82, 151], y=[49, 120], z=[60, 294]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU2_UNIT1.nii.gz -m sub-NTNU2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU2_UNIT1_crop.nii.gz
--
Bounding box: x=[82, 151], y=[49, 120], z=[60, 294]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU2_UNIT1_seg.nii.gz -m sub-NTNU2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU2_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[82, 151], y=[49, 120], z=[60, 294]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU2_UNIT1_seg_labeled.nii.gz -m sub-NTNU2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU2_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[82, 151], y=[49, 120], z=[60, 294]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU3_inv-1_part-mag_MP2RAGE.nii.gz -m sub-NTNU3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU3_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[94, 154], y=[23, 126], z=[8, 330]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU3_UNIT1.nii.gz -m sub-NTNU3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU3_UNIT1_crop.nii.gz
--
Bounding box: x=[94, 154], y=[23, 126], z=[8, 330]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU3_UNIT1_seg.nii.gz -m sub-NTNU3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU3_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[94, 154], y=[23, 126], z=[8, 330]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU3_UNIT1_seg_labeled.nii.gz -m sub-NTNU3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-NTNU3_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[94, 154], y=[23, 126], z=[8, 330]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL1_inv-1_part-mag_MP2RAGE.nii.gz -m sub-UCL1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL1_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[103, 170], y=[18, 123], z=[35, 368]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL1_UNIT1.nii.gz -m sub-UCL1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL1_UNIT1_crop.nii.gz
--
Bounding box: x=[103, 170], y=[18, 123], z=[35, 368]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL1_UNIT1_seg.nii.gz -m sub-UCL1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL1_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[103, 170], y=[18, 123], z=[35, 368]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL1_UNIT1_seg_labeled.nii.gz -m sub-UCL1_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL1_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[103, 170], y=[18, 123], z=[35, 368]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL2_inv-1_part-mag_MP2RAGE.nii.gz -m sub-UCL2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL2_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[77, 152], y=[25, 135], z=[72, 359]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL2_UNIT1.nii.gz -m sub-UCL2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL2_UNIT1_crop.nii.gz
--
Bounding box: x=[77, 152], y=[25, 135], z=[72, 359]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL2_UNIT1_seg.nii.gz -m sub-UCL2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL2_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[77, 152], y=[25, 135], z=[72, 359]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL2_UNIT1_seg_labeled.nii.gz -m sub-UCL2_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL2_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[77, 152], y=[25, 135], z=[72, 359]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL3_inv-1_part-mag_MP2RAGE.nii.gz -m sub-UCL3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL3_inv-1_part-mag_MP2RAGE_crop.nii.gz
--
Bounding box: x=[91, 160], y=[12, 127], z=[62, 362]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL3_UNIT1.nii.gz -m sub-UCL3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL3_UNIT1_crop.nii.gz
--
Bounding box: x=[91, 160], y=[12, 127], z=[62, 362]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL3_UNIT1_seg.nii.gz -m sub-UCL3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL3_UNIT1_seg_crop.nii.gz
--
Bounding box: x=[91, 160], y=[12, 127], z=[62, 362]
Cropping the image...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL3_UNIT1_seg_labeled.nii.gz -m sub-UCL3_UNIT1_seg.nii.gz -dilate 20x20x0 -o sub-UCL3_UNIT1_seg_labeled_crop.nii.gz
--
Bounding box: x=[91, 160], y=[12, 127], z=[62, 362]
Cropping the image...
Register MP2RAGE to B1+ and SNR data#
Segment spinal cord on TFL#
# Segment spinal cord on TFL data (B1+ mapping) ⏳
# Only do this for subjects without MSSM in their name (https://github.com/spinal-cord-7t/coil-qc-code/issues/153)
subjects_without_MSSM = [subject for subject in subjects if "MSSM" not in subject]
for subject in subjects_without_MSSM:
os.chdir(os.path.join(path_data, subject, "fmap"))
fname_manual_seg = os.path.join(path_labels, subject, "fmap", f"{subject}_acq-anat_TB1TFL_label-SC_seg.nii.gz")
if os.path.exists(fname_manual_seg):
# Manual segmentation already exists. Copy it to local folder
print(f"{subject}: Manual segmentation found\n")
shutil.copyfile(fname_manual_seg, f"{subject}_acq-anat_TB1TFL_seg.nii.gz")
# Generate QC report to make sure the manual segmentation is correct
if subject in ['sub-MSSM1', 'sub-MSSM2', 'sub-MSSM3']:
!sct_qc -i "{subject}_acq-famp_TB1TFL.nii.gz" -s "{subject}_acq-anat_TB1TFL_seg.nii.gz" -p sct_deepseg_sc -qc {path_qc} -qc-subject {subject}
else:
!sct_qc -i "{subject}_acq-anat_TB1TFL.nii.gz" -s "{subject}_acq-anat_TB1TFL_seg.nii.gz" -p sct_deepseg_sc -qc {path_qc} -qc-subject {subject}
else:
# Manual segmentation does not exist. Run automatic segmentation.
print(f"{subject}: Manual segmentation not found")
!sct_deepseg -i "{subject}_acq-anat_TB1TFL.nii.gz" -task seg_sc_contrast_agnostic -thr 0 -qc {path_qc}
sub-CRMBM1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-CRMBM1_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-20-36_sct_deepseg_1d2k1i3i)
Copied sub-CRMBM1_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-20-36_sct_deepseg_1d2k1i3i/sub-CRMBM1_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 25 seconds
Saving results to: /tmp/sct_2024-11-05_20-20-36_sct_deepseg_1d2k1i3i/sub-CRMBM1_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202103.912689.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-CRMBM2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-CRMBM2_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-21-12_sct_deepseg_ay0vycr6)
Copied sub-CRMBM2_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-21-12_sct_deepseg_ay0vycr6/sub-CRMBM2_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_20-21-12_sct_deepseg_ay0vycr6/sub-CRMBM2_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202138.328528.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-CRMBM3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-CRMBM3_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-21-46_sct_deepseg_ckka5syx)
Copied sub-CRMBM3_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-21-46_sct_deepseg_ckka5syx/sub-CRMBM3_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_20-21-46_sct_deepseg_ckka5syx/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202212.358500.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MGH1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MGH1_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-22-20_sct_deepseg_4vt904e3)
Copied sub-MGH1_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-22-20_sct_deepseg_4vt904e3/sub-MGH1_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_20-22-20_sct_deepseg_4vt904e3/sub-MGH1_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202246.302311.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MGH2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MGH2_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-22-54_sct_deepseg_f_k9r9oa)
Copied sub-MGH2_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-22-54_sct_deepseg_f_k9r9oa/sub-MGH2_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_20-22-54_sct_deepseg_f_k9r9oa/sub-MGH2_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202320.106567.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MGH3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MGH3_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-23-28_sct_deepseg_01csq0kj)
Copied sub-MGH3_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-23-28_sct_deepseg_01csq0kj/sub-MGH3_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_20-23-28_sct_deepseg_01csq0kj/sub-MGH3_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202353.858525.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MNI1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MNI1_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-24-02_sct_deepseg_j_nwyhk6)
Copied sub-MNI1_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-24-02_sct_deepseg_j_nwyhk6/sub-MNI1_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_20-24-02_sct_deepseg_j_nwyhk6/sub-MNI1_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202427.835398.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MNI2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MNI2_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-24-36_sct_deepseg_9_aoz0o1)
Copied sub-MNI2_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-24-36_sct_deepseg_9_aoz0o1/sub-MNI2_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_20-24-36_sct_deepseg_9_aoz0o1/sub-MNI2_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202502.160098.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MNI3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MNI3_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-25-10_sct_deepseg_oxpp2j7t)
Copied sub-MNI3_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-25-10_sct_deepseg_oxpp2j7t/sub-MNI3_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_20-25-10_sct_deepseg_oxpp2j7t/sub-MNI3_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202536.011750.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MPI1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MPI1_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-25-44_sct_deepseg_7zhwc7qf)
Copied sub-MPI1_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-25-44_sct_deepseg_7zhwc7qf/sub-MPI1_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_20-25-44_sct_deepseg_7zhwc7qf/sub-MPI1_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202609.403136.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MPI2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MPI2_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-26-17_sct_deepseg_p04on53q)
Copied sub-MPI2_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-26-17_sct_deepseg_p04on53q/sub-MPI2_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_20-26-17_sct_deepseg_p04on53q/sub-MPI2_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202642.865780.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-MPI3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MPI3_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-26-51_sct_deepseg_fae5t39s)
Copied sub-MPI3_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-26-51_sct_deepseg_fae5t39s/sub-MPI3_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_20-26-51_sct_deepseg_fae5t39s/sub-MPI3_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202716.198725.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-NTNU1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-NTNU1_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-27-24_sct_deepseg_49efzkv5)
Copied sub-NTNU1_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-27-24_sct_deepseg_49efzkv5/sub-NTNU1_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_20-27-24_sct_deepseg_49efzkv5/sub-NTNU1_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202749.489474.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-NTNU2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-NTNU2_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-27-57_sct_deepseg_lrrsgnxt)
Copied sub-NTNU2_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-27-57_sct_deepseg_lrrsgnxt/sub-NTNU2_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_20-27-57_sct_deepseg_lrrsgnxt/sub-NTNU2_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202822.823417.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-NTNU3: Manual segmentation found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_qc -i sub-NTNU3_acq-anat_TB1TFL.nii.gz -s sub-NTNU3_acq-anat_TB1TFL_seg.nii.gz -p sct_deepseg_sc -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc -qc-subject sub-NTNU3
--
Resampling image "sub-NTNU3_acq-anat_TB1TFL.nii.gz" to 0.6x0.6 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Resampling image "sub-NTNU3_acq-anat_TB1TFL_seg.nii.gz" to 0.6x0.6 mm
Converting image from type 'uint8' to type 'float64' for linear interpolation
Image header specifies datatype 'float64', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Compute center of mass at each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
*** Generating Quality Control (QC) html report ***
Traceback (most recent call last):
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 125, in <module>
main(sys.argv[1:])
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/scripts/sct_qc.py", line 108, in main
generate_qc(fname_in1=arguments.i,
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 632, in generate_qc
qc_image._make_QC_image_for_3d_volumes(img, mask, plane, imgs_to_generate)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/reports/qc.py", line 228, in _make_QC_image_for_3d_volumes
fig = mpl_plt.figure()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 1027, in figure
manager = new_figure_manager(
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 549, in new_figure_manager
_warn_if_gui_out_of_main_thread()
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 526, in _warn_if_gui_out_of_main_thread
canvas_class = cast(type[FigureCanvasBase], _get_backend_mod().FigureCanvas)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 358, in _get_backend_mod
switch_backend(rcParams._get("backend"))
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/pyplot.py", line 415, in switch_backend
module = backend_registry.load_backend_module(newbackend)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib/backends/registry.py", line 323, in load_backend_module
return importlib.import_module(module_name)
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/importlib/__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 972, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "<frozen importlib._bootstrap>", line 1030, in _gcd_import
File "<frozen importlib._bootstrap>", line 1007, in _find_and_load
File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 680, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 850, in exec_module
File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/__init__.py", line 1, in <module>
from . import backend_inline, config # noqa
File "/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/matplotlib_inline/backend_inline.py", line 13, in <module>
from IPython.core.interactiveshell import InteractiveShell
ModuleNotFoundError: No module named 'IPython'
sub-UCL1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-UCL1_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-28-34_sct_deepseg_dp6sihdf)
Copied sub-UCL1_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-28-34_sct_deepseg_dp6sihdf/sub-UCL1_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_20-28-34_sct_deepseg_dp6sihdf/sub-UCL1_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202859.309640.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-UCL2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-UCL2_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-29-07_sct_deepseg_zfk2y0i0)
Copied sub-UCL2_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-29-07_sct_deepseg_zfk2y0i0/sub-UCL2_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_20-29-07_sct_deepseg_zfk2y0i0/sub-UCL2_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_202932.598328.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
sub-UCL3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-UCL3_acq-anat_TB1TFL.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_20-29-40_sct_deepseg_6chwpo34)
Copied sub-UCL3_acq-anat_TB1TFL.nii.gz to /tmp/sct_2024-11-05_20-29-40_sct_deepseg_6chwpo34/sub-UCL3_acq-anat_TB1TFL.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_20-29-40_sct_deepseg_6chwpo34/sub-UCL3_acq-anat_TB1TFL_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203005.937257.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
Register TFL to MP2RAGE#
# Register TFL data (B1+ mapping) to the MP2RAGE scan ⏳
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "fmap"))
if subject in ['sub-MSSM1', 'sub-MSSM2', 'sub-MSSM3']:
# https://github.com/spinal-cord-7t/coil-qc-code/issues/43
# https://github.com/spinal-cord-7t/coil-qc-code/issues/153
!sct_register_multimodal -i {subject}_acq-famp_TB1TFL.nii.gz -d ../anat/{subject}_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/{subject}_UNIT1_seg_crop.nii.gz -identity 1 -qc "{path_qc}"
else:
!sct_register_multimodal -i {subject}_acq-anat_TB1TFL.nii.gz -iseg {subject}_acq-anat_TB1TFL_seg.nii.gz -d ../anat/{subject}_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/{subject}_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc "{path_qc}"
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-CRMBM1_acq-anat_TB1TFL.nii.gz -iseg sub-CRMBM1_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-CRMBM1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-CRMBM1_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 100, 314)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-30-10_register-wrapper_ofq1quxw)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-30-10_register-wrapper_ofq1quxw
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-30-12_register-slicewise_vurkdazi)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 65 x 100 x 314
voxel size: 0.7065217mm x 0.6999998mm x 314mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/314 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/314 [00:00<01:08, 4.60iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1446: RuntimeWarning: invalid value encountered in divide
coordsrc /= coordsrc.std()
Slice #8 is empty. It will be ignored.
Estimate cord angle for each slice: 39%|████████▌ | 122/314 [00:00<00:00, 482.33iter/s]
Estimate cord angle for each slice: 79%|█████████████████▎ | 247/314 [00:00<00:00, 758.22iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #311 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #312 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #313 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 314/314 [00:00<00:00, 664.66iter/s]
Build 3D deformation field: 0%| | 0/302 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▎ | 13/302 [00:00<00:02, 128.25iter/s]
Build 3D deformation field: 9%|██▊ | 27/302 [00:00<00:02, 134.68iter/s]
Build 3D deformation field: 14%|████▏ | 41/302 [00:00<00:01, 135.29iter/s]
Build 3D deformation field: 18%|█████▋ | 55/302 [00:00<00:01, 136.38iter/s]
Build 3D deformation field: 23%|███████ | 69/302 [00:00<00:01, 137.03iter/s]
Build 3D deformation field: 28%|████████▌ | 84/302 [00:00<00:01, 138.45iter/s]
Build 3D deformation field: 32%|██████████ | 98/302 [00:00<00:01, 138.08iter/s]
Build 3D deformation field: 37%|███████████▏ | 112/302 [00:00<00:01, 138.59iter/s]
Build 3D deformation field: 42%|████████████▌ | 126/302 [00:00<00:01, 138.12iter/s]
Build 3D deformation field: 46%|█████████████▉ | 140/302 [00:01<00:01, 137.75iter/s]
Build 3D deformation field: 51%|███████████████▎ | 154/302 [00:01<00:01, 137.84iter/s]
Build 3D deformation field: 56%|████████████████▋ | 168/302 [00:01<00:00, 137.18iter/s]
Build 3D deformation field: 60%|██████████████████ | 182/302 [00:01<00:00, 136.36iter/s]
Build 3D deformation field: 65%|███████████████████▍ | 196/302 [00:01<00:00, 137.16iter/s]
Build 3D deformation field: 70%|████████████████████▊ | 210/302 [00:01<00:00, 136.41iter/s]
Build 3D deformation field: 74%|██████████████████████▎ | 224/302 [00:01<00:00, 136.19iter/s]
Build 3D deformation field: 79%|███████████████████████▋ | 238/302 [00:01<00:00, 135.91iter/s]
Build 3D deformation field: 83%|█████████████████████████ | 252/302 [00:01<00:00, 135.58iter/s]
Build 3D deformation field: 88%|██████████████████████████▍ | 266/302 [00:01<00:00, 135.90iter/s]
Build 3D deformation field: 93%|███████████████████████████▊ | 280/302 [00:02<00:00, 135.97iter/s]
Build 3D deformation field: 98%|█████████████████████████████▎| 295/302 [00:02<00:00, 137.69iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 302/302 [00:02<00:00, 136.90iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-30-10_register-wrapper_ofq1quxw
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-30-10_register-wrapper_ofq1quxw
rm -rf /tmp/sct_2024-11-05_20-30-12_register-slicewise_vurkdazi
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-30-10_register-wrapper_ofq1quxw
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-30-10_register-wrapper_ofq1quxw
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-CRMBM1_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-10_register-wrapper_ofq1quxw/warp_src2dest.nii.gz warp_sub-CRMBM1_acq-anat_TB1TFL2sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-CRMBM1_acq-anat_TB1TFL2sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-10_register-wrapper_ofq1quxw/warp_dest2src.nii.gz warp_sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM1_acq-anat_TB1TFL.nii.gz
File created: warp_sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM1_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-30-10_register-wrapper_ofq1quxw
Finished! Elapsed time: 9s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203019.438172.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-CRMBM2_acq-anat_TB1TFL.nii.gz -iseg sub-CRMBM2_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-CRMBM2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-CRMBM2_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 90, 226)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-30-22_register-wrapper_owx32gym)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-30-22_register-wrapper_owx32gym
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-30-23_register-slicewise_rtq2akx1)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 65 x 90 x 226
voxel size: 0.7065217mm x 0.6999998mm x 226mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/226 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/226 [00:00<00:48, 4.68iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
Estimate cord angle for each slice: 56%|████████████▎ | 127/226 [00:00<00:00, 506.38iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #224 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #225 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 226/226 [00:00<00:00, 575.94iter/s]
Build 3D deformation field: 0%| | 0/220 [00:00<?, ?iter/s]
Build 3D deformation field: 7%|██▎ | 16/220 [00:00<00:01, 152.93iter/s]
Build 3D deformation field: 15%|████▌ | 32/220 [00:00<00:01, 152.10iter/s]
Build 3D deformation field: 22%|██████▊ | 48/220 [00:00<00:01, 151.06iter/s]
Build 3D deformation field: 29%|█████████ | 64/220 [00:00<00:01, 151.91iter/s]
Build 3D deformation field: 36%|███████████▎ | 80/220 [00:00<00:00, 151.97iter/s]
Build 3D deformation field: 44%|█████████████▌ | 96/220 [00:00<00:00, 150.93iter/s]
Build 3D deformation field: 51%|███████████████▎ | 112/220 [00:00<00:00, 149.60iter/s]
Build 3D deformation field: 58%|█████████████████▎ | 127/220 [00:00<00:00, 149.05iter/s]
Build 3D deformation field: 65%|███████████████████▎ | 142/220 [00:00<00:00, 148.83iter/s]
Build 3D deformation field: 71%|█████████████████████▍ | 157/220 [00:01<00:00, 148.63iter/s]
Build 3D deformation field: 78%|███████████████████████▍ | 172/220 [00:01<00:00, 148.51iter/s]
Build 3D deformation field: 85%|█████████████████████████▌ | 187/220 [00:01<00:00, 148.19iter/s]
Build 3D deformation field: 92%|███████████████████████████▌ | 202/220 [00:01<00:00, 148.35iter/s]
Build 3D deformation field: 99%|█████████████████████████████▋| 218/220 [00:01<00:00, 149.36iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 220/220 [00:01<00:00, 149.70iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-30-22_register-wrapper_owx32gym
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-30-22_register-wrapper_owx32gym
rm -rf /tmp/sct_2024-11-05_20-30-23_register-slicewise_rtq2akx1
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-30-22_register-wrapper_owx32gym
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-30-22_register-wrapper_owx32gym
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-CRMBM2_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-22_register-wrapper_owx32gym/warp_src2dest.nii.gz warp_sub-CRMBM2_acq-anat_TB1TFL2sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-CRMBM2_acq-anat_TB1TFL2sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-22_register-wrapper_owx32gym/warp_dest2src.nii.gz warp_sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM2_acq-anat_TB1TFL.nii.gz
File created: warp_sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM2_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-30-22_register-wrapper_owx32gym
Finished! Elapsed time: 6s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203028.674247.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-CRMBM3_acq-anat_TB1TFL.nii.gz -iseg sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-CRMBM3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-CRMBM3_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop.nii.gz (69, 121, 337)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-30-31_register-wrapper_ig4760rx)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-30-31_register-wrapper_ig4760rx
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-30-34_register-slicewise_njuc3m21)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 69 x 121 x 337
voxel size: 0.7065217mm x 0.6999998mm x 337mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/337 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/337 [00:00<01:14, 4.51iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #24 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #25 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #26 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #27 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #28 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #29 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #30 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #31 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #32 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #33 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #34 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #35 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #36 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #37 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #38 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #39 is empty. It will be ignored.
Estimate cord angle for each slice: 34%|███████▌ | 116/337 [00:00<00:00, 453.59iter/s]
Estimate cord angle for each slice: 71%|███████████████▌ | 238/337 [00:00<00:00, 728.40iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #324 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #325 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #326 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #327 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #328 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #329 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #330 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #331 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #332 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #333 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #334 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #335 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #336 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 337/337 [00:00<00:00, 675.22iter/s]
Build 3D deformation field: 0%| | 0/284 [00:00<?, ?iter/s]
Build 3D deformation field: 3%|█ | 9/284 [00:00<00:03, 85.26iter/s]
Build 3D deformation field: 7%|██▏ | 19/284 [00:00<00:02, 88.81iter/s]
Build 3D deformation field: 10%|███▎ | 29/284 [00:00<00:02, 90.80iter/s]
Build 3D deformation field: 14%|████▍ | 39/284 [00:00<00:02, 90.77iter/s]
Build 3D deformation field: 17%|█████▌ | 49/284 [00:00<00:02, 90.56iter/s]
Build 3D deformation field: 21%|██████▋ | 59/284 [00:00<00:02, 90.60iter/s]
Build 3D deformation field: 24%|███████▊ | 69/284 [00:00<00:02, 90.82iter/s]
Build 3D deformation field: 28%|████████▉ | 79/284 [00:00<00:02, 91.76iter/s]
Build 3D deformation field: 31%|██████████ | 89/284 [00:00<00:02, 91.66iter/s]
Build 3D deformation field: 35%|███████████▏ | 99/284 [00:01<00:02, 91.66iter/s]
Build 3D deformation field: 38%|███████████▉ | 109/284 [00:01<00:01, 91.60iter/s]
Build 3D deformation field: 42%|████████████▉ | 119/284 [00:01<00:01, 91.85iter/s]
Build 3D deformation field: 45%|██████████████ | 129/284 [00:01<00:01, 91.88iter/s]
Build 3D deformation field: 49%|███████████████▏ | 139/284 [00:01<00:01, 91.82iter/s]
Build 3D deformation field: 52%|████████████████▎ | 149/284 [00:01<00:01, 91.77iter/s]
Build 3D deformation field: 56%|█████████████████▎ | 159/284 [00:01<00:01, 92.19iter/s]
Build 3D deformation field: 60%|██████████████████▍ | 169/284 [00:01<00:01, 92.31iter/s]
Build 3D deformation field: 63%|███████████████████▌ | 179/284 [00:01<00:01, 92.32iter/s]
Build 3D deformation field: 67%|████████████████████▋ | 189/284 [00:02<00:01, 92.06iter/s]
Build 3D deformation field: 70%|█████████████████████▋ | 199/284 [00:02<00:00, 91.97iter/s]
Build 3D deformation field: 74%|██████████████████████▊ | 209/284 [00:02<00:00, 90.91iter/s]
Build 3D deformation field: 77%|███████████████████████▉ | 219/284 [00:02<00:00, 91.21iter/s]
Build 3D deformation field: 81%|████████████████████████▉ | 229/284 [00:02<00:00, 91.66iter/s]
Build 3D deformation field: 84%|██████████████████████████ | 239/284 [00:02<00:00, 92.11iter/s]
Build 3D deformation field: 88%|███████████████████████████▏ | 249/284 [00:02<00:00, 92.09iter/s]
Build 3D deformation field: 91%|████████████████████████████▎ | 259/284 [00:02<00:00, 92.02iter/s]
Build 3D deformation field: 95%|█████████████████████████████▍ | 270/284 [00:02<00:00, 95.53iter/s]
Build 3D deformation field: 99%|██████████████████████████████▋| 281/284 [00:03<00:00, 98.09iter/s]
Build 3D deformation field: 100%|███████████████████████████████| 284/284 [00:03<00:00, 92.52iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-30-31_register-wrapper_ig4760rx
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-30-31_register-wrapper_ig4760rx
rm -rf /tmp/sct_2024-11-05_20-30-34_register-slicewise_njuc3m21
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-30-31_register-wrapper_ig4760rx
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-30-31_register-wrapper_ig4760rx
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-CRMBM3_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-31_register-wrapper_ig4760rx/warp_src2dest.nii.gz warp_sub-CRMBM3_acq-anat_TB1TFL2sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-CRMBM3_acq-anat_TB1TFL2sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-31_register-wrapper_ig4760rx/warp_dest2src.nii.gz warp_sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM3_acq-anat_TB1TFL.nii.gz
File created: warp_sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM3_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-30-31_register-wrapper_ig4760rx
Finished! Elapsed time: 12s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203043.080332.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH1_acq-anat_TB1TFL.nii.gz -iseg sub-MGH1_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-MGH1_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MGH1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MGH1_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-MGH1_inv-1_part-mag_MP2RAGE_crop.nii.gz (62, 118, 226)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-30-46_register-wrapper_a5z9s5b5)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-30-46_register-wrapper_a5z9s5b5
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-30-48_register-slicewise_mjndfdr5)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 62 x 118 x 226
voxel size: 1.0mm x 1.0mm x 226mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/226 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/226 [00:00<00:48, 4.67iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #24 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #25 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #26 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #27 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #28 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #29 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #30 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #31 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #32 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #33 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #34 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #35 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #36 is empty. It will be ignored.
Estimate cord angle for each slice: 54%|███████████▉ | 123/226 [00:00<00:00, 489.88iter/s]
Estimate cord angle for each slice: 100%|██████████████████████| 226/226 [00:00<00:00, 568.72iter/s]
Build 3D deformation field: 0%| | 0/189 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▉ | 12/189 [00:00<00:01, 115.25iter/s]
Build 3D deformation field: 13%|███▉ | 24/189 [00:00<00:01, 115.28iter/s]
Build 3D deformation field: 20%|██████ | 37/189 [00:00<00:01, 118.40iter/s]
Build 3D deformation field: 26%|████████▏ | 50/189 [00:00<00:01, 119.55iter/s]
Build 3D deformation field: 33%|██████████▎ | 63/189 [00:00<00:01, 120.27iter/s]
Build 3D deformation field: 40%|████████████▍ | 76/189 [00:00<00:00, 120.52iter/s]
Build 3D deformation field: 47%|██████████████▌ | 89/189 [00:00<00:00, 120.37iter/s]
Build 3D deformation field: 54%|████████████████▏ | 102/189 [00:00<00:00, 120.30iter/s]
Build 3D deformation field: 61%|██████████████████▎ | 115/189 [00:00<00:00, 120.50iter/s]
Build 3D deformation field: 68%|████████████████████▎ | 128/189 [00:01<00:00, 120.41iter/s]
Build 3D deformation field: 75%|██████████████████████▍ | 141/189 [00:01<00:00, 120.42iter/s]
Build 3D deformation field: 81%|████████████████████████▍ | 154/189 [00:01<00:00, 120.53iter/s]
Build 3D deformation field: 88%|██████████████████████████▌ | 167/189 [00:01<00:00, 120.58iter/s]
Build 3D deformation field: 95%|████████████████████████████▌ | 180/189 [00:01<00:00, 120.78iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 189/189 [00:01<00:00, 120.11iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-30-46_register-wrapper_a5z9s5b5
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-30-46_register-wrapper_a5z9s5b5
rm -rf /tmp/sct_2024-11-05_20-30-48_register-slicewise_mjndfdr5
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-30-46_register-wrapper_a5z9s5b5
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-30-46_register-wrapper_a5z9s5b5
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH1_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-46_register-wrapper_a5z9s5b5/warp_src2dest.nii.gz warp_sub-MGH1_acq-anat_TB1TFL2sub-MGH1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MGH1_acq-anat_TB1TFL2sub-MGH1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MGH1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-46_register-wrapper_a5z9s5b5/warp_dest2src.nii.gz warp_sub-MGH1_inv-1_part-mag_MP2RAGE_crop2sub-MGH1_acq-anat_TB1TFL.nii.gz
File created: warp_sub-MGH1_inv-1_part-mag_MP2RAGE_crop2sub-MGH1_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-30-46_register-wrapper_a5z9s5b5
Finished! Elapsed time: 7s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203053.327496.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH2_acq-anat_TB1TFL.nii.gz -iseg sub-MGH2_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-MGH2_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MGH2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MGH2_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-MGH2_inv-1_part-mag_MP2RAGE_crop.nii.gz (59, 117, 223)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-30-56_register-wrapper_1tojir3i)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-30-56_register-wrapper_1tojir3i
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-30-58_register-slicewise_app0w7vk)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 59 x 117 x 223
voxel size: 1.0mm x 1.0mm x 223mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/223 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/223 [00:00<00:48, 4.61iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
Estimate cord angle for each slice: 55%|████████████▏ | 123/223 [00:00<00:00, 486.87iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #221 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #222 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 223/223 [00:00<00:00, 559.30iter/s]
Build 3D deformation field: 0%| | 0/218 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▊ | 13/218 [00:00<00:01, 120.72iter/s]
Build 3D deformation field: 12%|███▋ | 26/218 [00:00<00:01, 125.07iter/s]
Build 3D deformation field: 18%|█████▌ | 39/218 [00:00<00:01, 126.79iter/s]
Build 3D deformation field: 24%|███████▍ | 52/218 [00:00<00:01, 126.90iter/s]
Build 3D deformation field: 30%|█████████▏ | 65/218 [00:00<00:01, 126.91iter/s]
Build 3D deformation field: 36%|███████████ | 78/218 [00:00<00:01, 127.07iter/s]
Build 3D deformation field: 42%|████████████▉ | 91/218 [00:00<00:00, 127.21iter/s]
Build 3D deformation field: 48%|██████████████▎ | 104/218 [00:00<00:00, 127.14iter/s]
Build 3D deformation field: 54%|████████████████ | 117/218 [00:00<00:00, 127.64iter/s]
Build 3D deformation field: 60%|█████████████████▉ | 130/218 [00:01<00:00, 127.52iter/s]
Build 3D deformation field: 66%|███████████████████▋ | 143/218 [00:01<00:00, 127.83iter/s]
Build 3D deformation field: 72%|█████████████████████▍ | 156/218 [00:01<00:00, 127.32iter/s]
Build 3D deformation field: 78%|███████████████████████▎ | 169/218 [00:01<00:00, 127.62iter/s]
Build 3D deformation field: 83%|█████████████████████████ | 182/218 [00:01<00:00, 127.44iter/s]
Build 3D deformation field: 89%|██████████████████████████▊ | 195/218 [00:01<00:00, 127.09iter/s]
Build 3D deformation field: 95%|████████████████████████████▌ | 208/218 [00:01<00:00, 127.43iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 218/218 [00:01<00:00, 127.14iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-30-56_register-wrapper_1tojir3i
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-30-56_register-wrapper_1tojir3i
rm -rf /tmp/sct_2024-11-05_20-30-58_register-slicewise_app0w7vk
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-30-56_register-wrapper_1tojir3i
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-30-56_register-wrapper_1tojir3i
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH2_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-56_register-wrapper_1tojir3i/warp_src2dest.nii.gz warp_sub-MGH2_acq-anat_TB1TFL2sub-MGH2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MGH2_acq-anat_TB1TFL2sub-MGH2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MGH2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-30-56_register-wrapper_1tojir3i/warp_dest2src.nii.gz warp_sub-MGH2_inv-1_part-mag_MP2RAGE_crop2sub-MGH2_acq-anat_TB1TFL.nii.gz
File created: warp_sub-MGH2_inv-1_part-mag_MP2RAGE_crop2sub-MGH2_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-30-56_register-wrapper_1tojir3i
Finished! Elapsed time: 7s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203103.481562.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH3_acq-anat_TB1TFL.nii.gz -iseg sub-MGH3_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-MGH3_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MGH3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MGH3_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-MGH3_inv-1_part-mag_MP2RAGE_crop.nii.gz (63, 127, 238)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-31-06_register-wrapper_dds1w95d)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-31-06_register-wrapper_dds1w95d
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-31-08_register-slicewise_bcwjlwjo)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 63 x 127 x 238
voxel size: 1.0mm x 1.0mm x 238mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/238 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/238 [00:00<00:50, 4.66iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
Estimate cord angle for each slice: 50%|███████████ | 119/238 [00:00<00:00, 473.22iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #237 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 238/238 [00:00<00:00, 576.03iter/s]
Build 3D deformation field: 0%| | 0/216 [00:00<?, ?iter/s]
Build 3D deformation field: 5%|█▌ | 11/216 [00:00<00:01, 105.25iter/s]
Build 3D deformation field: 10%|███▏ | 22/216 [00:00<00:01, 107.60iter/s]
Build 3D deformation field: 15%|████▋ | 33/216 [00:00<00:01, 108.51iter/s]
Build 3D deformation field: 20%|██████▎ | 44/216 [00:00<00:01, 108.72iter/s]
Build 3D deformation field: 25%|███████▉ | 55/216 [00:00<00:01, 108.90iter/s]
Build 3D deformation field: 31%|█████████▍ | 66/216 [00:00<00:01, 109.19iter/s]
Build 3D deformation field: 36%|███████████▏ | 78/216 [00:00<00:01, 109.71iter/s]
Build 3D deformation field: 42%|████████████▉ | 90/216 [00:00<00:01, 109.87iter/s]
Build 3D deformation field: 47%|██████████████▏ | 102/216 [00:00<00:01, 110.56iter/s]
Build 3D deformation field: 53%|███████████████▊ | 114/216 [00:01<00:00, 110.20iter/s]
Build 3D deformation field: 58%|█████████████████▌ | 126/216 [00:01<00:00, 110.72iter/s]
Build 3D deformation field: 64%|███████████████████▏ | 138/216 [00:01<00:00, 111.28iter/s]
Build 3D deformation field: 69%|████████████████████▊ | 150/216 [00:01<00:00, 111.40iter/s]
Build 3D deformation field: 75%|██████████████████████▌ | 162/216 [00:01<00:00, 111.29iter/s]
Build 3D deformation field: 81%|████████████████████████▏ | 174/216 [00:01<00:00, 111.35iter/s]
Build 3D deformation field: 86%|█████████████████████████▊ | 186/216 [00:01<00:00, 111.24iter/s]
Build 3D deformation field: 92%|███████████████████████████▌ | 198/216 [00:01<00:00, 110.98iter/s]
Build 3D deformation field: 97%|█████████████████████████████▏| 210/216 [00:01<00:00, 110.52iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 216/216 [00:01<00:00, 110.21iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-31-06_register-wrapper_dds1w95d
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-31-06_register-wrapper_dds1w95d
rm -rf /tmp/sct_2024-11-05_20-31-08_register-slicewise_bcwjlwjo
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-31-06_register-wrapper_dds1w95d
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-31-06_register-wrapper_dds1w95d
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH3_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-06_register-wrapper_dds1w95d/warp_src2dest.nii.gz warp_sub-MGH3_acq-anat_TB1TFL2sub-MGH3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MGH3_acq-anat_TB1TFL2sub-MGH3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MGH3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-06_register-wrapper_dds1w95d/warp_dest2src.nii.gz warp_sub-MGH3_inv-1_part-mag_MP2RAGE_crop2sub-MGH3_acq-anat_TB1TFL.nii.gz
File created: warp_sub-MGH3_inv-1_part-mag_MP2RAGE_crop2sub-MGH3_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-31-06_register-wrapper_dds1w95d
Finished! Elapsed time: 8s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203114.705371.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI1_acq-anat_TB1TFL.nii.gz -iseg sub-MNI1_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-MNI1_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MNI1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MNI1_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-MNI1_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 77, 367)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-31-18_register-wrapper_zqs6bfus)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-31-18_register-wrapper_zqs6bfus
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-31-20_register-slicewise_rf9fecl9)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 65 x 77 x 367
voxel size: 0.7065217mm x 0.7000043mm x 367mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/367 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/367 [00:00<01:17, 4.71iter/s]
Estimate cord angle for each slice: 35%|███████▌ | 127/367 [00:00<00:00, 507.82iter/s]
Estimate cord angle for each slice: 69%|███████████████ | 252/367 [00:00<00:00, 777.82iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #364 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #365 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #366 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 367/367 [00:00<00:00, 727.96iter/s]
Build 3D deformation field: 0%| | 0/363 [00:00<?, ?iter/s]
Build 3D deformation field: 5%|█▍ | 17/363 [00:00<00:02, 163.78iter/s]
Build 3D deformation field: 10%|██▉ | 35/363 [00:00<00:01, 172.57iter/s]
Build 3D deformation field: 15%|████▌ | 53/363 [00:00<00:01, 174.31iter/s]
Build 3D deformation field: 20%|██████ | 71/363 [00:00<00:01, 175.57iter/s]
Build 3D deformation field: 25%|███████▌ | 89/363 [00:00<00:01, 175.47iter/s]
Build 3D deformation field: 29%|████████▊ | 107/363 [00:00<00:01, 176.18iter/s]
Build 3D deformation field: 34%|██████████▎ | 125/363 [00:00<00:01, 176.15iter/s]
Build 3D deformation field: 39%|███████████▊ | 143/363 [00:00<00:01, 176.25iter/s]
Build 3D deformation field: 44%|█████████████▎ | 161/363 [00:00<00:01, 176.17iter/s]
Build 3D deformation field: 49%|██████████████▊ | 179/363 [00:01<00:01, 176.31iter/s]
Build 3D deformation field: 54%|████████████████▎ | 197/363 [00:01<00:00, 176.38iter/s]
Build 3D deformation field: 59%|█████████████████▊ | 215/363 [00:01<00:00, 176.03iter/s]
Build 3D deformation field: 64%|███████████████████▎ | 234/363 [00:01<00:00, 177.69iter/s]
Build 3D deformation field: 69%|████████████████████▊ | 252/363 [00:01<00:00, 177.62iter/s]
Build 3D deformation field: 74%|██████████████████████▎ | 270/363 [00:01<00:00, 177.28iter/s]
Build 3D deformation field: 79%|███████████████████████▊ | 288/363 [00:01<00:00, 176.78iter/s]
Build 3D deformation field: 84%|█████████████████████████▎ | 306/363 [00:01<00:00, 176.39iter/s]
Build 3D deformation field: 89%|██████████████████████████▊ | 324/363 [00:01<00:00, 175.95iter/s]
Build 3D deformation field: 94%|████████████████████████████▎ | 342/363 [00:01<00:00, 175.29iter/s]
Build 3D deformation field: 99%|█████████████████████████████▊| 360/363 [00:02<00:00, 174.91iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 363/363 [00:02<00:00, 175.75iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-31-18_register-wrapper_zqs6bfus
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-31-18_register-wrapper_zqs6bfus
rm -rf /tmp/sct_2024-11-05_20-31-20_register-slicewise_rf9fecl9
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-31-18_register-wrapper_zqs6bfus
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-31-18_register-wrapper_zqs6bfus
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI1_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-18_register-wrapper_zqs6bfus/warp_src2dest.nii.gz warp_sub-MNI1_acq-anat_TB1TFL2sub-MNI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MNI1_acq-anat_TB1TFL2sub-MNI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MNI1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-18_register-wrapper_zqs6bfus/warp_dest2src.nii.gz warp_sub-MNI1_inv-1_part-mag_MP2RAGE_crop2sub-MNI1_acq-anat_TB1TFL.nii.gz
File created: warp_sub-MNI1_inv-1_part-mag_MP2RAGE_crop2sub-MNI1_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-31-18_register-wrapper_zqs6bfus
Finished! Elapsed time: 9s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203127.308819.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI2_acq-anat_TB1TFL.nii.gz -iseg sub-MNI2_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-MNI2_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MNI2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MNI2_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-MNI2_inv-1_part-mag_MP2RAGE_crop.nii.gz (63, 75, 361)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-31-30_register-wrapper_qurr_2ro)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-31-30_register-wrapper_qurr_2ro
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-31-32_register-slicewise_e3rfjl1t)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 63 x 75 x 361
voxel size: 0.7065217mm x 0.7000043mm x 361mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/361 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/361 [00:00<01:17, 4.63iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
Estimate cord angle for each slice: 35%|███████▌ | 125/361 [00:00<00:00, 496.23iter/s]
Estimate cord angle for each slice: 69%|███████████████ | 248/361 [00:00<00:00, 761.09iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #348 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #349 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #350 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #351 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #352 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #353 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #354 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #355 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #356 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #357 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #358 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #359 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #360 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 361/361 [00:00<00:00, 718.31iter/s]
Build 3D deformation field: 0%| | 0/345 [00:00<?, ?iter/s]
Build 3D deformation field: 5%|█▌ | 18/345 [00:00<00:01, 171.62iter/s]
Build 3D deformation field: 11%|███▎ | 37/345 [00:00<00:01, 178.75iter/s]
Build 3D deformation field: 16%|█████ | 56/345 [00:00<00:01, 180.87iter/s]
Build 3D deformation field: 22%|██████▋ | 75/345 [00:00<00:01, 181.60iter/s]
Build 3D deformation field: 27%|████████▍ | 94/345 [00:00<00:01, 182.54iter/s]
Build 3D deformation field: 33%|█████████▊ | 113/345 [00:00<00:01, 182.91iter/s]
Build 3D deformation field: 38%|███████████▍ | 132/345 [00:00<00:01, 183.52iter/s]
Build 3D deformation field: 44%|█████████████▏ | 151/345 [00:00<00:01, 183.42iter/s]
Build 3D deformation field: 49%|██████████████▊ | 170/345 [00:00<00:00, 182.54iter/s]
Build 3D deformation field: 55%|████████████████▍ | 189/345 [00:01<00:00, 182.86iter/s]
Build 3D deformation field: 60%|██████████████████ | 208/345 [00:01<00:00, 183.09iter/s]
Build 3D deformation field: 66%|███████████████████▋ | 227/345 [00:01<00:00, 183.43iter/s]
Build 3D deformation field: 71%|█████████████████████▍ | 246/345 [00:01<00:00, 183.74iter/s]
Build 3D deformation field: 77%|███████████████████████ | 265/345 [00:01<00:00, 184.15iter/s]
Build 3D deformation field: 82%|████████████████████████▋ | 284/345 [00:01<00:00, 184.49iter/s]
Build 3D deformation field: 88%|██████████████████████████▎ | 303/345 [00:01<00:00, 184.84iter/s]
Build 3D deformation field: 93%|████████████████████████████ | 322/345 [00:01<00:00, 184.63iter/s]
Build 3D deformation field: 99%|█████████████████████████████▋| 341/345 [00:01<00:00, 184.43iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 345/345 [00:01<00:00, 183.21iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-31-30_register-wrapper_qurr_2ro
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-31-30_register-wrapper_qurr_2ro
rm -rf /tmp/sct_2024-11-05_20-31-32_register-slicewise_e3rfjl1t
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-31-30_register-wrapper_qurr_2ro
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-31-30_register-wrapper_qurr_2ro
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI2_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-30_register-wrapper_qurr_2ro/warp_src2dest.nii.gz warp_sub-MNI2_acq-anat_TB1TFL2sub-MNI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MNI2_acq-anat_TB1TFL2sub-MNI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MNI2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-30_register-wrapper_qurr_2ro/warp_dest2src.nii.gz warp_sub-MNI2_inv-1_part-mag_MP2RAGE_crop2sub-MNI2_acq-anat_TB1TFL.nii.gz
File created: warp_sub-MNI2_inv-1_part-mag_MP2RAGE_crop2sub-MNI2_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-31-30_register-wrapper_qurr_2ro
Finished! Elapsed time: 8s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203138.376992.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI3_acq-anat_TB1TFL.nii.gz -iseg sub-MNI3_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-MNI3_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MNI3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MNI3_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-MNI3_inv-1_part-mag_MP2RAGE_crop.nii.gz (69, 102, 260)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-31-41_register-wrapper_e6sy6m14)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-31-41_register-wrapper_e6sy6m14
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-31-43_register-slicewise_hlbj53hm)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 69 x 102 x 260
voxel size: 0.7065217mm x 0.6999958mm x 260mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/260 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/260 [00:00<00:55, 4.67iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
Estimate cord angle for each slice: 48%|██████████▍ | 124/260 [00:00<00:00, 493.63iter/s]
Estimate cord angle for each slice: 96%|█████████████████████ | 249/260 [00:00<00:00, 767.19iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #257 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #258 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #259 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 260/260 [00:00<00:00, 611.97iter/s]
Build 3D deformation field: 0%| | 0/252 [00:00<?, ?iter/s]
Build 3D deformation field: 5%|█▌ | 13/252 [00:00<00:01, 120.65iter/s]
Build 3D deformation field: 10%|███▏ | 26/252 [00:00<00:01, 123.32iter/s]
Build 3D deformation field: 15%|████▊ | 39/252 [00:00<00:01, 122.64iter/s]
Build 3D deformation field: 21%|██████▍ | 52/252 [00:00<00:01, 123.74iter/s]
Build 3D deformation field: 26%|███████▉ | 65/252 [00:00<00:01, 124.31iter/s]
Build 3D deformation field: 31%|█████████▌ | 78/252 [00:00<00:01, 125.52iter/s]
Build 3D deformation field: 36%|███████████▏ | 91/252 [00:00<00:01, 126.24iter/s]
Build 3D deformation field: 41%|████████████▍ | 104/252 [00:00<00:01, 125.72iter/s]
Build 3D deformation field: 46%|█████████████▉ | 117/252 [00:00<00:01, 125.44iter/s]
Build 3D deformation field: 52%|███████████████▍ | 130/252 [00:01<00:00, 126.28iter/s]
Build 3D deformation field: 57%|█████████████████ | 143/252 [00:01<00:00, 126.22iter/s]
Build 3D deformation field: 62%|██████████████████▌ | 156/252 [00:01<00:00, 125.32iter/s]
Build 3D deformation field: 67%|████████████████████ | 169/252 [00:01<00:00, 125.49iter/s]
Build 3D deformation field: 72%|█████████████████████▋ | 182/252 [00:01<00:00, 125.54iter/s]
Build 3D deformation field: 77%|███████████████████████▏ | 195/252 [00:01<00:00, 125.56iter/s]
Build 3D deformation field: 83%|████████████████████████▊ | 208/252 [00:01<00:00, 125.73iter/s]
Build 3D deformation field: 88%|██████████████████████████▎ | 221/252 [00:01<00:00, 126.05iter/s]
Build 3D deformation field: 93%|███████████████████████████▊ | 234/252 [00:01<00:00, 126.67iter/s]
Build 3D deformation field: 98%|█████████████████████████████▍| 247/252 [00:01<00:00, 126.37iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 252/252 [00:02<00:00, 125.56iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-31-41_register-wrapper_e6sy6m14
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-31-41_register-wrapper_e6sy6m14
rm -rf /tmp/sct_2024-11-05_20-31-43_register-slicewise_hlbj53hm
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-31-41_register-wrapper_e6sy6m14
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-31-41_register-wrapper_e6sy6m14
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI3_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-41_register-wrapper_e6sy6m14/warp_src2dest.nii.gz warp_sub-MNI3_acq-anat_TB1TFL2sub-MNI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MNI3_acq-anat_TB1TFL2sub-MNI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MNI3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-41_register-wrapper_e6sy6m14/warp_dest2src.nii.gz warp_sub-MNI3_inv-1_part-mag_MP2RAGE_crop2sub-MNI3_acq-anat_TB1TFL.nii.gz
File created: warp_sub-MNI3_inv-1_part-mag_MP2RAGE_crop2sub-MNI3_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-31-41_register-wrapper_e6sy6m14
Finished! Elapsed time: 8s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203149.334534.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI1_acq-anat_TB1TFL.nii.gz -iseg sub-MPI1_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-MPI1_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MPI1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MPI1_acq-anat_TB1TFL.nii.gz (90, 144, 56)
Destination ......... ../anat/sub-MPI1_inv-1_part-mag_MP2RAGE_crop.nii.gz (68, 89, 266)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-31-52_register-wrapper_zyc460m2)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-31-52_register-wrapper_zyc460m2
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-31-53_register-slicewise_8vmn0xfq)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 68 x 89 x 266
voxel size: 0.7065217mm x 0.7000045mm x 266mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/266 [00:00<?, ?iter/s]
Estimate cord angle for each slice: 0%| | 1/266 [00:00<00:58, 4.56iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #40 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #41 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #42 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #43 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #44 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #45 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #46 is empty. It will be ignored.
Estimate cord angle for each slice: 47%|██████████▎ | 125/266 [00:00<00:00, 491.52iter/s]
Estimate cord angle for each slice: 96%|█████████████████████ | 255/266 [00:00<00:00, 782.28iter/s]
Estimate cord angle for each slice: 100%|██████████████████████| 266/266 [00:00<00:00, 621.06iter/s]
Build 3D deformation field: 0%| | 0/248 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▊ | 14/248 [00:00<00:01, 136.42iter/s]
Build 3D deformation field: 12%|███▋ | 29/248 [00:00<00:01, 141.56iter/s]
Build 3D deformation field: 18%|█████▌ | 44/248 [00:00<00:01, 142.98iter/s]
Build 3D deformation field: 24%|███████▍ | 59/248 [00:00<00:01, 144.45iter/s]
Build 3D deformation field: 30%|█████████▎ | 74/248 [00:00<00:01, 145.01iter/s]
Build 3D deformation field: 36%|███████████▏ | 89/248 [00:00<00:01, 145.24iter/s]
Build 3D deformation field: 42%|████████████▌ | 104/248 [00:00<00:00, 145.43iter/s]
Build 3D deformation field: 48%|██████████████▍ | 119/248 [00:00<00:00, 145.39iter/s]
Build 3D deformation field: 54%|████████████████▏ | 134/248 [00:00<00:00, 145.25iter/s]
Build 3D deformation field: 60%|██████████████████ | 149/248 [00:01<00:00, 145.40iter/s]
Build 3D deformation field: 66%|███████████████████▊ | 164/248 [00:01<00:00, 143.74iter/s]
Build 3D deformation field: 72%|█████████████████████▋ | 179/248 [00:01<00:00, 144.35iter/s]
Build 3D deformation field: 78%|███████████████████████▍ | 194/248 [00:01<00:00, 145.20iter/s]
Build 3D deformation field: 84%|█████████████████████████▎ | 209/248 [00:01<00:00, 145.48iter/s]
Build 3D deformation field: 90%|███████████████████████████ | 224/248 [00:01<00:00, 145.21iter/s]
Build 3D deformation field: 96%|████████████████████████████▉ | 239/248 [00:01<00:00, 145.00iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 248/248 [00:01<00:00, 144.66iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-31-52_register-wrapper_zyc460m2
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-31-52_register-wrapper_zyc460m2
rm -rf /tmp/sct_2024-11-05_20-31-53_register-slicewise_8vmn0xfq
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-31-52_register-wrapper_zyc460m2
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-31-52_register-wrapper_zyc460m2
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI1_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-52_register-wrapper_zyc460m2/warp_src2dest.nii.gz warp_sub-MPI1_acq-anat_TB1TFL2sub-MPI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MPI1_acq-anat_TB1TFL2sub-MPI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MPI1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-31-52_register-wrapper_zyc460m2/warp_dest2src.nii.gz warp_sub-MPI1_inv-1_part-mag_MP2RAGE_crop2sub-MPI1_acq-anat_TB1TFL.nii.gz
File created: warp_sub-MPI1_inv-1_part-mag_MP2RAGE_crop2sub-MPI1_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-31-52_register-wrapper_zyc460m2
Finished! Elapsed time: 8s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Converting image from type 'uint8' to type 'float64' for linear interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203200.042708.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI2_acq-anat_TB1TFL.nii.gz -iseg sub-MPI2_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-MPI2_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MPI2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MPI2_acq-anat_TB1TFL.nii.gz (90, 144, 56)
Destination ......... ../anat/sub-MPI2_inv-1_part-mag_MP2RAGE_crop.nii.gz (61, 89, 276)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-32-02_register-wrapper_e08jghjb)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-32-02_register-wrapper_e08jghjb
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-32-04_register-slicewise_68netgjc)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 61 x 89 x 276
voxel size: 0.7065217mm x 0.6999956mm x 276mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/276 [00:00<?, ?iter/s]
Estimate cord angle for each slice: 0%| | 1/276 [00:00<00:58, 4.69iter/s]
Estimate cord angle for each slice: 46%|██████████▏ | 128/276 [00:00<00:00, 511.33iter/s]
Estimate cord angle for each slice: 93%|████████████████████▍ | 256/276 [00:00<00:00, 789.65iter/s]
Estimate cord angle for each slice: 100%|██████████████████████| 276/276 [00:00<00:00, 641.30iter/s]
Build 3D deformation field: 0%| | 0/276 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▊ | 16/276 [00:00<00:01, 153.99iter/s]
Build 3D deformation field: 12%|███▋ | 33/276 [00:00<00:01, 159.08iter/s]
Build 3D deformation field: 18%|█████▌ | 49/276 [00:00<00:01, 157.27iter/s]
Build 3D deformation field: 24%|███████▍ | 66/276 [00:00<00:01, 159.53iter/s]
Build 3D deformation field: 30%|█████████▎ | 83/276 [00:00<00:01, 160.90iter/s]
Build 3D deformation field: 36%|██████████▊ | 100/276 [00:00<00:01, 161.27iter/s]
Build 3D deformation field: 42%|████████████▋ | 117/276 [00:00<00:00, 161.61iter/s]
Build 3D deformation field: 49%|██████████████▌ | 134/276 [00:00<00:00, 161.75iter/s]
Build 3D deformation field: 55%|████████████████▍ | 151/276 [00:00<00:00, 162.08iter/s]
Build 3D deformation field: 61%|██████████████████▎ | 168/276 [00:01<00:00, 161.82iter/s]
Build 3D deformation field: 67%|████████████████████ | 185/276 [00:01<00:00, 162.18iter/s]
Build 3D deformation field: 73%|█████████████████████▉ | 202/276 [00:01<00:00, 162.11iter/s]
Build 3D deformation field: 79%|███████████████████████▊ | 219/276 [00:01<00:00, 162.13iter/s]
Build 3D deformation field: 86%|█████████████████████████▋ | 236/276 [00:01<00:00, 162.08iter/s]
Build 3D deformation field: 92%|███████████████████████████▌ | 253/276 [00:01<00:00, 162.25iter/s]
Build 3D deformation field: 98%|█████████████████████████████▎| 270/276 [00:01<00:00, 162.36iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 276/276 [00:01<00:00, 161.42iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-32-02_register-wrapper_e08jghjb
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-32-02_register-wrapper_e08jghjb
rm -rf /tmp/sct_2024-11-05_20-32-04_register-slicewise_68netgjc
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-32-02_register-wrapper_e08jghjb
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-32-02_register-wrapper_e08jghjb
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI2_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-02_register-wrapper_e08jghjb/warp_src2dest.nii.gz warp_sub-MPI2_acq-anat_TB1TFL2sub-MPI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MPI2_acq-anat_TB1TFL2sub-MPI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MPI2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-02_register-wrapper_e08jghjb/warp_dest2src.nii.gz warp_sub-MPI2_inv-1_part-mag_MP2RAGE_crop2sub-MPI2_acq-anat_TB1TFL.nii.gz
File created: warp_sub-MPI2_inv-1_part-mag_MP2RAGE_crop2sub-MPI2_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-32-02_register-wrapper_e08jghjb
Finished! Elapsed time: 7s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Converting image from type 'uint8' to type 'float64' for linear interpolation
Find the center of each slice
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203209.847925.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI3_acq-anat_TB1TFL.nii.gz -iseg sub-MPI3_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-MPI3_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MPI3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MPI3_acq-anat_TB1TFL.nii.gz (90, 144, 56)
Destination ......... ../anat/sub-MPI3_inv-1_part-mag_MP2RAGE_crop.nii.gz (68, 117, 282)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-32-12_register-wrapper_sm8l2fv3)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-32-12_register-wrapper_sm8l2fv3
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-32-14_register-slicewise_wv9jszbm)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 68 x 117 x 282
voxel size: 0.7065217mm x 0.7mm x 282mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/282 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/282 [00:00<01:01, 4.56iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
Estimate cord angle for each slice: 42%|█████████▏ | 118/282 [00:00<00:00, 463.75iter/s]
Estimate cord angle for each slice: 86%|██████████████████▉ | 243/282 [00:00<00:00, 746.43iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #279 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #280 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #281 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 282/282 [00:00<00:00, 626.07iter/s]
Build 3D deformation field: 0%| | 0/263 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▎ | 11/263 [00:00<00:02, 107.88iter/s]
Build 3D deformation field: 8%|██▌ | 22/263 [00:00<00:02, 108.89iter/s]
Build 3D deformation field: 13%|████ | 34/263 [00:00<00:02, 109.83iter/s]
Build 3D deformation field: 17%|█████▎ | 45/263 [00:00<00:01, 109.78iter/s]
Build 3D deformation field: 22%|██████▋ | 57/263 [00:00<00:01, 110.40iter/s]
Build 3D deformation field: 26%|████████▏ | 69/263 [00:00<00:01, 110.58iter/s]
Build 3D deformation field: 31%|█████████▌ | 81/263 [00:00<00:01, 111.55iter/s]
Build 3D deformation field: 35%|██████████▉ | 93/263 [00:00<00:01, 112.86iter/s]
Build 3D deformation field: 40%|███████████▉ | 105/263 [00:00<00:01, 112.51iter/s]
Build 3D deformation field: 44%|█████████████▎ | 117/263 [00:01<00:01, 112.62iter/s]
Build 3D deformation field: 49%|██████████████▋ | 129/263 [00:01<00:01, 111.86iter/s]
Build 3D deformation field: 54%|████████████████ | 141/263 [00:01<00:01, 111.27iter/s]
Build 3D deformation field: 58%|█████████████████▍ | 153/263 [00:01<00:00, 110.88iter/s]
Build 3D deformation field: 63%|██████████████████▊ | 165/263 [00:01<00:00, 110.42iter/s]
Build 3D deformation field: 67%|████████████████████▏ | 177/263 [00:01<00:00, 110.28iter/s]
Build 3D deformation field: 72%|█████████████████████▌ | 189/263 [00:01<00:00, 109.85iter/s]
Build 3D deformation field: 76%|██████████████████████▊ | 200/263 [00:01<00:00, 109.47iter/s]
Build 3D deformation field: 80%|████████████████████████ | 211/263 [00:01<00:00, 109.35iter/s]
Build 3D deformation field: 84%|█████████████████████████▎ | 222/263 [00:02<00:00, 109.21iter/s]
Build 3D deformation field: 89%|██████████████████████████▌ | 233/263 [00:02<00:00, 109.16iter/s]
Build 3D deformation field: 93%|███████████████████████████▉ | 245/263 [00:02<00:00, 110.01iter/s]
Build 3D deformation field: 97%|█████████████████████████████▏| 256/263 [00:02<00:00, 109.71iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 263/263 [00:02<00:00, 110.37iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-32-12_register-wrapper_sm8l2fv3
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-32-12_register-wrapper_sm8l2fv3
rm -rf /tmp/sct_2024-11-05_20-32-14_register-slicewise_wv9jszbm
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-32-12_register-wrapper_sm8l2fv3
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-32-12_register-wrapper_sm8l2fv3
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI3_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-12_register-wrapper_sm8l2fv3/warp_src2dest.nii.gz warp_sub-MPI3_acq-anat_TB1TFL2sub-MPI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MPI3_acq-anat_TB1TFL2sub-MPI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MPI3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-12_register-wrapper_sm8l2fv3/warp_dest2src.nii.gz warp_sub-MPI3_inv-1_part-mag_MP2RAGE_crop2sub-MPI3_acq-anat_TB1TFL.nii.gz
File created: warp_sub-MPI3_inv-1_part-mag_MP2RAGE_crop2sub-MPI3_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-32-12_register-wrapper_sm8l2fv3
Finished! Elapsed time: 10s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203222.097948.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM1_acq-famp_TB1TFL.nii.gz -d ../anat/sub-MSSM1_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MSSM1_UNIT1_seg_crop.nii.gz -identity 1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MSSM1_acq-famp_TB1TFL.nii.gz (88, 128, 56)
Destination ......... ../anat/sub-MSSM1_inv-1_part-mag_MP2RAGE_crop.nii.gz (68, 72, 238)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-32-25_register-wrapper_a3279_r5)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-32-25_register-wrapper_a3279_r5
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-32-25_register-wrapper_a3279_r5
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz # in /tmp/sct_2024-11-05_20-32-25_register-wrapper_a3279_r5
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM1_acq-famp_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-25_register-wrapper_a3279_r5/warp_src2dest.nii.gz warp_sub-MSSM1_acq-famp_TB1TFL2sub-MSSM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MSSM1_acq-famp_TB1TFL2sub-MSSM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MSSM1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-25_register-wrapper_a3279_r5/warp_dest2src.nii.gz warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-famp_TB1TFL.nii.gz
File created: warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-famp_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-32-25_register-wrapper_a3279_r5
Finished! Elapsed time: 2s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203227.425618.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM2_acq-famp_TB1TFL.nii.gz -d ../anat/sub-MSSM2_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MSSM2_UNIT1_seg_crop.nii.gz -identity 1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MSSM2_acq-famp_TB1TFL.nii.gz (88, 128, 56)
Destination ......... ../anat/sub-MSSM2_inv-1_part-mag_MP2RAGE_crop.nii.gz (62, 74, 228)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-32-29_register-wrapper_75te8dnw)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-32-29_register-wrapper_75te8dnw
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-32-29_register-wrapper_75te8dnw
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz # in /tmp/sct_2024-11-05_20-32-29_register-wrapper_75te8dnw
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM2_acq-famp_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-29_register-wrapper_75te8dnw/warp_src2dest.nii.gz warp_sub-MSSM2_acq-famp_TB1TFL2sub-MSSM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MSSM2_acq-famp_TB1TFL2sub-MSSM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MSSM2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-29_register-wrapper_75te8dnw/warp_dest2src.nii.gz warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-famp_TB1TFL.nii.gz
File created: warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-famp_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-32-29_register-wrapper_75te8dnw
Finished! Elapsed time: 2s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203231.970795.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM3_acq-famp_TB1TFL.nii.gz -d ../anat/sub-MSSM3_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-MSSM3_UNIT1_seg_crop.nii.gz -identity 1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MSSM3_acq-famp_TB1TFL.nii.gz (88, 128, 56)
Destination ......... ../anat/sub-MSSM3_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 104, 289)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-32-34_register-wrapper_pui2gesz)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-32-34_register-wrapper_pui2gesz
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-32-34_register-wrapper_pui2gesz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz # in /tmp/sct_2024-11-05_20-32-34_register-wrapper_pui2gesz
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM3_acq-famp_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-34_register-wrapper_pui2gesz/warp_src2dest.nii.gz warp_sub-MSSM3_acq-famp_TB1TFL2sub-MSSM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MSSM3_acq-famp_TB1TFL2sub-MSSM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-MSSM3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-34_register-wrapper_pui2gesz/warp_dest2src.nii.gz warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-famp_TB1TFL.nii.gz
File created: warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-famp_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-32-34_register-wrapper_pui2gesz
Finished! Elapsed time: 4s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203237.902444.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU1_acq-anat_TB1TFL.nii.gz -iseg sub-NTNU1_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-NTNU1_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-NTNU1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-NTNU1_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-NTNU1_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 65, 296)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-32-40_register-wrapper_70t5854p)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-32-40_register-wrapper_70t5854p
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-32-42_register-slicewise_kbnag4gv)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 65 x 65 x 296
voxel size: 0.7065217mm x 0.6999944mm x 296mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/296 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/296 [00:00<01:02, 4.70iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #24 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #25 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #26 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #27 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #28 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #29 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #30 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #31 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #32 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #33 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #34 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #35 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #36 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #37 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #38 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #39 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #40 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #41 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #42 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #43 is empty. It will be ignored.
Estimate cord angle for each slice: 42%|█████████▏ | 123/296 [00:00<00:00, 492.22iter/s]
Estimate cord angle for each slice: 86%|██████████████████▉ | 255/296 [00:00<00:00, 793.11iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #284 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #285 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #286 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #287 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #288 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #289 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #290 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #291 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #292 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #293 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #294 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #295 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 296/296 [00:00<00:00, 670.32iter/s]
Build 3D deformation field: 0%| | 0/240 [00:00<?, ?iter/s]
Build 3D deformation field: 8%|██▌ | 20/240 [00:00<00:01, 196.21iter/s]
Build 3D deformation field: 17%|█████▎ | 41/240 [00:00<00:00, 204.21iter/s]
Build 3D deformation field: 26%|████████ | 62/240 [00:00<00:00, 204.71iter/s]
Build 3D deformation field: 35%|██████████▋ | 83/240 [00:00<00:00, 205.82iter/s]
Build 3D deformation field: 43%|█████████████ | 104/240 [00:00<00:00, 206.41iter/s]
Build 3D deformation field: 52%|███████████████▋ | 125/240 [00:00<00:00, 206.48iter/s]
Build 3D deformation field: 61%|██████████████████▎ | 146/240 [00:00<00:00, 205.90iter/s]
Build 3D deformation field: 70%|████████████████████▉ | 167/240 [00:00<00:00, 206.06iter/s]
Build 3D deformation field: 78%|███████████████████████▌ | 188/240 [00:00<00:00, 205.89iter/s]
Build 3D deformation field: 87%|██████████████████████████▏ | 209/240 [00:01<00:00, 205.94iter/s]
Build 3D deformation field: 96%|████████████████████████████▊ | 230/240 [00:01<00:00, 205.92iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 240/240 [00:01<00:00, 205.60iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-32-40_register-wrapper_70t5854p
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-32-40_register-wrapper_70t5854p
rm -rf /tmp/sct_2024-11-05_20-32-42_register-slicewise_kbnag4gv
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-32-40_register-wrapper_70t5854p
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-32-40_register-wrapper_70t5854p
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU1_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-40_register-wrapper_70t5854p/warp_src2dest.nii.gz warp_sub-NTNU1_acq-anat_TB1TFL2sub-NTNU1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-NTNU1_acq-anat_TB1TFL2sub-NTNU1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-NTNU1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-40_register-wrapper_70t5854p/warp_dest2src.nii.gz warp_sub-NTNU1_inv-1_part-mag_MP2RAGE_crop2sub-NTNU1_acq-anat_TB1TFL.nii.gz
File created: warp_sub-NTNU1_inv-1_part-mag_MP2RAGE_crop2sub-NTNU1_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-32-40_register-wrapper_70t5854p
Finished! Elapsed time: 6s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203246.795099.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU2_acq-anat_TB1TFL.nii.gz -iseg sub-NTNU2_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-NTNU2_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-NTNU2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-NTNU2_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-NTNU2_inv-1_part-mag_MP2RAGE_crop.nii.gz (69, 71, 234)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-32-49_register-wrapper_w80z1ely)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-32-49_register-wrapper_w80z1ely
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-32-50_register-slicewise_01tnjvcz)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 69 x 71 x 234
voxel size: 0.7065217mm x 0.6999992mm x 234mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/234 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/234 [00:00<00:49, 4.72iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
Estimate cord angle for each slice: 55%|████████████ | 128/234 [00:00<00:00, 512.87iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #230 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #231 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #232 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #233 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 234/234 [00:00<00:00, 590.38iter/s]
Build 3D deformation field: 0%| | 0/225 [00:00<?, ?iter/s]
Build 3D deformation field: 8%|██▍ | 18/225 [00:00<00:01, 170.42iter/s]
Build 3D deformation field: 16%|████▉ | 36/225 [00:00<00:01, 174.06iter/s]
Build 3D deformation field: 24%|███████▍ | 54/225 [00:00<00:00, 174.96iter/s]
Build 3D deformation field: 32%|█████████▉ | 72/225 [00:00<00:00, 175.03iter/s]
Build 3D deformation field: 40%|████████████▍ | 90/225 [00:00<00:00, 175.20iter/s]
Build 3D deformation field: 48%|██████████████▍ | 108/225 [00:00<00:00, 175.02iter/s]
Build 3D deformation field: 56%|████████████████▊ | 126/225 [00:00<00:00, 175.57iter/s]
Build 3D deformation field: 64%|███████████████████▏ | 144/225 [00:00<00:00, 175.93iter/s]
Build 3D deformation field: 72%|█████████████████████▌ | 162/225 [00:00<00:00, 176.12iter/s]
Build 3D deformation field: 80%|████████████████████████ | 180/225 [00:01<00:00, 176.15iter/s]
Build 3D deformation field: 88%|██████████████████████████▍ | 198/225 [00:01<00:00, 176.16iter/s]
Build 3D deformation field: 96%|████████████████████████████▊ | 216/225 [00:01<00:00, 176.20iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 225/225 [00:01<00:00, 175.58iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-32-49_register-wrapper_w80z1ely
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-32-49_register-wrapper_w80z1ely
rm -rf /tmp/sct_2024-11-05_20-32-50_register-slicewise_01tnjvcz
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-32-49_register-wrapper_w80z1ely
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-32-49_register-wrapper_w80z1ely
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU2_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-49_register-wrapper_w80z1ely/warp_src2dest.nii.gz warp_sub-NTNU2_acq-anat_TB1TFL2sub-NTNU2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-NTNU2_acq-anat_TB1TFL2sub-NTNU2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-NTNU2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-49_register-wrapper_w80z1ely/warp_dest2src.nii.gz warp_sub-NTNU2_inv-1_part-mag_MP2RAGE_crop2sub-NTNU2_acq-anat_TB1TFL.nii.gz
File created: warp_sub-NTNU2_inv-1_part-mag_MP2RAGE_crop2sub-NTNU2_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-32-49_register-wrapper_w80z1ely
Finished! Elapsed time: 6s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203254.999054.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU3_acq-anat_TB1TFL.nii.gz -iseg sub-NTNU3_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-NTNU3_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-NTNU3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-NTNU3_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-NTNU3_inv-1_part-mag_MP2RAGE_crop.nii.gz (60, 103, 322)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-32-57_register-wrapper_93zg40yk)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-32-57_register-wrapper_93zg40yk
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-32-59_register-slicewise_sa403x1q)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 60 x 103 x 322
voxel size: 0.7065217mm x 0.6999952mm x 322mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/322 [00:00<?, ?iter/s]
Estimate cord angle for each slice: 0%| | 1/322 [00:00<01:09, 4.60iter/s]
Estimate cord angle for each slice: 39%|████████▋ | 127/322 [00:00<00:00, 502.09iter/s]
Estimate cord angle for each slice: 79%|█████████████████▍ | 255/322 [00:00<00:00, 782.31iter/s]
Estimate cord angle for each slice: 100%|██████████████████████| 322/322 [00:00<00:00, 684.88iter/s]
Build 3D deformation field: 0%| | 0/322 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▎ | 14/322 [00:00<00:02, 131.16iter/s]
Build 3D deformation field: 9%|██▊ | 29/322 [00:00<00:02, 137.13iter/s]
Build 3D deformation field: 14%|████▏ | 44/322 [00:00<00:01, 139.78iter/s]
Build 3D deformation field: 18%|█████▋ | 59/322 [00:00<00:01, 140.65iter/s]
Build 3D deformation field: 23%|███████ | 74/322 [00:00<00:01, 141.91iter/s]
Build 3D deformation field: 28%|████████▌ | 89/322 [00:00<00:01, 142.92iter/s]
Build 3D deformation field: 32%|█████████▋ | 104/322 [00:00<00:01, 142.25iter/s]
Build 3D deformation field: 37%|███████████ | 119/322 [00:00<00:01, 142.19iter/s]
Build 3D deformation field: 42%|████████████▍ | 134/322 [00:00<00:01, 141.80iter/s]
Build 3D deformation field: 46%|█████████████▉ | 149/322 [00:01<00:01, 142.06iter/s]
Build 3D deformation field: 51%|███████████████▎ | 164/322 [00:01<00:01, 141.95iter/s]
Build 3D deformation field: 56%|████████████████▋ | 179/322 [00:01<00:01, 141.17iter/s]
Build 3D deformation field: 60%|██████████████████ | 194/322 [00:01<00:00, 140.61iter/s]
Build 3D deformation field: 65%|███████████████████▍ | 209/322 [00:01<00:00, 140.78iter/s]
Build 3D deformation field: 70%|████████████████████▊ | 224/322 [00:01<00:00, 141.02iter/s]
Build 3D deformation field: 74%|██████████████████████▎ | 239/322 [00:01<00:00, 141.21iter/s]
Build 3D deformation field: 79%|███████████████████████▋ | 254/322 [00:01<00:00, 141.25iter/s]
Build 3D deformation field: 84%|█████████████████████████ | 269/322 [00:01<00:00, 141.59iter/s]
Build 3D deformation field: 88%|██████████████████████████▍ | 284/322 [00:02<00:00, 142.17iter/s]
Build 3D deformation field: 93%|███████████████████████████▊ | 299/322 [00:02<00:00, 142.46iter/s]
Build 3D deformation field: 98%|█████████████████████████████▎| 314/322 [00:02<00:00, 142.40iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 322/322 [00:02<00:00, 141.46iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-32-57_register-wrapper_93zg40yk
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-32-57_register-wrapper_93zg40yk
rm -rf /tmp/sct_2024-11-05_20-32-59_register-slicewise_sa403x1q
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-32-57_register-wrapper_93zg40yk
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-32-57_register-wrapper_93zg40yk
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU3_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-57_register-wrapper_93zg40yk/warp_src2dest.nii.gz warp_sub-NTNU3_acq-anat_TB1TFL2sub-NTNU3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-NTNU3_acq-anat_TB1TFL2sub-NTNU3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-NTNU3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-32-57_register-wrapper_93zg40yk/warp_dest2src.nii.gz warp_sub-NTNU3_inv-1_part-mag_MP2RAGE_crop2sub-NTNU3_acq-anat_TB1TFL.nii.gz
File created: warp_sub-NTNU3_inv-1_part-mag_MP2RAGE_crop2sub-NTNU3_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-32-57_register-wrapper_93zg40yk
Finished! Elapsed time: 9s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Converting image from type 'uint8' to type 'float64' for linear interpolation
Find the center of each slice
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203306.381970.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL1_acq-anat_TB1TFL.nii.gz -iseg sub-UCL1_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-UCL1_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-UCL1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-UCL1_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-UCL1_inv-1_part-mag_MP2RAGE_crop.nii.gz (67, 105, 333)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-33-09_register-wrapper_pvj0c8pr)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-33-09_register-wrapper_pvj0c8pr
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-33-11_register-slicewise_hdfizhxa)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 67 x 105 x 333
voxel size: 0.7065217mm x 0.7mm x 333mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/333 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/333 [00:00<01:12, 4.56iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #24 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #25 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #26 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #27 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #28 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #29 is empty. It will be ignored.
Estimate cord angle for each slice: 36%|███████▊ | 119/333 [00:00<00:00, 467.94iter/s]
Estimate cord angle for each slice: 72%|███████████████▉ | 241/333 [00:00<00:00, 737.01iter/s]
Estimate cord angle for each slice: 100%|██████████████████████| 333/333 [00:00<00:00, 674.24iter/s]
Build 3D deformation field: 0%| | 0/303 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▏ | 12/303 [00:00<00:02, 116.89iter/s]
Build 3D deformation field: 8%|██▌ | 25/303 [00:00<00:02, 122.09iter/s]
Build 3D deformation field: 13%|███▉ | 38/303 [00:00<00:02, 123.42iter/s]
Build 3D deformation field: 17%|█████▏ | 51/303 [00:00<00:02, 124.43iter/s]
Build 3D deformation field: 21%|██████▌ | 64/303 [00:00<00:01, 124.89iter/s]
Build 3D deformation field: 25%|███████▉ | 77/303 [00:00<00:01, 125.22iter/s]
Build 3D deformation field: 30%|█████████▏ | 90/303 [00:00<00:01, 125.43iter/s]
Build 3D deformation field: 34%|██████████▏ | 103/303 [00:00<00:01, 125.43iter/s]
Build 3D deformation field: 38%|███████████▍ | 116/303 [00:00<00:01, 125.51iter/s]
Build 3D deformation field: 43%|████████████▊ | 129/303 [00:01<00:01, 125.51iter/s]
Build 3D deformation field: 47%|██████████████ | 142/303 [00:01<00:01, 125.51iter/s]
Build 3D deformation field: 51%|███████████████▎ | 155/303 [00:01<00:01, 125.28iter/s]
Build 3D deformation field: 55%|████████████████▋ | 168/303 [00:01<00:01, 125.30iter/s]
Build 3D deformation field: 60%|█████████████████▉ | 181/303 [00:01<00:00, 125.81iter/s]
Build 3D deformation field: 64%|███████████████████▏ | 194/303 [00:01<00:00, 126.11iter/s]
Build 3D deformation field: 68%|████████████████████▍ | 207/303 [00:01<00:00, 126.13iter/s]
Build 3D deformation field: 73%|█████████████████████▊ | 220/303 [00:01<00:00, 126.37iter/s]
Build 3D deformation field: 77%|███████████████████████ | 233/303 [00:01<00:00, 125.84iter/s]
Build 3D deformation field: 81%|████████████████████████▎ | 246/303 [00:01<00:00, 126.26iter/s]
Build 3D deformation field: 85%|█████████████████████████▋ | 259/303 [00:02<00:00, 126.07iter/s]
Build 3D deformation field: 90%|██████████████████████████▉ | 272/303 [00:02<00:00, 126.03iter/s]
Build 3D deformation field: 94%|████████████████████████████▏ | 285/303 [00:02<00:00, 125.43iter/s]
Build 3D deformation field: 98%|█████████████████████████████▌| 298/303 [00:02<00:00, 125.93iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 303/303 [00:02<00:00, 125.42iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-33-09_register-wrapper_pvj0c8pr
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-33-09_register-wrapper_pvj0c8pr
rm -rf /tmp/sct_2024-11-05_20-33-11_register-slicewise_hdfizhxa
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-33-09_register-wrapper_pvj0c8pr
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-33-09_register-wrapper_pvj0c8pr
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL1_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-33-09_register-wrapper_pvj0c8pr/warp_src2dest.nii.gz warp_sub-UCL1_acq-anat_TB1TFL2sub-UCL1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-UCL1_acq-anat_TB1TFL2sub-UCL1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-UCL1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-33-09_register-wrapper_pvj0c8pr/warp_dest2src.nii.gz warp_sub-UCL1_inv-1_part-mag_MP2RAGE_crop2sub-UCL1_acq-anat_TB1TFL.nii.gz
File created: warp_sub-UCL1_inv-1_part-mag_MP2RAGE_crop2sub-UCL1_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-33-09_register-wrapper_pvj0c8pr
Finished! Elapsed time: 10s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203319.387042.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL2_acq-anat_TB1TFL.nii.gz -iseg sub-UCL2_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-UCL2_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-UCL2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-UCL2_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-UCL2_inv-1_part-mag_MP2RAGE_crop.nii.gz (75, 110, 287)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-33-22_register-wrapper_68tabwze)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-33-22_register-wrapper_68tabwze
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-33-25_register-slicewise_6ukz452v)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 75 x 110 x 287
voxel size: 0.7065217mm x 0.7000031mm x 287mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/287 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/287 [00:00<01:00, 4.72iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
Estimate cord angle for each slice: 43%|█████████▍ | 123/287 [00:00<00:00, 493.05iter/s]
Estimate cord angle for each slice: 86%|██████████████████▊ | 246/287 [00:00<00:00, 761.17iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #265 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #266 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #267 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #268 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #269 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #270 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #271 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #272 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #273 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #274 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #275 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #276 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #277 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #278 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #279 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #280 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #281 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #282 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #283 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #284 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #285 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #286 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 287/287 [00:00<00:00, 654.24iter/s]
Build 3D deformation field: 0%| | 0/262 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▏ | 10/262 [00:00<00:02, 98.95iter/s]
Build 3D deformation field: 8%|██▍ | 21/262 [00:00<00:02, 103.48iter/s]
Build 3D deformation field: 12%|███▊ | 32/262 [00:00<00:02, 104.52iter/s]
Build 3D deformation field: 16%|█████ | 43/262 [00:00<00:02, 105.29iter/s]
Build 3D deformation field: 21%|██████▍ | 54/262 [00:00<00:01, 105.97iter/s]
Build 3D deformation field: 25%|███████▋ | 65/262 [00:00<00:01, 106.79iter/s]
Build 3D deformation field: 29%|████████▉ | 76/262 [00:00<00:01, 106.99iter/s]
Build 3D deformation field: 33%|██████████▎ | 87/262 [00:00<00:01, 107.01iter/s]
Build 3D deformation field: 37%|███████████▌ | 98/262 [00:00<00:01, 107.57iter/s]
Build 3D deformation field: 42%|████████████▍ | 109/262 [00:01<00:01, 108.01iter/s]
Build 3D deformation field: 46%|█████████████▊ | 121/262 [00:01<00:01, 109.45iter/s]
Build 3D deformation field: 50%|███████████████ | 132/262 [00:01<00:01, 109.05iter/s]
Build 3D deformation field: 55%|████████████████▎ | 143/262 [00:01<00:01, 109.25iter/s]
Build 3D deformation field: 59%|█████████████████▋ | 154/262 [00:01<00:00, 109.03iter/s]
Build 3D deformation field: 63%|██████████████████▉ | 165/262 [00:01<00:00, 109.15iter/s]
Build 3D deformation field: 67%|████████████████████▏ | 176/262 [00:01<00:00, 108.37iter/s]
Build 3D deformation field: 72%|█████████████████████▌ | 188/262 [00:01<00:00, 109.06iter/s]
Build 3D deformation field: 76%|██████████████████████▊ | 199/262 [00:01<00:00, 108.37iter/s]
Build 3D deformation field: 80%|████████████████████████ | 210/262 [00:01<00:00, 108.45iter/s]
Build 3D deformation field: 84%|█████████████████████████▎ | 221/262 [00:02<00:00, 107.84iter/s]
Build 3D deformation field: 89%|██████████████████████████▌ | 232/262 [00:02<00:00, 107.55iter/s]
Build 3D deformation field: 93%|███████████████████████████▊ | 243/262 [00:02<00:00, 107.43iter/s]
Build 3D deformation field: 97%|█████████████████████████████ | 254/262 [00:02<00:00, 107.22iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 262/262 [00:02<00:00, 107.51iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-33-22_register-wrapper_68tabwze
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-33-22_register-wrapper_68tabwze
rm -rf /tmp/sct_2024-11-05_20-33-25_register-slicewise_6ukz452v
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-33-22_register-wrapper_68tabwze
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-33-22_register-wrapper_68tabwze
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL2_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-33-22_register-wrapper_68tabwze/warp_src2dest.nii.gz warp_sub-UCL2_acq-anat_TB1TFL2sub-UCL2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-UCL2_acq-anat_TB1TFL2sub-UCL2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-UCL2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-33-22_register-wrapper_68tabwze/warp_dest2src.nii.gz warp_sub-UCL2_inv-1_part-mag_MP2RAGE_crop2sub-UCL2_acq-anat_TB1TFL.nii.gz
File created: warp_sub-UCL2_inv-1_part-mag_MP2RAGE_crop2sub-UCL2_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-33-22_register-wrapper_68tabwze
Finished! Elapsed time: 10s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203332.435259.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL3_acq-anat_TB1TFL.nii.gz -iseg sub-UCL3_acq-anat_TB1TFL_seg.nii.gz -d ../anat/sub-UCL3_inv-1_part-mag_MP2RAGE_crop.nii.gz -dseg ../anat/sub-UCL3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-UCL3_acq-anat_TB1TFL.nii.gz (88, 144, 56)
Destination ......... ../anat/sub-UCL3_inv-1_part-mag_MP2RAGE_crop.nii.gz (69, 115, 300)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-33-35_register-wrapper_yzb9r8nn)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-33-35_register-wrapper_yzb9r8nn
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_20-33-38_register-slicewise_u7iqxcll)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 69 x 115 x 300
voxel size: 0.7065217mm x 0.7mm x 300mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/300 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/300 [00:00<01:04, 4.64iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
Estimate cord angle for each slice: 41%|█████████ | 123/300 [00:00<00:00, 487.90iter/s]
Estimate cord angle for each slice: 82%|██████████████████ | 247/300 [00:00<00:00, 759.18iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #266 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #267 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #268 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #269 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #270 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #271 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #272 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #273 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #274 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #275 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #276 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #277 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #278 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #279 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #280 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #281 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #282 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #283 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #284 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #285 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #286 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #287 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #288 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #289 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #290 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #291 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #292 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #293 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #294 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #295 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #296 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #297 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #298 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #299 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 300/300 [00:00<00:00, 669.86iter/s]
Build 3D deformation field: 0%| | 0/260 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▎ | 11/260 [00:00<00:02, 103.65iter/s]
Build 3D deformation field: 9%|██▋ | 23/260 [00:00<00:02, 108.24iter/s]
Build 3D deformation field: 13%|████▏ | 35/260 [00:00<00:02, 110.69iter/s]
Build 3D deformation field: 18%|█████▌ | 47/260 [00:00<00:01, 111.38iter/s]
Build 3D deformation field: 23%|███████ | 59/260 [00:00<00:01, 111.61iter/s]
Build 3D deformation field: 27%|████████▍ | 71/260 [00:00<00:01, 111.96iter/s]
Build 3D deformation field: 32%|█████████▉ | 83/260 [00:00<00:01, 112.35iter/s]
Build 3D deformation field: 37%|███████████▎ | 95/260 [00:00<00:01, 112.20iter/s]
Build 3D deformation field: 41%|████████████▎ | 107/260 [00:00<00:01, 111.96iter/s]
Build 3D deformation field: 46%|█████████████▋ | 119/260 [00:01<00:01, 111.84iter/s]
Build 3D deformation field: 50%|███████████████ | 131/260 [00:01<00:01, 111.29iter/s]
Build 3D deformation field: 55%|████████████████▌ | 143/260 [00:01<00:01, 111.08iter/s]
Build 3D deformation field: 60%|█████████████████▉ | 155/260 [00:01<00:00, 110.77iter/s]
Build 3D deformation field: 64%|███████████████████▎ | 167/260 [00:01<00:00, 111.46iter/s]
Build 3D deformation field: 69%|████████████████████▋ | 179/260 [00:01<00:00, 111.40iter/s]
Build 3D deformation field: 73%|██████████████████████ | 191/260 [00:01<00:00, 112.08iter/s]
Build 3D deformation field: 78%|███████████████████████▍ | 203/260 [00:01<00:00, 112.33iter/s]
Build 3D deformation field: 83%|████████████████████████▊ | 215/260 [00:01<00:00, 112.30iter/s]
Build 3D deformation field: 87%|██████████████████████████▏ | 227/260 [00:02<00:00, 112.18iter/s]
Build 3D deformation field: 92%|███████████████████████████▌ | 239/260 [00:02<00:00, 111.78iter/s]
Build 3D deformation field: 97%|████████████████████████████▉ | 251/260 [00:02<00:00, 111.82iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 260/260 [00:02<00:00, 111.50iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_20-33-35_register-wrapper_yzb9r8nn
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_20-33-35_register-wrapper_yzb9r8nn
rm -rf /tmp/sct_2024-11-05_20-33-38_register-slicewise_u7iqxcll
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-33-35_register-wrapper_yzb9r8nn
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-33-35_register-wrapper_yzb9r8nn
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL3_acq-anat_TB1TFL_reg.nii.gz
mv /tmp/sct_2024-11-05_20-33-35_register-wrapper_yzb9r8nn/warp_src2dest.nii.gz warp_sub-UCL3_acq-anat_TB1TFL2sub-UCL3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-UCL3_acq-anat_TB1TFL2sub-UCL3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: sub-UCL3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-33-35_register-wrapper_yzb9r8nn/warp_dest2src.nii.gz warp_sub-UCL3_inv-1_part-mag_MP2RAGE_crop2sub-UCL3_acq-anat_TB1TFL.nii.gz
File created: warp_sub-UCL3_inv-1_part-mag_MP2RAGE_crop2sub-UCL3_acq-anat_TB1TFL.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-33-35_register-wrapper_yzb9r8nn
Finished! Elapsed time: 10s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203345.481755.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
Register DREAM to MP2RAGE#
# Register DREAM data (B1+ mapping) to the MP2RAGE scan ⏳
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "fmap"))
!sct_register_multimodal -i {subject}_acq-famp_TB1DREAM.nii.gz -d ../anat/{subject}_UNIT1_crop.nii.gz -dseg ../anat/{subject}_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc "{path_qc}"
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-CRMBM1_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-CRMBM1_UNIT1_crop.nii.gz -dseg ../anat/sub-CRMBM1_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-CRMBM1_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-CRMBM1_UNIT1_crop.nii.gz (65, 100, 314)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-33-48_register-wrapper_xn8s6cr5)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-33-48_register-wrapper_xn8s6cr5
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-33-48_register-wrapper_xn8s6cr5
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-33-48_register-wrapper_xn8s6cr5
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-33-48_register-wrapper_xn8s6cr5
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-CRMBM1_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-33-48_register-wrapper_xn8s6cr5/warp_src2dest.nii.gz warp_sub-CRMBM1_acq-famp_TB1DREAM2sub-CRMBM1_UNIT1_crop.nii.gz
File created: warp_sub-CRMBM1_acq-famp_TB1DREAM2sub-CRMBM1_UNIT1_crop.nii.gz
File created: sub-CRMBM1_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-33-48_register-wrapper_xn8s6cr5/warp_dest2src.nii.gz warp_sub-CRMBM1_UNIT1_crop2sub-CRMBM1_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-CRMBM1_UNIT1_crop2sub-CRMBM1_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-33-48_register-wrapper_xn8s6cr5
Finished! Elapsed time: 109s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203537.993580.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-CRMBM2_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-CRMBM2_UNIT1_crop.nii.gz -dseg ../anat/sub-CRMBM2_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-CRMBM2_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-CRMBM2_UNIT1_crop.nii.gz (65, 90, 226)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-35-40_register-wrapper_8tykv03k)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-35-40_register-wrapper_8tykv03k
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-35-40_register-wrapper_8tykv03k
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-35-40_register-wrapper_8tykv03k
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-35-40_register-wrapper_8tykv03k
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-CRMBM2_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-35-40_register-wrapper_8tykv03k/warp_src2dest.nii.gz warp_sub-CRMBM2_acq-famp_TB1DREAM2sub-CRMBM2_UNIT1_crop.nii.gz
File created: warp_sub-CRMBM2_acq-famp_TB1DREAM2sub-CRMBM2_UNIT1_crop.nii.gz
File created: sub-CRMBM2_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-35-40_register-wrapper_8tykv03k/warp_dest2src.nii.gz warp_sub-CRMBM2_UNIT1_crop2sub-CRMBM2_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-CRMBM2_UNIT1_crop2sub-CRMBM2_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-35-40_register-wrapper_8tykv03k
Finished! Elapsed time: 84s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203705.006839.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-CRMBM3_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-CRMBM3_UNIT1_crop.nii.gz -dseg ../anat/sub-CRMBM3_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-CRMBM3_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-CRMBM3_UNIT1_crop.nii.gz (69, 121, 337)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-37-07_register-wrapper_yeogfnrr)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-37-07_register-wrapper_yeogfnrr
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-37-07_register-wrapper_yeogfnrr
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-37-07_register-wrapper_yeogfnrr
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-37-07_register-wrapper_yeogfnrr
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-CRMBM3_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-37-07_register-wrapper_yeogfnrr/warp_src2dest.nii.gz warp_sub-CRMBM3_acq-famp_TB1DREAM2sub-CRMBM3_UNIT1_crop.nii.gz
File created: warp_sub-CRMBM3_acq-famp_TB1DREAM2sub-CRMBM3_UNIT1_crop.nii.gz
File created: sub-CRMBM3_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-37-07_register-wrapper_yeogfnrr/warp_dest2src.nii.gz warp_sub-CRMBM3_UNIT1_crop2sub-CRMBM3_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-CRMBM3_UNIT1_crop2sub-CRMBM3_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-37-07_register-wrapper_yeogfnrr
Finished! Elapsed time: 143s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_203930.475126.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH1_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MGH1_UNIT1_crop.nii.gz -dseg ../anat/sub-MGH1_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MGH1_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MGH1_UNIT1_crop.nii.gz (62, 118, 226)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-39-33_register-wrapper_wio6xspt)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-39-33_register-wrapper_wio6xspt
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-39-33_register-wrapper_wio6xspt
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-39-33_register-wrapper_wio6xspt
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-39-33_register-wrapper_wio6xspt
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH1_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-39-33_register-wrapper_wio6xspt/warp_src2dest.nii.gz warp_sub-MGH1_acq-famp_TB1DREAM2sub-MGH1_UNIT1_crop.nii.gz
File created: warp_sub-MGH1_acq-famp_TB1DREAM2sub-MGH1_UNIT1_crop.nii.gz
File created: sub-MGH1_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-39-33_register-wrapper_wio6xspt/warp_dest2src.nii.gz warp_sub-MGH1_UNIT1_crop2sub-MGH1_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MGH1_UNIT1_crop2sub-MGH1_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-39-33_register-wrapper_wio6xspt
Finished! Elapsed time: 69s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_204043.028543.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH2_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MGH2_UNIT1_crop.nii.gz -dseg ../anat/sub-MGH2_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MGH2_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MGH2_UNIT1_crop.nii.gz (59, 117, 223)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-40-46_register-wrapper_8l7gjcsr)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-40-46_register-wrapper_8l7gjcsr
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-40-46_register-wrapper_8l7gjcsr
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-40-46_register-wrapper_8l7gjcsr
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-40-46_register-wrapper_8l7gjcsr
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH2_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-40-46_register-wrapper_8l7gjcsr/warp_src2dest.nii.gz warp_sub-MGH2_acq-famp_TB1DREAM2sub-MGH2_UNIT1_crop.nii.gz
File created: warp_sub-MGH2_acq-famp_TB1DREAM2sub-MGH2_UNIT1_crop.nii.gz
File created: sub-MGH2_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-40-46_register-wrapper_8l7gjcsr/warp_dest2src.nii.gz warp_sub-MGH2_UNIT1_crop2sub-MGH2_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MGH2_UNIT1_crop2sub-MGH2_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-40-46_register-wrapper_8l7gjcsr
Finished! Elapsed time: 70s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_204156.706221.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH3_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MGH3_UNIT1_crop.nii.gz -dseg ../anat/sub-MGH3_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MGH3_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MGH3_UNIT1_crop.nii.gz (63, 127, 238)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-41-59_register-wrapper_k7amog8o)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-41-59_register-wrapper_k7amog8o
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-41-59_register-wrapper_k7amog8o
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-41-59_register-wrapper_k7amog8o
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-41-59_register-wrapper_k7amog8o
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH3_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-41-59_register-wrapper_k7amog8o/warp_src2dest.nii.gz warp_sub-MGH3_acq-famp_TB1DREAM2sub-MGH3_UNIT1_crop.nii.gz
File created: warp_sub-MGH3_acq-famp_TB1DREAM2sub-MGH3_UNIT1_crop.nii.gz
File created: sub-MGH3_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-41-59_register-wrapper_k7amog8o/warp_dest2src.nii.gz warp_sub-MGH3_UNIT1_crop2sub-MGH3_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MGH3_UNIT1_crop2sub-MGH3_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-41-59_register-wrapper_k7amog8o
Finished! Elapsed time: 79s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_204319.044734.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI1_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MNI1_UNIT1_crop.nii.gz -dseg ../anat/sub-MNI1_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MNI1_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MNI1_UNIT1_crop.nii.gz (65, 77, 367)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-43-22_register-wrapper_56rpl1ap)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-43-22_register-wrapper_56rpl1ap
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-43-22_register-wrapper_56rpl1ap
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-43-22_register-wrapper_56rpl1ap
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-43-22_register-wrapper_56rpl1ap
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI1_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-43-22_register-wrapper_56rpl1ap/warp_src2dest.nii.gz warp_sub-MNI1_acq-famp_TB1DREAM2sub-MNI1_UNIT1_crop.nii.gz
File created: warp_sub-MNI1_acq-famp_TB1DREAM2sub-MNI1_UNIT1_crop.nii.gz
File created: sub-MNI1_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-43-22_register-wrapper_56rpl1ap/warp_dest2src.nii.gz warp_sub-MNI1_UNIT1_crop2sub-MNI1_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MNI1_UNIT1_crop2sub-MNI1_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-43-22_register-wrapper_56rpl1ap
Finished! Elapsed time: 90s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_204452.573405.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI2_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MNI2_UNIT1_crop.nii.gz -dseg ../anat/sub-MNI2_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MNI2_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MNI2_UNIT1_crop.nii.gz (63, 75, 361)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-44-55_register-wrapper_goyn0i53)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-44-55_register-wrapper_goyn0i53
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-44-55_register-wrapper_goyn0i53
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-44-55_register-wrapper_goyn0i53
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-44-55_register-wrapper_goyn0i53
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI2_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-44-55_register-wrapper_goyn0i53/warp_src2dest.nii.gz warp_sub-MNI2_acq-famp_TB1DREAM2sub-MNI2_UNIT1_crop.nii.gz
File created: warp_sub-MNI2_acq-famp_TB1DREAM2sub-MNI2_UNIT1_crop.nii.gz
File created: sub-MNI2_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-44-55_register-wrapper_goyn0i53/warp_dest2src.nii.gz warp_sub-MNI2_UNIT1_crop2sub-MNI2_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MNI2_UNIT1_crop2sub-MNI2_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-44-55_register-wrapper_goyn0i53
Finished! Elapsed time: 88s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_204623.876023.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI3_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MNI3_UNIT1_crop.nii.gz -dseg ../anat/sub-MNI3_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MNI3_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MNI3_UNIT1_crop.nii.gz (69, 102, 260)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-46-26_register-wrapper_4ueix7p2)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-46-26_register-wrapper_4ueix7p2
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-46-26_register-wrapper_4ueix7p2
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-46-26_register-wrapper_4ueix7p2
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-46-26_register-wrapper_4ueix7p2
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI3_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-46-26_register-wrapper_4ueix7p2/warp_src2dest.nii.gz warp_sub-MNI3_acq-famp_TB1DREAM2sub-MNI3_UNIT1_crop.nii.gz
File created: warp_sub-MNI3_acq-famp_TB1DREAM2sub-MNI3_UNIT1_crop.nii.gz
File created: sub-MNI3_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-46-26_register-wrapper_4ueix7p2/warp_dest2src.nii.gz warp_sub-MNI3_UNIT1_crop2sub-MNI3_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MNI3_UNIT1_crop2sub-MNI3_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-46-26_register-wrapper_4ueix7p2
Finished! Elapsed time: 118s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_204824.630982.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI1_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MPI1_UNIT1_crop.nii.gz -dseg ../anat/sub-MPI1_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MPI1_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MPI1_UNIT1_crop.nii.gz (68, 89, 266)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-48-27_register-wrapper_746leuj2)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-48-27_register-wrapper_746leuj2
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-48-27_register-wrapper_746leuj2
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-48-27_register-wrapper_746leuj2
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-48-27_register-wrapper_746leuj2
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI1_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-48-27_register-wrapper_746leuj2/warp_src2dest.nii.gz warp_sub-MPI1_acq-famp_TB1DREAM2sub-MPI1_UNIT1_crop.nii.gz
File created: warp_sub-MPI1_acq-famp_TB1DREAM2sub-MPI1_UNIT1_crop.nii.gz
File created: sub-MPI1_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-48-27_register-wrapper_746leuj2/warp_dest2src.nii.gz warp_sub-MPI1_UNIT1_crop2sub-MPI1_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MPI1_UNIT1_crop2sub-MPI1_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-48-27_register-wrapper_746leuj2
Finished! Elapsed time: 97s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Converting image from type 'uint8' to type 'float64' for linear interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_205004.726987.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI2_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MPI2_UNIT1_crop.nii.gz -dseg ../anat/sub-MPI2_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MPI2_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MPI2_UNIT1_crop.nii.gz (61, 89, 276)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-50-07_register-wrapper_jo_0gwu0)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-50-07_register-wrapper_jo_0gwu0
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-50-07_register-wrapper_jo_0gwu0
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-50-07_register-wrapper_jo_0gwu0
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-50-07_register-wrapper_jo_0gwu0
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI2_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-50-07_register-wrapper_jo_0gwu0/warp_src2dest.nii.gz warp_sub-MPI2_acq-famp_TB1DREAM2sub-MPI2_UNIT1_crop.nii.gz
File created: warp_sub-MPI2_acq-famp_TB1DREAM2sub-MPI2_UNIT1_crop.nii.gz
File created: sub-MPI2_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-50-07_register-wrapper_jo_0gwu0/warp_dest2src.nii.gz warp_sub-MPI2_UNIT1_crop2sub-MPI2_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MPI2_UNIT1_crop2sub-MPI2_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-50-07_register-wrapper_jo_0gwu0
Finished! Elapsed time: 88s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Converting image from type 'uint8' to type 'float64' for linear interpolation
Find the center of each slice
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_205134.843321.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI3_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MPI3_UNIT1_crop.nii.gz -dseg ../anat/sub-MPI3_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MPI3_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MPI3_UNIT1_crop.nii.gz (68, 117, 282)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-51-37_register-wrapper_vnmfiz1s)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-51-37_register-wrapper_vnmfiz1s
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-51-37_register-wrapper_vnmfiz1s
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-51-37_register-wrapper_vnmfiz1s
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-51-37_register-wrapper_vnmfiz1s
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI3_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-51-37_register-wrapper_vnmfiz1s/warp_src2dest.nii.gz warp_sub-MPI3_acq-famp_TB1DREAM2sub-MPI3_UNIT1_crop.nii.gz
File created: warp_sub-MPI3_acq-famp_TB1DREAM2sub-MPI3_UNIT1_crop.nii.gz
File created: sub-MPI3_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-51-37_register-wrapper_vnmfiz1s/warp_dest2src.nii.gz warp_sub-MPI3_UNIT1_crop2sub-MPI3_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MPI3_UNIT1_crop2sub-MPI3_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-51-37_register-wrapper_vnmfiz1s
Finished! Elapsed time: 142s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_205359.291249.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM1_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MSSM1_UNIT1_crop.nii.gz -dseg ../anat/sub-MSSM1_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MSSM1_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MSSM1_UNIT1_crop.nii.gz (68, 72, 238)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-54-02_register-wrapper_yz7yasaj)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-54-02_register-wrapper_yz7yasaj
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-54-02_register-wrapper_yz7yasaj
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-54-02_register-wrapper_yz7yasaj
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-54-02_register-wrapper_yz7yasaj
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM1_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-54-02_register-wrapper_yz7yasaj/warp_src2dest.nii.gz warp_sub-MSSM1_acq-famp_TB1DREAM2sub-MSSM1_UNIT1_crop.nii.gz
File created: warp_sub-MSSM1_acq-famp_TB1DREAM2sub-MSSM1_UNIT1_crop.nii.gz
File created: sub-MSSM1_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-54-02_register-wrapper_yz7yasaj/warp_dest2src.nii.gz warp_sub-MSSM1_UNIT1_crop2sub-MSSM1_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MSSM1_UNIT1_crop2sub-MSSM1_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-54-02_register-wrapper_yz7yasaj
Finished! Elapsed time: 54s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_205455.900127.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM2_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MSSM2_UNIT1_crop.nii.gz -dseg ../anat/sub-MSSM2_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MSSM2_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MSSM2_UNIT1_crop.nii.gz (62, 74, 228)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-54-58_register-wrapper_w53dhvry)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-54-58_register-wrapper_w53dhvry
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-54-58_register-wrapper_w53dhvry
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-54-58_register-wrapper_w53dhvry
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-54-58_register-wrapper_w53dhvry
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM2_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-54-58_register-wrapper_w53dhvry/warp_src2dest.nii.gz warp_sub-MSSM2_acq-famp_TB1DREAM2sub-MSSM2_UNIT1_crop.nii.gz
File created: warp_sub-MSSM2_acq-famp_TB1DREAM2sub-MSSM2_UNIT1_crop.nii.gz
File created: sub-MSSM2_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-54-58_register-wrapper_w53dhvry/warp_dest2src.nii.gz warp_sub-MSSM2_UNIT1_crop2sub-MSSM2_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MSSM2_UNIT1_crop2sub-MSSM2_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-54-58_register-wrapper_w53dhvry
Finished! Elapsed time: 63s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_205601.078978.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM3_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-MSSM3_UNIT1_crop.nii.gz -dseg ../anat/sub-MSSM3_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MSSM3_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-MSSM3_UNIT1_crop.nii.gz (65, 104, 289)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-56-03_register-wrapper_0rglppzu)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-56-03_register-wrapper_0rglppzu
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-56-03_register-wrapper_0rglppzu
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-56-03_register-wrapper_0rglppzu
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-56-03_register-wrapper_0rglppzu
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM3_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-56-03_register-wrapper_0rglppzu/warp_src2dest.nii.gz warp_sub-MSSM3_acq-famp_TB1DREAM2sub-MSSM3_UNIT1_crop.nii.gz
File created: warp_sub-MSSM3_acq-famp_TB1DREAM2sub-MSSM3_UNIT1_crop.nii.gz
File created: sub-MSSM3_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-56-03_register-wrapper_0rglppzu/warp_dest2src.nii.gz warp_sub-MSSM3_UNIT1_crop2sub-MSSM3_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-MSSM3_UNIT1_crop2sub-MSSM3_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-56-03_register-wrapper_0rglppzu
Finished! Elapsed time: 107s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_205750.265186.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU1_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-NTNU1_UNIT1_crop.nii.gz -dseg ../anat/sub-NTNU1_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-NTNU1_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-NTNU1_UNIT1_crop.nii.gz (65, 65, 296)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-57-53_register-wrapper_u7fcfs3t)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-57-53_register-wrapper_u7fcfs3t
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-57-53_register-wrapper_u7fcfs3t
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-57-53_register-wrapper_u7fcfs3t
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-57-53_register-wrapper_u7fcfs3t
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU1_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-57-53_register-wrapper_u7fcfs3t/warp_src2dest.nii.gz warp_sub-NTNU1_acq-famp_TB1DREAM2sub-NTNU1_UNIT1_crop.nii.gz
File created: warp_sub-NTNU1_acq-famp_TB1DREAM2sub-NTNU1_UNIT1_crop.nii.gz
File created: sub-NTNU1_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-57-53_register-wrapper_u7fcfs3t/warp_dest2src.nii.gz warp_sub-NTNU1_UNIT1_crop2sub-NTNU1_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-NTNU1_UNIT1_crop2sub-NTNU1_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-57-53_register-wrapper_u7fcfs3t
Finished! Elapsed time: 73s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_205905.912843.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU2_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-NTNU2_UNIT1_crop.nii.gz -dseg ../anat/sub-NTNU2_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-NTNU2_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-NTNU2_UNIT1_crop.nii.gz (69, 71, 234)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_20-59-08_register-wrapper_2njh3mbn)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_20-59-08_register-wrapper_2njh3mbn
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_20-59-08_register-wrapper_2njh3mbn
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_20-59-08_register-wrapper_2njh3mbn
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_20-59-08_register-wrapper_2njh3mbn
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU2_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_20-59-08_register-wrapper_2njh3mbn/warp_src2dest.nii.gz warp_sub-NTNU2_acq-famp_TB1DREAM2sub-NTNU2_UNIT1_crop.nii.gz
File created: warp_sub-NTNU2_acq-famp_TB1DREAM2sub-NTNU2_UNIT1_crop.nii.gz
File created: sub-NTNU2_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_20-59-08_register-wrapper_2njh3mbn/warp_dest2src.nii.gz warp_sub-NTNU2_UNIT1_crop2sub-NTNU2_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-NTNU2_UNIT1_crop2sub-NTNU2_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_20-59-08_register-wrapper_2njh3mbn
Finished! Elapsed time: 77s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_210025.242273.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU3_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-NTNU3_UNIT1_crop.nii.gz -dseg ../anat/sub-NTNU3_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-NTNU3_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-NTNU3_UNIT1_crop.nii.gz (60, 103, 322)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-00-27_register-wrapper_q8v346na)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-00-27_register-wrapper_q8v346na
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_21-00-27_register-wrapper_q8v346na
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-00-27_register-wrapper_q8v346na
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-00-27_register-wrapper_q8v346na
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU3_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_21-00-27_register-wrapper_q8v346na/warp_src2dest.nii.gz warp_sub-NTNU3_acq-famp_TB1DREAM2sub-NTNU3_UNIT1_crop.nii.gz
File created: warp_sub-NTNU3_acq-famp_TB1DREAM2sub-NTNU3_UNIT1_crop.nii.gz
File created: sub-NTNU3_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-00-27_register-wrapper_q8v346na/warp_dest2src.nii.gz warp_sub-NTNU3_UNIT1_crop2sub-NTNU3_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-NTNU3_UNIT1_crop2sub-NTNU3_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-00-27_register-wrapper_q8v346na
Finished! Elapsed time: 109s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Converting image from type 'uint8' to type 'float64' for linear interpolation
Find the center of each slice
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_210216.081177.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL1_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-UCL1_UNIT1_crop.nii.gz -dseg ../anat/sub-UCL1_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-UCL1_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-UCL1_UNIT1_crop.nii.gz (67, 105, 333)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-02-19_register-wrapper_cksnyfkq)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-02-19_register-wrapper_cksnyfkq
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_21-02-19_register-wrapper_cksnyfkq
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-02-19_register-wrapper_cksnyfkq
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-02-19_register-wrapper_cksnyfkq
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL1_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_21-02-19_register-wrapper_cksnyfkq/warp_src2dest.nii.gz warp_sub-UCL1_acq-famp_TB1DREAM2sub-UCL1_UNIT1_crop.nii.gz
File created: warp_sub-UCL1_acq-famp_TB1DREAM2sub-UCL1_UNIT1_crop.nii.gz
File created: sub-UCL1_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-02-19_register-wrapper_cksnyfkq/warp_dest2src.nii.gz warp_sub-UCL1_UNIT1_crop2sub-UCL1_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-UCL1_UNIT1_crop2sub-UCL1_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-02-19_register-wrapper_cksnyfkq
Finished! Elapsed time: 120s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_210418.898258.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL2_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-UCL2_UNIT1_crop.nii.gz -dseg ../anat/sub-UCL2_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-UCL2_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-UCL2_UNIT1_crop.nii.gz (75, 110, 287)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-04-22_register-wrapper_qbupylnl)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-04-22_register-wrapper_qbupylnl
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_21-04-22_register-wrapper_qbupylnl
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-04-22_register-wrapper_qbupylnl
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-04-22_register-wrapper_qbupylnl
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL2_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_21-04-22_register-wrapper_qbupylnl/warp_src2dest.nii.gz warp_sub-UCL2_acq-famp_TB1DREAM2sub-UCL2_UNIT1_crop.nii.gz
File created: warp_sub-UCL2_acq-famp_TB1DREAM2sub-UCL2_UNIT1_crop.nii.gz
File created: sub-UCL2_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-04-22_register-wrapper_qbupylnl/warp_dest2src.nii.gz warp_sub-UCL2_UNIT1_crop2sub-UCL2_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-UCL2_UNIT1_crop2sub-UCL2_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-04-22_register-wrapper_qbupylnl
Finished! Elapsed time: 112s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_210614.014616.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL3_acq-famp_TB1DREAM.nii.gz -d ../anat/sub-UCL3_UNIT1_crop.nii.gz -dseg ../anat/sub-UCL3_UNIT1_seg_crop.nii.gz -param step=1,type=im,algo=slicereg,metric=CC,smooth=1 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-UCL3_acq-famp_TB1DREAM.nii.gz (80, 80, 11)
Destination ......... ../anat/sub-UCL3_UNIT1_crop.nii.gz (69, 115, 300)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-06-17_register-wrapper_59eizisb)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-06-17_register-wrapper_59eizisb
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... im
algo ........... slicereg
slicewise ...... 0
metric ......... CC
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 1
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsSliceRegularizedRegistration -t 'Translation[0.5]' -m 'CC[dest_RPI_crop.nii,src_reg_crop.nii,1,4,None,0.2]' -p 5 -i 10 -f 1 -s 1 -v 1 -o '[step1,src_reg_crop_regStep1.nii]' # in /tmp/sct_2024-11-05_21-06-17_register-wrapper_59eizisb
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-06-17_register-wrapper_59eizisb
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-06-17_register-wrapper_59eizisb
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL3_acq-famp_TB1DREAM_reg.nii.gz
mv /tmp/sct_2024-11-05_21-06-17_register-wrapper_59eizisb/warp_src2dest.nii.gz warp_sub-UCL3_acq-famp_TB1DREAM2sub-UCL3_UNIT1_crop.nii.gz
File created: warp_sub-UCL3_acq-famp_TB1DREAM2sub-UCL3_UNIT1_crop.nii.gz
File created: sub-UCL3_UNIT1_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-06-17_register-wrapper_59eizisb/warp_dest2src.nii.gz warp_sub-UCL3_UNIT1_crop2sub-UCL3_acq-famp_TB1DREAM.nii.gz
File created: warp_sub-UCL3_UNIT1_crop2sub-UCL3_acq-famp_TB1DREAM.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-06-17_register-wrapper_59eizisb
Finished! Elapsed time: 134s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_210831.098495.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
Segment spinal cord on SNR data#
# Segment spinal cord on SNR data
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "fmap"))
# Split SNR data into sub-volumes (https://github.com/spinal-cord-7t/coil-qc-code/issues/34)
!sct_image -i {subject}_acq-coilQaSagLarge_SNR.nii.gz -split t -o {subject}_acq-coilQaSagLarge_SNR.nii.gz
# Crop SNR data (https://github.com/spinal-cord-7t/coil-qc-code/issues/128)
!sct_crop_image -i {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz
!sct_crop_image -i {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz -m {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz -o {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz
# Segment spinal cord on SNR data, unless it already exists
fname_manual_seg = os.path.join(path_labels, subject, "fmap", f"{subject}_acq-coilQaSagLarge_SNR_T0000_label-SC_seg.nii.gz")
if os.path.exists(fname_manual_seg):
# Manual segmentation already exists. Copy it to local folder and put it in the same space as the SNR data
print(f"{subject}: Manual segmentation found\n")
!sct_register_multimodal -i {fname_manual_seg} -d {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz -o {subject}_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -identity 1 -x linear
# Generate QC report to make sure the manual segmentation is correct
!sct_qc -i "{subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz" -s "{subject}_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz" -p sct_deepseg_sc -qc {path_qc} -qc-subject {subject}
else:
# Manual segmentation does not exist. Run automatic segmentation.
print(f"{subject}: Manual segmentation not found")
!sct_deepseg -i "{subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz" -task seg_sc_contrast_agnostic -thr 0 -qc {path_qc}
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-CRMBM1_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-CRMBM1_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-CRMBM1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-08-41_sct_deepseg_js1gcvjy)
Copied sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-08-41_sct_deepseg_js1gcvjy/sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-08-41_sct_deepseg_js1gcvjy/sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_210906.530746.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-CRMBM2_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-CRMBM2_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-CRMBM2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-09-17_sct_deepseg_hs7a16qo)
Copied sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-09-17_sct_deepseg_hs7a16qo/sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-09-17_sct_deepseg_hs7a16qo/sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_210942.593975.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-CRMBM3_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-CRMBM3_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-CRMBM3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-09-53_sct_deepseg_dpi7glw2)
Copied sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-09-53_sct_deepseg_dpi7glw2/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_21-09-53_sct_deepseg_dpi7glw2/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211018.287958.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MGH1_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MGH1_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MGH1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-10-29_sct_deepseg_el1gq60d)
Copied sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-10-29_sct_deepseg_el1gq60d/sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_21-10-29_sct_deepseg_el1gq60d/sub-MGH1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211054.086893.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MGH2_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MGH2_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MGH2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-11-05_sct_deepseg_srd5ul54)
Copied sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-11-05_sct_deepseg_srd5ul54/sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_21-11-05_sct_deepseg_srd5ul54/sub-MGH2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211129.706997.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MGH3_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MGH3_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 383], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MGH3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-11-40_sct_deepseg_hcjhb_mc)
Copied sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-11-40_sct_deepseg_hcjhb_mc/sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 23 seconds
Saving results to: /tmp/sct_2024-11-05_21-11-40_sct_deepseg_hcjhb_mc/sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211205.265980.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MNI1_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MNI1_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MNI1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-12-16_sct_deepseg_1ld05o7q)
Copied sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-12-16_sct_deepseg_1ld05o7q/sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-12-16_sct_deepseg_1ld05o7q/sub-MNI1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211240.895609.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MNI2_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MNI2_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MNI2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-12-51_sct_deepseg_skq4y0cz)
Copied sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-12-51_sct_deepseg_skq4y0cz/sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-12-51_sct_deepseg_skq4y0cz/sub-MNI2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211316.976313.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MNI3_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MNI3_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MNI3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-13-28_sct_deepseg__r41ylv3)
Copied sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-13-28_sct_deepseg__r41ylv3/sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-13-28_sct_deepseg__r41ylv3/sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211353.767889.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MPI1_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MPI1_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MPI1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-14-05_sct_deepseg_o4kz5ng9)
Copied sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-14-05_sct_deepseg_o4kz5ng9/sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-14-05_sct_deepseg_o4kz5ng9/sub-MPI1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211430.412998.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MPI2_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MPI2_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[129, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MPI2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-14-42_sct_deepseg_eez0zs60)
Copied sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-14-42_sct_deepseg_eez0zs60/sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-14-42_sct_deepseg_eez0zs60/sub-MPI2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211507.238586.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MPI3_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MPI3_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[129, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MPI3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-15-18_sct_deepseg_d2r9bdvv)
Copied sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-15-18_sct_deepseg_d2r9bdvv/sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-15-18_sct_deepseg_d2r9bdvv/sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211543.683915.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MSSM1_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MSSM1_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[144, 361], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MSSM1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-15-55_sct_deepseg_ns2mpreq)
Copied sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-15-55_sct_deepseg_ns2mpreq/sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-15-55_sct_deepseg_ns2mpreq/sub-MSSM1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211620.078995.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MSSM2_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MSSM2_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[172, 344], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MSSM2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-16-31_sct_deepseg_c58ruqge)
Copied sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-16-31_sct_deepseg_c58ruqge/sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-16-31_sct_deepseg_c58ruqge/sub-MSSM2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211656.101707.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-MSSM3_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MSSM3_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[154, 359], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-MSSM3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-17-07_sct_deepseg_7czbvanh)
Copied sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-17-07_sct_deepseg_7czbvanh/sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-17-07_sct_deepseg_7czbvanh/sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211732.163625.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-NTNU1_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-NTNU1_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-NTNU1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-17-43_sct_deepseg_xg_sd59i)
Copied sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-17-43_sct_deepseg_xg_sd59i/sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-17-43_sct_deepseg_xg_sd59i/sub-NTNU1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211808.389531.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-NTNU2_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-NTNU2_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-NTNU2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-18-20_sct_deepseg_rzgi50xr)
Copied sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-18-20_sct_deepseg_rzgi50xr/sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-18-20_sct_deepseg_rzgi50xr/sub-NTNU2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211845.000516.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-NTNU3_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-NTNU3_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-NTNU3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-18-56_sct_deepseg_wplivl6h)
Copied sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-18-56_sct_deepseg_wplivl6h/sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-18-56_sct_deepseg_wplivl6h/sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211921.511758.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-UCL1_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-UCL1_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-UCL1: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-19-33_sct_deepseg_nj_iih4j)
Copied sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-19-33_sct_deepseg_nj_iih4j/sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-19-33_sct_deepseg_nj_iih4j/sub-UCL1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_211958.324072.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-UCL2_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-UCL2_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-UCL2: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-20-09_sct_deepseg_zhktaoj4)
Copied sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-20-09_sct_deepseg_zhktaoj4/sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-20-09_sct_deepseg_zhktaoj4/sub-UCL2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212034.919691.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_image -i sub-UCL3_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-UCL3_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -xmax 450 -o sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[0, 451], y=[0, 512], z=[0, 13]
Cropping the image...
File sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_crop_image -i sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -m sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -o sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz
--
Bounding box: x=[128, 384], y=[128, 384], z=[0, 13]
Cropping the image...
File sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Will overwrite it.
sub-UCL3: Manual segmentation not found
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_deepseg -i sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -task seg_sc_contrast_agnostic -thr 0 -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Model 'model_seg_sc_contrast_agnostic_softseg_monai' is up to date (Source: https://github.com/sct-pipeline/contrast-agnostic-softseg-spinalcord/releases/download/v2.5/model_contrast-agnostic_20240930-1002.zip)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/deepseg/monai.py:121: FutureWarning: You are using `torch.load` with `weights_only=False` (the current default value), which uses the default pickle module implicitly. It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (See https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models for more details). In a future release, the default value for `weights_only` will be flipped to `True`. This limits the functions that could be executed during unpickling. Arbitrary objects will no longer be allowed to be loaded via this mode unless they are explicitly allowlisted by the user via `torch.serialization.add_safe_globals`. We recommend you start setting `weights_only=True` for any use case where you don't have full control of the loaded file. Please open an issue on GitHub for any issues related to this experimental feature.
checkpoint = torch.load(chkp_path, map_location=torch.device(device))["state_dict"]
Creating temporary folder (/tmp/sct_2024-11-05_21-20-46_sct_deepseg_twtjplqy)
Copied sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz to /tmp/sct_2024-11-05_21-20-46_sct_deepseg_twtjplqy/sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/torch/utils/data/dataloader.py:617: UserWarning: This DataLoader will create 8 worker processes in total. Our suggested max number of worker in current system is 4, which is smaller than what this DataLoader is going to create. Please be aware that excessive worker creation might get DataLoader running slow or even freeze, lower the worker number to avoid potential slowness/freeze if necessary.
warnings.warn(
Starting inference...
Inference done.
Total inference time: 0 minute(s) 24 seconds
Saving results to: /tmp/sct_2024-11-05_21-20-46_sct_deepseg_twtjplqy/sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 vox
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212112.055633.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
Register SNR to MP2RAGE#
# Register Rx coilQA data (SNR, g-factor) to the MP2RAGE scan ⏳
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "fmap"))
!sct_register_multimodal -i {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/{subject}_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg {subject}_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/{subject}_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc "{path_qc}"
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-CRMBM1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 100, 314)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-21-16_register-wrapper_yuwc_bdi)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-21-16_register-wrapper_yuwc_bdi
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-21-18_register-slicewise_cmnc5rfi)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 65 x 100 x 314
voxel size: 0.7065217mm x 0.6999998mm x 314mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/314 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/314 [00:00<01:16, 4.10iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1446: RuntimeWarning: invalid value encountered in divide
coordsrc /= coordsrc.std()
Slice #8 is empty. It will be ignored.
Estimate cord angle for each slice: 39%|████████▍ | 121/314 [00:00<00:00, 444.87iter/s]
Estimate cord angle for each slice: 78%|█████████████████ | 244/314 [00:00<00:00, 715.38iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #270 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #271 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #272 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #273 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #274 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #275 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #276 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #277 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #278 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #279 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #280 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #281 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #282 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #283 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #284 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #285 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #286 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #287 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #288 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #289 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #290 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #291 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #292 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #293 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #294 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #295 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #296 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #297 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #298 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #299 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #300 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #301 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #302 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #303 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #304 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #305 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #306 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #307 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #308 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #309 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #310 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #311 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #312 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #313 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 314/314 [00:00<00:00, 642.16iter/s]
Build 3D deformation field: 0%| | 0/261 [00:00<?, ?iter/s]
Build 3D deformation field: 5%|█▌ | 13/261 [00:00<00:01, 124.24iter/s]
Build 3D deformation field: 10%|███▏ | 27/261 [00:00<00:01, 127.82iter/s]
Build 3D deformation field: 16%|████▊ | 41/261 [00:00<00:01, 129.99iter/s]
Build 3D deformation field: 21%|██████▌ | 55/261 [00:00<00:01, 131.86iter/s]
Build 3D deformation field: 26%|████████▏ | 69/261 [00:00<00:01, 131.90iter/s]
Build 3D deformation field: 32%|█████████▊ | 83/261 [00:00<00:01, 132.25iter/s]
Build 3D deformation field: 37%|███████████▌ | 97/261 [00:00<00:01, 131.98iter/s]
Build 3D deformation field: 43%|████████████▊ | 111/261 [00:00<00:01, 131.69iter/s]
Build 3D deformation field: 48%|██████████████▎ | 125/261 [00:00<00:01, 131.38iter/s]
Build 3D deformation field: 53%|███████████████▉ | 139/261 [00:01<00:00, 130.31iter/s]
Build 3D deformation field: 59%|█████████████████▌ | 153/261 [00:01<00:00, 130.52iter/s]
Build 3D deformation field: 64%|███████████████████▏ | 167/261 [00:01<00:00, 129.29iter/s]
Build 3D deformation field: 69%|████████████████████▊ | 181/261 [00:01<00:00, 130.33iter/s]
Build 3D deformation field: 75%|██████████████████████▍ | 195/261 [00:01<00:00, 131.61iter/s]
Build 3D deformation field: 80%|████████████████████████ | 209/261 [00:01<00:00, 131.47iter/s]
Build 3D deformation field: 85%|█████████████████████████▋ | 223/261 [00:01<00:00, 131.55iter/s]
Build 3D deformation field: 91%|███████████████████████████▏ | 237/261 [00:01<00:00, 132.18iter/s]
Build 3D deformation field: 96%|████████████████████████████▊ | 251/261 [00:01<00:00, 132.01iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 261/261 [00:01<00:00, 131.19iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-21-16_register-wrapper_yuwc_bdi
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-21-16_register-wrapper_yuwc_bdi
rm -rf /tmp/sct_2024-11-05_21-21-18_register-slicewise_cmnc5rfi
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-21-16_register-wrapper_yuwc_bdi
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-21-16_register-wrapper_yuwc_bdi
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-21-16_register-wrapper_yuwc_bdi/warp_src2dest.nii.gz warp_sub-CRMBM1_acq-coilQaSagLarge_SNR_T00002sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-CRMBM1_acq-coilQaSagLarge_SNR_T00002sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-21-16_register-wrapper_yuwc_bdi/warp_dest2src.nii.gz warp_sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-21-16_register-wrapper_yuwc_bdi
Finished! Elapsed time: 9s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212125.359095.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-CRMBM2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 90, 226)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-21-28_register-wrapper_qk3p3df0)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-21-28_register-wrapper_qk3p3df0
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-21-30_register-slicewise_h2o0o81h)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 65 x 90 x 226
voxel size: 0.7065217mm x 0.6999998mm x 226mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/226 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/226 [00:00<00:54, 4.14iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
Estimate cord angle for each slice: 54%|███████████▉ | 122/226 [00:00<00:00, 452.47iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #218 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #219 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #220 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #221 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #222 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #223 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #224 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #225 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 226/226 [00:00<00:00, 532.98iter/s]
Build 3D deformation field: 0%| | 0/214 [00:00<?, ?iter/s]
Build 3D deformation field: 7%|██ | 14/214 [00:00<00:01, 136.23iter/s]
Build 3D deformation field: 14%|████▏ | 29/214 [00:00<00:01, 140.50iter/s]
Build 3D deformation field: 21%|██████▎ | 44/214 [00:00<00:01, 142.09iter/s]
Build 3D deformation field: 28%|████████▌ | 59/214 [00:00<00:01, 140.39iter/s]
Build 3D deformation field: 35%|██████████▋ | 74/214 [00:00<00:00, 141.57iter/s]
Build 3D deformation field: 42%|████████████▉ | 89/214 [00:00<00:00, 142.34iter/s]
Build 3D deformation field: 49%|██████████████▌ | 104/214 [00:00<00:00, 143.12iter/s]
Build 3D deformation field: 56%|████████████████▋ | 119/214 [00:00<00:00, 143.56iter/s]
Build 3D deformation field: 63%|██████████████████▊ | 134/214 [00:00<00:00, 143.85iter/s]
Build 3D deformation field: 70%|████████████████████▉ | 149/214 [00:01<00:00, 143.79iter/s]
Build 3D deformation field: 77%|██████████████████████▉ | 164/214 [00:01<00:00, 143.67iter/s]
Build 3D deformation field: 84%|█████████████████████████ | 179/214 [00:01<00:00, 143.63iter/s]
Build 3D deformation field: 91%|███████████████████████████▏ | 194/214 [00:01<00:00, 143.52iter/s]
Build 3D deformation field: 98%|█████████████████████████████▎| 209/214 [00:01<00:00, 143.62iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 214/214 [00:01<00:00, 142.86iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-21-28_register-wrapper_qk3p3df0
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-21-28_register-wrapper_qk3p3df0
rm -rf /tmp/sct_2024-11-05_21-21-30_register-slicewise_h2o0o81h
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-21-28_register-wrapper_qk3p3df0
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-21-28_register-wrapper_qk3p3df0
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-21-28_register-wrapper_qk3p3df0/warp_src2dest.nii.gz warp_sub-CRMBM2_acq-coilQaSagLarge_SNR_T00002sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-CRMBM2_acq-coilQaSagLarge_SNR_T00002sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-21-28_register-wrapper_qk3p3df0/warp_dest2src.nii.gz warp_sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-21-28_register-wrapper_qk3p3df0
Finished! Elapsed time: 7s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212135.011073.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-CRMBM3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop.nii.gz (69, 121, 337)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-21-37_register-wrapper_5422_45k)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-21-37_register-wrapper_5422_45k
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-21-40_register-slicewise_qauwz0l_)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 69 x 121 x 337
voxel size: 0.7065217mm x 0.6999998mm x 337mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/337 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/337 [00:00<01:16, 4.37iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #24 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #25 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #26 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #27 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #28 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #29 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #30 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #31 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #32 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #33 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #34 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #35 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #36 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #37 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #38 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #39 is empty. It will be ignored.
Estimate cord angle for each slice: 32%|███████ | 109/337 [00:00<00:00, 417.45iter/s]
Estimate cord angle for each slice: 68%|██████████████▉ | 229/337 [00:00<00:00, 693.68iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #303 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #304 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #305 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #306 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #307 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #308 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #309 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #310 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #311 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #312 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #313 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #314 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #315 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #316 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #317 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #318 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #319 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #320 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #321 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #322 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #323 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #324 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #325 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #326 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #327 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #328 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #329 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #330 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #331 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #332 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #333 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #334 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #335 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #336 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 337/337 [00:00<00:00, 660.16iter/s]
Build 3D deformation field: 0%| | 0/263 [00:00<?, ?iter/s]
Build 3D deformation field: 3%|█▏ | 9/263 [00:00<00:02, 88.99iter/s]
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Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-21-37_register-wrapper_5422_45k
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-21-37_register-wrapper_5422_45k
rm -rf /tmp/sct_2024-11-05_21-21-40_register-slicewise_qauwz0l_
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-21-37_register-wrapper_5422_45k
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-21-37_register-wrapper_5422_45k
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-21-37_register-wrapper_5422_45k/warp_src2dest.nii.gz warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-21-37_register-wrapper_5422_45k/warp_dest2src.nii.gz warp_sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-21-37_register-wrapper_5422_45k
Finished! Elapsed time: 12s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212149.339867.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MGH1_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MGH1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MGH1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-MGH1_inv-1_part-mag_MP2RAGE_crop.nii.gz (62, 118, 226)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-21-52_register-wrapper_8sv8pkk8)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-21-52_register-wrapper_8sv8pkk8
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-21-54_register-slicewise_hilj_ds3)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 62 x 118 x 226
voxel size: 1.0mm x 1.0mm x 226mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/226 [00:00<?, ?iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/226 [00:00<00:53, 4.24iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #24 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #25 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #26 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #27 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #28 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #29 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #30 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #31 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #32 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #33 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #34 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #35 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #36 is empty. It will be ignored.
Estimate cord angle for each slice: 57%|████████████▌ | 129/226 [00:00<00:00, 484.66iter/s]
Estimate cord angle for each slice: 100%|██████████████████████| 226/226 [00:00<00:00, 543.35iter/s]
Build 3D deformation field: 0%| | 0/189 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▊ | 11/189 [00:00<00:01, 108.43iter/s]
Build 3D deformation field: 12%|███▊ | 23/189 [00:00<00:01, 113.67iter/s]
Build 3D deformation field: 19%|█████▋ | 35/189 [00:00<00:01, 115.54iter/s]
Build 3D deformation field: 25%|███████▋ | 47/189 [00:00<00:01, 115.86iter/s]
Build 3D deformation field: 31%|█████████▋ | 59/189 [00:00<00:01, 116.09iter/s]
Build 3D deformation field: 38%|███████████▋ | 71/189 [00:00<00:01, 116.26iter/s]
Build 3D deformation field: 44%|█████████████▌ | 83/189 [00:00<00:00, 116.17iter/s]
Build 3D deformation field: 50%|███████████████▌ | 95/189 [00:00<00:00, 116.21iter/s]
Build 3D deformation field: 57%|████████████████▉ | 107/189 [00:00<00:00, 116.23iter/s]
Build 3D deformation field: 63%|██████████████████▉ | 119/189 [00:01<00:00, 116.30iter/s]
Build 3D deformation field: 69%|████████████████████▊ | 131/189 [00:01<00:00, 116.24iter/s]
Build 3D deformation field: 76%|██████████████████████▋ | 143/189 [00:01<00:00, 116.54iter/s]
Build 3D deformation field: 82%|████████████████████████▌ | 155/189 [00:01<00:00, 116.94iter/s]
Build 3D deformation field: 88%|██████████████████████████▌ | 167/189 [00:01<00:00, 117.03iter/s]
Build 3D deformation field: 95%|████████████████████████████▍ | 179/189 [00:01<00:00, 117.00iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 189/189 [00:01<00:00, 116.23iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-21-52_register-wrapper_8sv8pkk8
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-21-52_register-wrapper_8sv8pkk8
rm -rf /tmp/sct_2024-11-05_21-21-54_register-slicewise_hilj_ds3
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-21-52_register-wrapper_8sv8pkk8
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-21-52_register-wrapper_8sv8pkk8
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH1_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-21-52_register-wrapper_8sv8pkk8/warp_src2dest.nii.gz warp_sub-MGH1_acq-coilQaSagLarge_SNR_T00002sub-MGH1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MGH1_acq-coilQaSagLarge_SNR_T00002sub-MGH1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MGH1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MGH1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-21-52_register-wrapper_8sv8pkk8/warp_dest2src.nii.gz warp_sub-MGH1_inv-1_part-mag_MP2RAGE_crop2sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MGH1_inv-1_part-mag_MP2RAGE_crop2sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-21-52_register-wrapper_8sv8pkk8
Finished! Elapsed time: 7s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212159.775409.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MGH2_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MGH2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MGH2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-MGH2_inv-1_part-mag_MP2RAGE_crop.nii.gz (59, 117, 223)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-22-03_register-wrapper_l9t2oq5d)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-22-03_register-wrapper_l9t2oq5d
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-22-04_register-slicewise_9etf96zc)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 59 x 117 x 223
voxel size: 1.0mm x 1.0mm x 223mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/223 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/223 [00:00<00:52, 4.22iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
Estimate cord angle for each slice: 56%|████████████▏ | 124/223 [00:00<00:00, 465.16iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #211 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #212 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #213 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #214 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #215 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #216 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #217 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #218 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #219 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #220 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #221 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #222 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 223/223 [00:00<00:00, 539.02iter/s]
Build 3D deformation field: 0%| | 0/208 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▊ | 12/208 [00:00<00:01, 117.00iter/s]
Build 3D deformation field: 12%|███▋ | 25/208 [00:00<00:01, 120.63iter/s]
Build 3D deformation field: 18%|█████▋ | 38/208 [00:00<00:01, 121.70iter/s]
Build 3D deformation field: 25%|███████▌ | 51/208 [00:00<00:01, 121.89iter/s]
Build 3D deformation field: 31%|█████████▌ | 64/208 [00:00<00:01, 122.45iter/s]
Build 3D deformation field: 37%|███████████▍ | 77/208 [00:00<00:01, 122.23iter/s]
Build 3D deformation field: 43%|█████████████▍ | 90/208 [00:00<00:00, 122.50iter/s]
Build 3D deformation field: 50%|██████████████▊ | 103/208 [00:00<00:00, 122.61iter/s]
Build 3D deformation field: 56%|████████████████▋ | 116/208 [00:00<00:00, 122.59iter/s]
Build 3D deformation field: 62%|██████████████████▌ | 129/208 [00:01<00:00, 123.43iter/s]
Build 3D deformation field: 68%|████████████████████▍ | 142/208 [00:01<00:00, 123.58iter/s]
Build 3D deformation field: 75%|██████████████████████▎ | 155/208 [00:01<00:00, 123.42iter/s]
Build 3D deformation field: 81%|████████████████████████▏ | 168/208 [00:01<00:00, 122.74iter/s]
Build 3D deformation field: 87%|██████████████████████████ | 181/208 [00:01<00:00, 122.67iter/s]
Build 3D deformation field: 93%|███████████████████████████▉ | 194/208 [00:01<00:00, 122.21iter/s]
Build 3D deformation field: 100%|█████████████████████████████▊| 207/208 [00:01<00:00, 121.85iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 208/208 [00:01<00:00, 122.31iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-22-03_register-wrapper_l9t2oq5d
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-22-03_register-wrapper_l9t2oq5d
rm -rf /tmp/sct_2024-11-05_21-22-04_register-slicewise_9etf96zc
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-22-03_register-wrapper_l9t2oq5d
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-22-03_register-wrapper_l9t2oq5d
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH2_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-03_register-wrapper_l9t2oq5d/warp_src2dest.nii.gz warp_sub-MGH2_acq-coilQaSagLarge_SNR_T00002sub-MGH2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MGH2_acq-coilQaSagLarge_SNR_T00002sub-MGH2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MGH2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MGH2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-03_register-wrapper_l9t2oq5d/warp_dest2src.nii.gz warp_sub-MGH2_inv-1_part-mag_MP2RAGE_crop2sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MGH2_inv-1_part-mag_MP2RAGE_crop2sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-22-03_register-wrapper_l9t2oq5d
Finished! Elapsed time: 7s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212210.653992.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MGH3_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MGH3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz (255, 256, 13)
Destination ......... ../anat/sub-MGH3_inv-1_part-mag_MP2RAGE_crop.nii.gz (63, 127, 238)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-22-14_register-wrapper_980zeiyl)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-22-14_register-wrapper_980zeiyl
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-22-15_register-slicewise_kfxqtqn8)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 63 x 127 x 238
voxel size: 1.0mm x 1.0mm x 238mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/238 [00:00<?, ?iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/238 [00:00<00:56, 4.22iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
Estimate cord angle for each slice: 48%|██████████▋ | 115/238 [00:00<00:00, 430.86iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #180 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #181 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #200 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #201 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #202 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #203 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #204 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #205 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #206 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #230 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #231 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #232 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #233 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #234 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #235 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #236 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #237 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 238/238 [00:00<00:00, 544.90iter/s]
Build 3D deformation field: 0%| | 0/200 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▋ | 11/200 [00:00<00:01, 103.63iter/s]
Build 3D deformation field: 11%|███▍ | 22/200 [00:00<00:01, 105.82iter/s]
Build 3D deformation field: 16%|█████ | 33/200 [00:00<00:01, 106.42iter/s]
Build 3D deformation field: 22%|██████▊ | 44/200 [00:00<00:01, 107.33iter/s]
Build 3D deformation field: 28%|████████▌ | 55/200 [00:00<00:01, 107.65iter/s]
Build 3D deformation field: 33%|██████████▏ | 66/200 [00:00<00:01, 107.24iter/s]
Build 3D deformation field: 38%|███████████▉ | 77/200 [00:00<00:01, 106.99iter/s]
Build 3D deformation field: 44%|█████████████▋ | 88/200 [00:00<00:01, 106.37iter/s]
Build 3D deformation field: 50%|███████████████▎ | 99/200 [00:00<00:00, 106.56iter/s]
Build 3D deformation field: 55%|████████████████▌ | 110/200 [00:01<00:00, 106.99iter/s]
Build 3D deformation field: 60%|██████████████████▏ | 121/200 [00:01<00:00, 107.40iter/s]
Build 3D deformation field: 66%|███████████████████▊ | 132/200 [00:01<00:00, 106.88iter/s]
Build 3D deformation field: 72%|█████████████████████▍ | 143/200 [00:01<00:00, 107.26iter/s]
Build 3D deformation field: 77%|███████████████████████ | 154/200 [00:01<00:00, 107.75iter/s]
Build 3D deformation field: 82%|████████████████████████▊ | 165/200 [00:01<00:00, 107.87iter/s]
Build 3D deformation field: 88%|██████████████████████████▍ | 176/200 [00:01<00:00, 108.14iter/s]
Build 3D deformation field: 94%|████████████████████████████ | 187/200 [00:01<00:00, 107.65iter/s]
Build 3D deformation field: 99%|█████████████████████████████▋| 198/200 [00:01<00:00, 107.47iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 200/200 [00:01<00:00, 107.17iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-22-14_register-wrapper_980zeiyl
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-22-14_register-wrapper_980zeiyl
rm -rf /tmp/sct_2024-11-05_21-22-15_register-slicewise_kfxqtqn8
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-22-14_register-wrapper_980zeiyl
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-22-14_register-wrapper_980zeiyl
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-14_register-wrapper_980zeiyl/warp_src2dest.nii.gz warp_sub-MGH3_acq-coilQaSagLarge_SNR_T00002sub-MGH3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MGH3_acq-coilQaSagLarge_SNR_T00002sub-MGH3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MGH3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MGH3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-14_register-wrapper_980zeiyl/warp_dest2src.nii.gz warp_sub-MGH3_inv-1_part-mag_MP2RAGE_crop2sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MGH3_inv-1_part-mag_MP2RAGE_crop2sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-22-14_register-wrapper_980zeiyl
Finished! Elapsed time: 8s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212221.729130.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MNI1_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MNI1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MNI1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-MNI1_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 77, 367)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-22-25_register-wrapper_ufr40hyy)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-22-25_register-wrapper_ufr40hyy
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-22-27_register-slicewise_ycc5b65a)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 65 x 77 x 367
voxel size: 0.7065217mm x 0.7000043mm x 367mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/367 [00:00<?, ?iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/367 [00:00<01:25, 4.27iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
Estimate cord angle for each slice: 36%|███████▉ | 133/367 [00:00<00:00, 501.14iter/s]
Estimate cord angle for each slice: 70%|███████████████▍ | 257/367 [00:00<00:00, 759.41iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #341 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #342 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #343 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #344 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #345 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #346 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #347 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #348 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #349 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #350 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #351 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #352 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #353 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #354 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #355 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #356 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #357 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #358 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #359 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #360 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #361 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #362 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #363 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #364 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #365 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #366 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 367/367 [00:00<00:00, 712.76iter/s]
Build 3D deformation field: 0%| | 0/320 [00:00<?, ?iter/s]
Build 3D deformation field: 5%|█▋ | 17/320 [00:00<00:01, 165.43iter/s]
Build 3D deformation field: 11%|███▎ | 34/320 [00:00<00:01, 167.23iter/s]
Build 3D deformation field: 16%|████▉ | 51/320 [00:00<00:01, 167.32iter/s]
Build 3D deformation field: 21%|██████▌ | 68/320 [00:00<00:01, 166.75iter/s]
Build 3D deformation field: 27%|████████▏ | 85/320 [00:00<00:01, 167.31iter/s]
Build 3D deformation field: 32%|█████████▌ | 102/320 [00:00<00:01, 167.82iter/s]
Build 3D deformation field: 38%|███████████▎ | 120/320 [00:00<00:01, 168.63iter/s]
Build 3D deformation field: 43%|████████████▊ | 137/320 [00:00<00:01, 168.60iter/s]
Build 3D deformation field: 48%|██████████████▍ | 154/320 [00:00<00:00, 168.92iter/s]
Build 3D deformation field: 53%|████████████████ | 171/320 [00:01<00:00, 169.19iter/s]
Build 3D deformation field: 59%|█████████████████▋ | 188/320 [00:01<00:00, 169.31iter/s]
Build 3D deformation field: 64%|███████████████████▎ | 206/320 [00:01<00:00, 169.81iter/s]
Build 3D deformation field: 70%|████████████████████▉ | 223/320 [00:01<00:00, 169.65iter/s]
Build 3D deformation field: 75%|██████████████████████▌ | 240/320 [00:01<00:00, 169.28iter/s]
Build 3D deformation field: 80%|████████████████████████ | 257/320 [00:01<00:00, 169.21iter/s]
Build 3D deformation field: 86%|█████████████████████████▋ | 274/320 [00:01<00:00, 169.38iter/s]
Build 3D deformation field: 91%|███████████████████████████▎ | 291/320 [00:01<00:00, 169.41iter/s]
Build 3D deformation field: 97%|████████████████████████████▉ | 309/320 [00:01<00:00, 170.78iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 320/320 [00:01<00:00, 169.20iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-22-25_register-wrapper_ufr40hyy
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-22-25_register-wrapper_ufr40hyy
rm -rf /tmp/sct_2024-11-05_21-22-27_register-slicewise_ycc5b65a
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-22-25_register-wrapper_ufr40hyy
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-22-25_register-wrapper_ufr40hyy
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI1_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-25_register-wrapper_ufr40hyy/warp_src2dest.nii.gz warp_sub-MNI1_acq-coilQaSagLarge_SNR_T00002sub-MNI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MNI1_acq-coilQaSagLarge_SNR_T00002sub-MNI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MNI1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MNI1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-25_register-wrapper_ufr40hyy/warp_dest2src.nii.gz warp_sub-MNI1_inv-1_part-mag_MP2RAGE_crop2sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MNI1_inv-1_part-mag_MP2RAGE_crop2sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-22-25_register-wrapper_ufr40hyy
Finished! Elapsed time: 9s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212233.928016.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MNI2_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MNI2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MNI2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-MNI2_inv-1_part-mag_MP2RAGE_crop.nii.gz (63, 75, 361)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-22-37_register-wrapper_8tor81rp)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-22-37_register-wrapper_8tor81rp
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-22-38_register-slicewise_kviv5pfp)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 63 x 75 x 361
voxel size: 0.7065217mm x 0.7000043mm x 361mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/361 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/361 [00:00<01:22, 4.35iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
Estimate cord angle for each slice: 35%|███████▋ | 126/361 [00:00<00:00, 481.26iter/s]
Estimate cord angle for each slice: 70%|███████████████▎ | 251/361 [00:00<00:00, 752.37iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #330 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #331 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #332 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #333 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #334 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #335 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #336 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #337 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #338 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #339 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #340 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #341 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #342 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #343 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #344 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #345 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #346 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #347 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #348 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #349 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #350 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #351 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #352 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #353 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #354 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #355 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #356 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #357 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #358 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #359 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #360 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 361/361 [00:00<00:00, 709.06iter/s]
Build 3D deformation field: 0%| | 0/327 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▋ | 18/327 [00:00<00:01, 171.45iter/s]
Build 3D deformation field: 11%|███▌ | 37/327 [00:00<00:01, 177.16iter/s]
Build 3D deformation field: 17%|█████▎ | 56/327 [00:00<00:01, 179.67iter/s]
Build 3D deformation field: 23%|███████ | 75/327 [00:00<00:01, 182.24iter/s]
Build 3D deformation field: 29%|████████▉ | 94/327 [00:00<00:01, 182.41iter/s]
Build 3D deformation field: 35%|██████████▎ | 113/327 [00:00<00:01, 181.80iter/s]
Build 3D deformation field: 40%|████████████ | 132/327 [00:00<00:01, 181.76iter/s]
Build 3D deformation field: 46%|█████████████▊ | 151/327 [00:00<00:00, 181.17iter/s]
Build 3D deformation field: 52%|███████████████▌ | 170/327 [00:00<00:00, 180.53iter/s]
Build 3D deformation field: 58%|█████████████████▎ | 189/327 [00:01<00:00, 180.64iter/s]
Build 3D deformation field: 64%|███████████████████ | 208/327 [00:01<00:00, 180.54iter/s]
Build 3D deformation field: 69%|████████████████████▊ | 227/327 [00:01<00:00, 180.65iter/s]
Build 3D deformation field: 75%|██████████████████████▌ | 246/327 [00:01<00:00, 180.55iter/s]
Build 3D deformation field: 81%|████████████████████████▎ | 265/327 [00:01<00:00, 180.09iter/s]
Build 3D deformation field: 87%|██████████████████████████ | 284/327 [00:01<00:00, 179.55iter/s]
Build 3D deformation field: 92%|███████████████████████████▋ | 302/327 [00:01<00:00, 179.35iter/s]
Build 3D deformation field: 98%|█████████████████████████████▍| 321/327 [00:01<00:00, 180.05iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 327/327 [00:01<00:00, 180.34iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-22-37_register-wrapper_8tor81rp
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-22-37_register-wrapper_8tor81rp
rm -rf /tmp/sct_2024-11-05_21-22-38_register-slicewise_kviv5pfp
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-22-37_register-wrapper_8tor81rp
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-22-37_register-wrapper_8tor81rp
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI2_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-37_register-wrapper_8tor81rp/warp_src2dest.nii.gz warp_sub-MNI2_acq-coilQaSagLarge_SNR_T00002sub-MNI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MNI2_acq-coilQaSagLarge_SNR_T00002sub-MNI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MNI2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MNI2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-37_register-wrapper_8tor81rp/warp_dest2src.nii.gz warp_sub-MNI2_inv-1_part-mag_MP2RAGE_crop2sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MNI2_inv-1_part-mag_MP2RAGE_crop2sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-22-37_register-wrapper_8tor81rp
Finished! Elapsed time: 8s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212245.180576.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MNI3_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MNI3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-MNI3_inv-1_part-mag_MP2RAGE_crop.nii.gz (69, 102, 260)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-22-48_register-wrapper_hf61ffz7)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-22-48_register-wrapper_hf61ffz7
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-22-50_register-slicewise_axg2231o)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 69 x 102 x 260
voxel size: 0.7065217mm x 0.6999958mm x 260mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/260 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/260 [00:00<00:59, 4.32iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
Estimate cord angle for each slice: 46%|██████████ | 119/260 [00:00<00:00, 452.89iter/s]
Estimate cord angle for each slice: 93%|████████████████████▍ | 242/260 [00:00<00:00, 726.95iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #257 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #258 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #259 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 260/260 [00:00<00:00, 580.88iter/s]
Build 3D deformation field: 0%| | 0/252 [00:00<?, ?iter/s]
Build 3D deformation field: 5%|█▍ | 12/252 [00:00<00:02, 113.37iter/s]
Build 3D deformation field: 10%|███ | 25/252 [00:00<00:01, 121.08iter/s]
Build 3D deformation field: 15%|████▋ | 38/252 [00:00<00:01, 123.85iter/s]
Build 3D deformation field: 20%|██████▎ | 51/252 [00:00<00:01, 123.69iter/s]
Build 3D deformation field: 25%|███████▊ | 64/252 [00:00<00:01, 123.38iter/s]
Build 3D deformation field: 31%|█████████▍ | 77/252 [00:00<00:01, 121.46iter/s]
Build 3D deformation field: 36%|███████████ | 90/252 [00:00<00:01, 121.67iter/s]
Build 3D deformation field: 41%|████████████▎ | 103/252 [00:00<00:01, 122.37iter/s]
Build 3D deformation field: 46%|█████████████▊ | 116/252 [00:00<00:01, 122.49iter/s]
Build 3D deformation field: 51%|███████████████▎ | 129/252 [00:01<00:01, 122.53iter/s]
Build 3D deformation field: 56%|████████████████▉ | 142/252 [00:01<00:00, 122.48iter/s]
Build 3D deformation field: 62%|██████████████████▍ | 155/252 [00:01<00:00, 122.57iter/s]
Build 3D deformation field: 67%|████████████████████ | 168/252 [00:01<00:00, 122.42iter/s]
Build 3D deformation field: 72%|█████████████████████▌ | 181/252 [00:01<00:00, 122.84iter/s]
Build 3D deformation field: 77%|███████████████████████ | 194/252 [00:01<00:00, 123.15iter/s]
Build 3D deformation field: 82%|████████████████████████▋ | 207/252 [00:01<00:00, 122.72iter/s]
Build 3D deformation field: 87%|██████████████████████████▏ | 220/252 [00:01<00:00, 123.64iter/s]
Build 3D deformation field: 92%|███████████████████████████▋ | 233/252 [00:01<00:00, 123.35iter/s]
Build 3D deformation field: 98%|█████████████████████████████▎| 246/252 [00:02<00:00, 122.70iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 252/252 [00:02<00:00, 122.49iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-22-48_register-wrapper_hf61ffz7
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-22-48_register-wrapper_hf61ffz7
rm -rf /tmp/sct_2024-11-05_21-22-50_register-slicewise_axg2231o
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-22-48_register-wrapper_hf61ffz7
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-22-48_register-wrapper_hf61ffz7
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-48_register-wrapper_hf61ffz7/warp_src2dest.nii.gz warp_sub-MNI3_acq-coilQaSagLarge_SNR_T00002sub-MNI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MNI3_acq-coilQaSagLarge_SNR_T00002sub-MNI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MNI3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MNI3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-48_register-wrapper_hf61ffz7/warp_dest2src.nii.gz warp_sub-MNI3_inv-1_part-mag_MP2RAGE_crop2sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MNI3_inv-1_part-mag_MP2RAGE_crop2sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-22-48_register-wrapper_hf61ffz7
Finished! Elapsed time: 8s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212256.329012.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MPI1_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MPI1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MPI1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-MPI1_inv-1_part-mag_MP2RAGE_crop.nii.gz (68, 89, 266)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-22-59_register-wrapper_2gl0l59q)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-22-59_register-wrapper_2gl0l59q
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-23-00_register-slicewise_ep29bhe7)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 68 x 89 x 266
voxel size: 0.7065217mm x 0.7000045mm x 266mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/266 [00:00<?, ?iter/s]
Estimate cord angle for each slice: 0%| | 1/266 [00:00<01:00, 4.39iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #40 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #41 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #42 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #43 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #44 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #45 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #46 is empty. It will be ignored.
Estimate cord angle for each slice: 44%|█████████▊ | 118/266 [00:00<00:00, 452.56iter/s]
Estimate cord angle for each slice: 91%|████████████████████ | 242/266 [00:00<00:00, 730.38iter/s]
Estimate cord angle for each slice: 100%|██████████████████████| 266/266 [00:00<00:00, 591.78iter/s]
Build 3D deformation field: 0%| | 0/248 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▊ | 14/248 [00:00<00:01, 130.76iter/s]
Build 3D deformation field: 12%|███▋ | 29/248 [00:00<00:01, 137.19iter/s]
Build 3D deformation field: 18%|█████▌ | 44/248 [00:00<00:01, 139.36iter/s]
Build 3D deformation field: 24%|███████▍ | 59/248 [00:00<00:01, 140.18iter/s]
Build 3D deformation field: 30%|█████████▎ | 74/248 [00:00<00:01, 140.26iter/s]
Build 3D deformation field: 36%|███████████▏ | 89/248 [00:00<00:01, 140.11iter/s]
Build 3D deformation field: 42%|████████████▌ | 104/248 [00:00<00:01, 140.56iter/s]
Build 3D deformation field: 48%|██████████████▍ | 119/248 [00:00<00:00, 140.60iter/s]
Build 3D deformation field: 54%|████████████████▏ | 134/248 [00:00<00:00, 139.18iter/s]
Build 3D deformation field: 60%|██████████████████ | 149/248 [00:01<00:00, 140.51iter/s]
Build 3D deformation field: 66%|███████████████████▊ | 164/248 [00:01<00:00, 140.50iter/s]
Build 3D deformation field: 72%|█████████████████████▋ | 179/248 [00:01<00:00, 141.45iter/s]
Build 3D deformation field: 78%|███████████████████████▍ | 194/248 [00:01<00:00, 141.42iter/s]
Build 3D deformation field: 84%|█████████████████████████▎ | 209/248 [00:01<00:00, 141.28iter/s]
Build 3D deformation field: 90%|███████████████████████████ | 224/248 [00:01<00:00, 141.82iter/s]
Build 3D deformation field: 96%|████████████████████████████▉ | 239/248 [00:01<00:00, 141.98iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 248/248 [00:01<00:00, 140.71iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-22-59_register-wrapper_2gl0l59q
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-22-59_register-wrapper_2gl0l59q
rm -rf /tmp/sct_2024-11-05_21-23-00_register-slicewise_ep29bhe7
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-22-59_register-wrapper_2gl0l59q
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-22-59_register-wrapper_2gl0l59q
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI1_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-59_register-wrapper_2gl0l59q/warp_src2dest.nii.gz warp_sub-MPI1_acq-coilQaSagLarge_SNR_T00002sub-MPI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MPI1_acq-coilQaSagLarge_SNR_T00002sub-MPI1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MPI1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MPI1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-22-59_register-wrapper_2gl0l59q/warp_dest2src.nii.gz warp_sub-MPI1_inv-1_part-mag_MP2RAGE_crop2sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MPI1_inv-1_part-mag_MP2RAGE_crop2sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-22-59_register-wrapper_2gl0l59q
Finished! Elapsed time: 7s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Converting image from type 'uint8' to type 'float64' for linear interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212306.559592.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MPI2_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MPI2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MPI2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz (255, 256, 13)
Destination ......... ../anat/sub-MPI2_inv-1_part-mag_MP2RAGE_crop.nii.gz (61, 89, 276)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-23-09_register-wrapper_ps_ump35)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-23-09_register-wrapper_ps_ump35
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-23-10_register-slicewise_1pqb6isn)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 61 x 89 x 276
voxel size: 0.7065217mm x 0.6999956mm x 276mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/276 [00:00<?, ?iter/s]
Estimate cord angle for each slice: 0%| | 1/276 [00:00<01:02, 4.37iter/s]
Estimate cord angle for each slice: 45%|█████████▉ | 125/276 [00:00<00:00, 478.60iter/s]
Estimate cord angle for each slice: 92%|████████████████████▏ | 253/276 [00:00<00:00, 760.86iter/s]
Estimate cord angle for each slice: 100%|██████████████████████| 276/276 [00:00<00:00, 615.64iter/s]
Build 3D deformation field: 0%| | 0/276 [00:00<?, ?iter/s]
Build 3D deformation field: 5%|█▋ | 15/276 [00:00<00:01, 146.97iter/s]
Build 3D deformation field: 11%|███▍ | 31/276 [00:00<00:01, 152.87iter/s]
Build 3D deformation field: 17%|█████▎ | 47/276 [00:00<00:01, 154.93iter/s]
Build 3D deformation field: 23%|███████ | 63/276 [00:00<00:01, 156.80iter/s]
Build 3D deformation field: 29%|████████▊ | 79/276 [00:00<00:01, 157.37iter/s]
Build 3D deformation field: 35%|██████████▊ | 96/276 [00:00<00:01, 158.69iter/s]
Build 3D deformation field: 41%|████████████▎ | 113/276 [00:00<00:01, 159.70iter/s]
Build 3D deformation field: 47%|██████████████▏ | 130/276 [00:00<00:00, 160.46iter/s]
Build 3D deformation field: 53%|███████████████▉ | 147/276 [00:00<00:00, 160.68iter/s]
Build 3D deformation field: 59%|█████████████████▊ | 164/276 [00:01<00:00, 160.28iter/s]
Build 3D deformation field: 66%|███████████████████▋ | 181/276 [00:01<00:00, 157.73iter/s]
Build 3D deformation field: 71%|█████████████████████▍ | 197/276 [00:01<00:00, 157.58iter/s]
Build 3D deformation field: 77%|███████████████████████▏ | 213/276 [00:01<00:00, 157.43iter/s]
Build 3D deformation field: 83%|████████████████████████▉ | 229/276 [00:01<00:00, 157.14iter/s]
Build 3D deformation field: 89%|██████████████████████████▋ | 245/276 [00:01<00:00, 157.18iter/s]
Build 3D deformation field: 95%|████████████████████████████▎ | 261/276 [00:01<00:00, 157.38iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 276/276 [00:01<00:00, 157.81iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-23-09_register-wrapper_ps_ump35
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-23-09_register-wrapper_ps_ump35
rm -rf /tmp/sct_2024-11-05_21-23-10_register-slicewise_1pqb6isn
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-23-09_register-wrapper_ps_ump35
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-23-09_register-wrapper_ps_ump35
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI2_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-09_register-wrapper_ps_ump35/warp_src2dest.nii.gz warp_sub-MPI2_acq-coilQaSagLarge_SNR_T00002sub-MPI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MPI2_acq-coilQaSagLarge_SNR_T00002sub-MPI2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MPI2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MPI2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-09_register-wrapper_ps_ump35/warp_dest2src.nii.gz warp_sub-MPI2_inv-1_part-mag_MP2RAGE_crop2sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MPI2_inv-1_part-mag_MP2RAGE_crop2sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-23-09_register-wrapper_ps_ump35
Finished! Elapsed time: 7s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Converting image from type 'uint8' to type 'float64' for linear interpolation
Find the center of each slice
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212316.465285.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MPI3_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MPI3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz (255, 256, 13)
Destination ......... ../anat/sub-MPI3_inv-1_part-mag_MP2RAGE_crop.nii.gz (68, 117, 282)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-23-19_register-wrapper_mr_8w6_1)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-23-19_register-wrapper_mr_8w6_1
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-23-21_register-slicewise_im13crg0)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 68 x 117 x 282
voxel size: 0.7065217mm x 0.7mm x 282mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/282 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/282 [00:00<01:03, 4.43iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
Estimate cord angle for each slice: 42%|█████████▎ | 119/282 [00:00<00:00, 459.02iter/s]
Estimate cord angle for each slice: 86%|██████████████████▉ | 242/282 [00:00<00:00, 731.45iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #279 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #280 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #281 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 282/282 [00:00<00:00, 612.12iter/s]
Build 3D deformation field: 0%| | 0/263 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▏ | 10/263 [00:00<00:02, 98.58iter/s]
Build 3D deformation field: 8%|██▍ | 21/263 [00:00<00:02, 104.26iter/s]
Build 3D deformation field: 12%|███▊ | 32/263 [00:00<00:02, 105.61iter/s]
Build 3D deformation field: 16%|█████ | 43/263 [00:00<00:02, 106.37iter/s]
Build 3D deformation field: 21%|██████▎ | 54/263 [00:00<00:01, 105.99iter/s]
Build 3D deformation field: 25%|███████▋ | 65/263 [00:00<00:01, 105.79iter/s]
Build 3D deformation field: 29%|████████▉ | 76/263 [00:00<00:01, 106.07iter/s]
Build 3D deformation field: 33%|██████████▎ | 87/263 [00:00<00:01, 105.88iter/s]
Build 3D deformation field: 37%|███████████▌ | 98/263 [00:00<00:01, 105.81iter/s]
Build 3D deformation field: 41%|████████████▍ | 109/263 [00:01<00:01, 105.65iter/s]
Build 3D deformation field: 46%|█████████████▋ | 120/263 [00:01<00:01, 105.41iter/s]
Build 3D deformation field: 50%|██████████████▉ | 131/263 [00:01<00:01, 105.51iter/s]
Build 3D deformation field: 54%|████████████████▏ | 142/263 [00:01<00:01, 105.96iter/s]
Build 3D deformation field: 58%|█████████████████▍ | 153/263 [00:01<00:01, 105.99iter/s]
Build 3D deformation field: 62%|██████████████████▋ | 164/263 [00:01<00:00, 105.90iter/s]
Build 3D deformation field: 67%|███████████████████▉ | 175/263 [00:01<00:00, 105.89iter/s]
Build 3D deformation field: 71%|█████████████████████▏ | 186/263 [00:01<00:00, 106.89iter/s]
Build 3D deformation field: 75%|██████████████████████▍ | 197/263 [00:01<00:00, 106.54iter/s]
Build 3D deformation field: 79%|███████████████████████▋ | 208/263 [00:01<00:00, 106.13iter/s]
Build 3D deformation field: 83%|████████████████████████▉ | 219/263 [00:02<00:00, 106.02iter/s]
Build 3D deformation field: 87%|██████████████████████████▏ | 230/263 [00:02<00:00, 105.72iter/s]
Build 3D deformation field: 92%|███████████████████████████▍ | 241/263 [00:02<00:00, 104.99iter/s]
Build 3D deformation field: 96%|████████████████████████████▋ | 252/263 [00:02<00:00, 105.18iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 263/263 [00:02<00:00, 105.21iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 263/263 [00:02<00:00, 105.64iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-23-19_register-wrapper_mr_8w6_1
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-23-19_register-wrapper_mr_8w6_1
rm -rf /tmp/sct_2024-11-05_21-23-21_register-slicewise_im13crg0
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-23-19_register-wrapper_mr_8w6_1
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-23-19_register-wrapper_mr_8w6_1
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-19_register-wrapper_mr_8w6_1/warp_src2dest.nii.gz warp_sub-MPI3_acq-coilQaSagLarge_SNR_T00002sub-MPI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MPI3_acq-coilQaSagLarge_SNR_T00002sub-MPI3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MPI3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MPI3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-19_register-wrapper_mr_8w6_1/warp_dest2src.nii.gz warp_sub-MPI3_inv-1_part-mag_MP2RAGE_crop2sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MPI3_inv-1_part-mag_MP2RAGE_crop2sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-23-19_register-wrapper_mr_8w6_1
Finished! Elapsed time: 10s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212328.797510.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MSSM1_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MSSM1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MSSM1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz (217, 256, 13)
Destination ......... ../anat/sub-MSSM1_inv-1_part-mag_MP2RAGE_crop.nii.gz (68, 72, 238)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-23-31_register-wrapper_qwqfhu62)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-23-31_register-wrapper_qwqfhu62
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-23-33_register-slicewise_zf4u2ey5)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 68 x 72 x 238
voxel size: 0.7065217mm x 0.7000028mm x 238mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/238 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/238 [00:00<00:53, 4.46iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
Estimate cord angle for each slice: 53%|███████████▋ | 126/238 [00:00<00:00, 488.29iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #233 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #234 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #235 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #236 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #237 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 238/238 [00:00<00:00, 575.28iter/s]
Build 3D deformation field: 0%| | 0/220 [00:00<?, ?iter/s]
Build 3D deformation field: 8%|██▍ | 17/220 [00:00<00:01, 167.16iter/s]
Build 3D deformation field: 16%|████▉ | 35/220 [00:00<00:01, 171.85iter/s]
Build 3D deformation field: 24%|███████▍ | 53/220 [00:00<00:00, 173.14iter/s]
Build 3D deformation field: 32%|██████████ | 71/220 [00:00<00:00, 174.14iter/s]
Build 3D deformation field: 40%|████████████▌ | 89/220 [00:00<00:00, 175.86iter/s]
Build 3D deformation field: 49%|██████████████▌ | 107/220 [00:00<00:00, 175.66iter/s]
Build 3D deformation field: 57%|█████████████████ | 125/220 [00:00<00:00, 176.76iter/s]
Build 3D deformation field: 65%|███████████████████▌ | 143/220 [00:00<00:00, 176.00iter/s]
Build 3D deformation field: 73%|█████████████████████▉ | 161/220 [00:00<00:00, 176.46iter/s]
Build 3D deformation field: 81%|████████████████████████▍ | 179/220 [00:01<00:00, 176.69iter/s]
Build 3D deformation field: 90%|██████████████████████████▊ | 197/220 [00:01<00:00, 176.31iter/s]
Build 3D deformation field: 98%|█████████████████████████████▎| 215/220 [00:01<00:00, 176.71iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 220/220 [00:01<00:00, 175.69iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-23-31_register-wrapper_qwqfhu62
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-23-31_register-wrapper_qwqfhu62
rm -rf /tmp/sct_2024-11-05_21-23-33_register-slicewise_zf4u2ey5
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-23-31_register-wrapper_qwqfhu62
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-23-31_register-wrapper_qwqfhu62
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM1_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-31_register-wrapper_qwqfhu62/warp_src2dest.nii.gz warp_sub-MSSM1_acq-coilQaSagLarge_SNR_T00002sub-MSSM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MSSM1_acq-coilQaSagLarge_SNR_T00002sub-MSSM1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MSSM1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MSSM1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-31_register-wrapper_qwqfhu62/warp_dest2src.nii.gz warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-23-31_register-wrapper_qwqfhu62
Finished! Elapsed time: 6s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212337.916576.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MSSM2_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MSSM2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MSSM2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz (172, 256, 13)
Destination ......... ../anat/sub-MSSM2_inv-1_part-mag_MP2RAGE_crop.nii.gz (62, 74, 228)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-23-40_register-wrapper_b5w0lwrp)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-23-40_register-wrapper_b5w0lwrp
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-23-41_register-slicewise_zg9smqzi)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 62 x 74 x 228
voxel size: 0.7065217mm x 0.7000019mm x 228mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/228 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/228 [00:00<00:52, 4.31iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
Estimate cord angle for each slice: 55%|████████████ | 125/228 [00:00<00:00, 474.50iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #218 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #219 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #220 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #221 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #222 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #223 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #224 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #225 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #226 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #227 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 228/228 [00:00<00:00, 553.77iter/s]
Build 3D deformation field: 0%| | 0/213 [00:00<?, ?iter/s]
Build 3D deformation field: 9%|██▊ | 19/213 [00:00<00:01, 181.34iter/s]
Build 3D deformation field: 18%|█████▌ | 38/213 [00:00<00:00, 183.93iter/s]
Build 3D deformation field: 27%|████████▎ | 57/213 [00:00<00:00, 185.41iter/s]
Build 3D deformation field: 36%|███████████ | 76/213 [00:00<00:00, 186.06iter/s]
Build 3D deformation field: 45%|█████████████▊ | 95/213 [00:00<00:00, 186.39iter/s]
Build 3D deformation field: 54%|████████████████ | 114/213 [00:00<00:00, 186.69iter/s]
Build 3D deformation field: 62%|██████████████████▋ | 133/213 [00:00<00:00, 186.07iter/s]
Build 3D deformation field: 71%|█████████████████████▍ | 152/213 [00:00<00:00, 186.25iter/s]
Build 3D deformation field: 80%|████████████████████████ | 171/213 [00:00<00:00, 184.68iter/s]
Build 3D deformation field: 89%|██████████████████████████▊ | 190/213 [00:01<00:00, 185.79iter/s]
Build 3D deformation field: 98%|█████████████████████████████▍| 209/213 [00:01<00:00, 186.26iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 213/213 [00:01<00:00, 185.74iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-23-40_register-wrapper_b5w0lwrp
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-23-40_register-wrapper_b5w0lwrp
rm -rf /tmp/sct_2024-11-05_21-23-41_register-slicewise_zg9smqzi
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-23-40_register-wrapper_b5w0lwrp
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-23-40_register-wrapper_b5w0lwrp
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM2_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-40_register-wrapper_b5w0lwrp/warp_src2dest.nii.gz warp_sub-MSSM2_acq-coilQaSagLarge_SNR_T00002sub-MSSM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MSSM2_acq-coilQaSagLarge_SNR_T00002sub-MSSM2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MSSM2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MSSM2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-40_register-wrapper_b5w0lwrp/warp_dest2src.nii.gz warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-23-40_register-wrapper_b5w0lwrp
Finished! Elapsed time: 5s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212345.622881.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-MSSM3_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-MSSM3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz (205, 256, 13)
Destination ......... ../anat/sub-MSSM3_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 104, 289)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-23-48_register-wrapper_12nn0ppx)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-23-48_register-wrapper_12nn0ppx
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-23-50_register-slicewise_cq6mihwe)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 65 x 104 x 289
voxel size: 0.7065217mm x 0.7000019mm x 289mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/289 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/289 [00:00<01:05, 4.42iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
Estimate cord angle for each slice: 40%|████████▉ | 117/289 [00:00<00:00, 450.81iter/s]
Estimate cord angle for each slice: 83%|██████████████████▎ | 240/289 [00:00<00:00, 726.98iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #242 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #243 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #244 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #245 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #246 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #247 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #248 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #249 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #250 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #251 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #252 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #253 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #254 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #255 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #256 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #257 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #258 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #259 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #260 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #261 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #262 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #263 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #264 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #265 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #266 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #267 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #268 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #269 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #270 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #271 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #272 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #273 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #274 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #275 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #276 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #277 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #278 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #279 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #280 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #281 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #282 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #283 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #284 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #285 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #286 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #287 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #288 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 289/289 [00:00<00:00, 636.65iter/s]
Build 3D deformation field: 0%| | 0/218 [00:00<?, ?iter/s]
Build 3D deformation field: 6%|█▊ | 13/218 [00:00<00:01, 122.57iter/s]
Build 3D deformation field: 12%|███▋ | 26/218 [00:00<00:01, 125.58iter/s]
Build 3D deformation field: 18%|█████▌ | 39/218 [00:00<00:01, 126.35iter/s]
Build 3D deformation field: 24%|███████▍ | 52/218 [00:00<00:01, 126.95iter/s]
Build 3D deformation field: 30%|█████████▏ | 65/218 [00:00<00:01, 127.21iter/s]
Build 3D deformation field: 36%|███████████ | 78/218 [00:00<00:01, 126.79iter/s]
Build 3D deformation field: 42%|████████████▉ | 91/218 [00:00<00:01, 126.55iter/s]
Build 3D deformation field: 48%|██████████████▎ | 104/218 [00:00<00:00, 126.16iter/s]
Build 3D deformation field: 54%|████████████████ | 117/218 [00:00<00:00, 126.01iter/s]
Build 3D deformation field: 60%|█████████████████▉ | 130/218 [00:01<00:00, 126.75iter/s]
Build 3D deformation field: 66%|███████████████████▋ | 143/218 [00:01<00:00, 126.60iter/s]
Build 3D deformation field: 72%|█████████████████████▍ | 156/218 [00:01<00:00, 126.82iter/s]
Build 3D deformation field: 78%|███████████████████████▎ | 169/218 [00:01<00:00, 126.49iter/s]
Build 3D deformation field: 84%|█████████████████████████▏ | 183/218 [00:01<00:00, 127.41iter/s]
Build 3D deformation field: 90%|██████████████████████████▉ | 196/218 [00:01<00:00, 127.42iter/s]
Build 3D deformation field: 96%|████████████████████████████▊ | 209/218 [00:01<00:00, 127.47iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 218/218 [00:01<00:00, 126.85iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-23-48_register-wrapper_12nn0ppx
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-23-48_register-wrapper_12nn0ppx
rm -rf /tmp/sct_2024-11-05_21-23-50_register-slicewise_cq6mihwe
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-23-48_register-wrapper_12nn0ppx
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-23-48_register-wrapper_12nn0ppx
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-48_register-wrapper_12nn0ppx/warp_src2dest.nii.gz warp_sub-MSSM3_acq-coilQaSagLarge_SNR_T00002sub-MSSM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-MSSM3_acq-coilQaSagLarge_SNR_T00002sub-MSSM3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-MSSM3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-MSSM3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-48_register-wrapper_12nn0ppx/warp_dest2src.nii.gz warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-23-48_register-wrapper_12nn0ppx
Finished! Elapsed time: 8s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212356.139145.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-NTNU1_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-NTNU1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-NTNU1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-NTNU1_inv-1_part-mag_MP2RAGE_crop.nii.gz (65, 65, 296)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-23-59_register-wrapper_wflm1lw7)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-23-59_register-wrapper_wflm1lw7
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-24-00_register-slicewise_pb_wex1e)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 65 x 65 x 296
voxel size: 0.7065217mm x 0.6999944mm x 296mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/296 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/296 [00:00<01:08, 4.28iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #24 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #25 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #26 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #27 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #28 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #29 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #30 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #31 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #32 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #33 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #34 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #35 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #36 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #37 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #38 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #39 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #40 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #41 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #42 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #43 is empty. It will be ignored.
Estimate cord angle for each slice: 39%|████████▌ | 115/296 [00:00<00:00, 434.52iter/s]
Estimate cord angle for each slice: 82%|█████████████████▉ | 242/296 [00:00<00:00, 726.72iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #282 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #283 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #284 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #285 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #286 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #287 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #288 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #289 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #290 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #291 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #292 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #293 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #294 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #295 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 296/296 [00:00<00:00, 624.61iter/s]
Build 3D deformation field: 0%| | 0/238 [00:00<?, ?iter/s]
Build 3D deformation field: 8%|██▎ | 18/238 [00:00<00:01, 178.47iter/s]
Build 3D deformation field: 15%|████▋ | 36/238 [00:00<00:01, 177.16iter/s]
Build 3D deformation field: 24%|███████▎ | 56/238 [00:00<00:00, 184.71iter/s]
Build 3D deformation field: 32%|█████████▉ | 76/238 [00:00<00:00, 187.79iter/s]
Build 3D deformation field: 40%|████████████▌ | 96/238 [00:00<00:00, 190.39iter/s]
Build 3D deformation field: 49%|██████████████▌ | 116/238 [00:00<00:00, 191.37iter/s]
Build 3D deformation field: 57%|█████████████████▏ | 136/238 [00:00<00:00, 192.45iter/s]
Build 3D deformation field: 66%|███████████████████▋ | 156/238 [00:00<00:00, 192.90iter/s]
Build 3D deformation field: 74%|██████████████████████▏ | 176/238 [00:00<00:00, 193.86iter/s]
Build 3D deformation field: 82%|████████████████████████▋ | 196/238 [00:01<00:00, 193.80iter/s]
Build 3D deformation field: 91%|███████████████████████████▏ | 216/238 [00:01<00:00, 194.48iter/s]
Build 3D deformation field: 99%|█████████████████████████████▋| 236/238 [00:01<00:00, 193.68iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 238/238 [00:01<00:00, 191.25iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-23-59_register-wrapper_wflm1lw7
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-23-59_register-wrapper_wflm1lw7
rm -rf /tmp/sct_2024-11-05_21-24-00_register-slicewise_pb_wex1e
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-23-59_register-wrapper_wflm1lw7
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-23-59_register-wrapper_wflm1lw7
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU1_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-59_register-wrapper_wflm1lw7/warp_src2dest.nii.gz warp_sub-NTNU1_acq-coilQaSagLarge_SNR_T00002sub-NTNU1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-NTNU1_acq-coilQaSagLarge_SNR_T00002sub-NTNU1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-NTNU1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-NTNU1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-23-59_register-wrapper_wflm1lw7/warp_dest2src.nii.gz warp_sub-NTNU1_inv-1_part-mag_MP2RAGE_crop2sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-NTNU1_inv-1_part-mag_MP2RAGE_crop2sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-23-59_register-wrapper_wflm1lw7
Finished! Elapsed time: 6s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212405.370669.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-NTNU2_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-NTNU2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-NTNU2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-NTNU2_inv-1_part-mag_MP2RAGE_crop.nii.gz (69, 71, 234)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-24-08_register-wrapper_pjvvxxmk)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-24-08_register-wrapper_pjvvxxmk
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-24-09_register-slicewise_ibzgnkq2)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 69 x 71 x 234
voxel size: 0.7065217mm x 0.6999992mm x 234mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/234 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/234 [00:00<00:54, 4.30iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
Estimate cord angle for each slice: 53%|███████████▊ | 125/234 [00:00<00:00, 473.73iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #216 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #217 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #218 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #219 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #220 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #221 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #222 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #223 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #224 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #225 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #226 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #227 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #228 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #229 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #230 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #231 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #232 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #233 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 234/234 [00:00<00:00, 562.97iter/s]
Build 3D deformation field: 0%| | 0/211 [00:00<?, ?iter/s]
Build 3D deformation field: 8%|██▍ | 17/211 [00:00<00:01, 163.39iter/s]
Build 3D deformation field: 17%|█████▏ | 35/211 [00:00<00:01, 171.64iter/s]
Build 3D deformation field: 25%|███████▊ | 53/211 [00:00<00:00, 174.04iter/s]
Build 3D deformation field: 34%|██████████▍ | 71/211 [00:00<00:00, 173.83iter/s]
Build 3D deformation field: 42%|█████████████ | 89/211 [00:00<00:00, 173.34iter/s]
Build 3D deformation field: 51%|███████████████▏ | 107/211 [00:00<00:00, 173.36iter/s]
Build 3D deformation field: 59%|█████████████████▊ | 125/211 [00:00<00:00, 173.50iter/s]
Build 3D deformation field: 68%|████████████████████▎ | 143/211 [00:00<00:00, 173.62iter/s]
Build 3D deformation field: 76%|██████████████████████▉ | 161/211 [00:00<00:00, 173.46iter/s]
Build 3D deformation field: 85%|█████████████████████████▍ | 179/211 [00:01<00:00, 173.04iter/s]
Build 3D deformation field: 93%|████████████████████████████ | 197/211 [00:01<00:00, 173.79iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 211/211 [00:01<00:00, 173.31iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-24-08_register-wrapper_pjvvxxmk
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-24-08_register-wrapper_pjvvxxmk
rm -rf /tmp/sct_2024-11-05_21-24-09_register-slicewise_ibzgnkq2
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-24-08_register-wrapper_pjvvxxmk
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-24-08_register-wrapper_pjvvxxmk
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU2_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-08_register-wrapper_pjvvxxmk/warp_src2dest.nii.gz warp_sub-NTNU2_acq-coilQaSagLarge_SNR_T00002sub-NTNU2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-NTNU2_acq-coilQaSagLarge_SNR_T00002sub-NTNU2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-NTNU2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-NTNU2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-08_register-wrapper_pjvvxxmk/warp_dest2src.nii.gz warp_sub-NTNU2_inv-1_part-mag_MP2RAGE_crop2sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-NTNU2_inv-1_part-mag_MP2RAGE_crop2sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-24-08_register-wrapper_pjvvxxmk
Finished! Elapsed time: 6s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212413.716128.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-NTNU3_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-NTNU3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-NTNU3_inv-1_part-mag_MP2RAGE_crop.nii.gz (60, 103, 322)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-24-16_register-wrapper_vyd_u08i)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-24-16_register-wrapper_vyd_u08i
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-24-18_register-slicewise_u5xq38qa)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 60 x 103 x 322
voxel size: 0.7065217mm x 0.6999952mm x 322mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/322 [00:00<?, ?iter/s]
Estimate cord angle for each slice: 0%| | 1/322 [00:00<01:13, 4.35iter/s]
Estimate cord angle for each slice: 39%|████████▌ | 126/322 [00:00<00:00, 481.13iter/s]
Estimate cord angle for each slice: 79%|█████████████████▎ | 253/322 [00:00<00:00, 758.05iter/s]
Estimate cord angle for each slice: 100%|██████████████████████| 322/322 [00:00<00:00, 663.03iter/s]
Build 3D deformation field: 0%| | 0/322 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▎ | 13/322 [00:00<00:02, 128.56iter/s]
Build 3D deformation field: 8%|██▌ | 27/322 [00:00<00:02, 134.87iter/s]
Build 3D deformation field: 13%|███▉ | 41/322 [00:00<00:02, 136.87iter/s]
Build 3D deformation field: 17%|█████▍ | 56/322 [00:00<00:01, 138.74iter/s]
Build 3D deformation field: 22%|██████▋ | 70/322 [00:00<00:01, 138.65iter/s]
Build 3D deformation field: 26%|████████ | 84/322 [00:00<00:01, 138.91iter/s]
Build 3D deformation field: 30%|█████████▍ | 98/322 [00:00<00:01, 138.58iter/s]
Build 3D deformation field: 35%|██████████▍ | 112/322 [00:00<00:01, 138.16iter/s]
Build 3D deformation field: 39%|███████████▋ | 126/322 [00:00<00:01, 137.50iter/s]
Build 3D deformation field: 44%|█████████████▏ | 141/322 [00:01<00:01, 138.32iter/s]
Build 3D deformation field: 48%|██████████████▌ | 156/322 [00:01<00:01, 139.11iter/s]
Build 3D deformation field: 53%|███████████████▉ | 171/322 [00:01<00:01, 139.40iter/s]
Build 3D deformation field: 57%|█████████████████▏ | 185/322 [00:01<00:00, 139.42iter/s]
Build 3D deformation field: 62%|██████████████████▋ | 200/322 [00:01<00:00, 139.60iter/s]
Build 3D deformation field: 66%|███████████████████▉ | 214/322 [00:01<00:00, 139.14iter/s]
Build 3D deformation field: 71%|█████████████████████▏ | 228/322 [00:01<00:00, 139.14iter/s]
Build 3D deformation field: 75%|██████████████████████▌ | 242/322 [00:01<00:00, 139.22iter/s]
Build 3D deformation field: 80%|███████████████████████▊ | 256/322 [00:01<00:00, 138.74iter/s]
Build 3D deformation field: 84%|█████████████████████████▏ | 270/322 [00:01<00:00, 136.74iter/s]
Build 3D deformation field: 89%|██████████████████████████▌ | 285/322 [00:02<00:00, 137.76iter/s]
Build 3D deformation field: 93%|███████████████████████████▊ | 299/322 [00:02<00:00, 138.16iter/s]
Build 3D deformation field: 98%|█████████████████████████████▎| 314/322 [00:02<00:00, 138.92iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 322/322 [00:02<00:00, 138.47iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-24-16_register-wrapper_vyd_u08i
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-24-16_register-wrapper_vyd_u08i
rm -rf /tmp/sct_2024-11-05_21-24-18_register-slicewise_u5xq38qa
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-24-16_register-wrapper_vyd_u08i
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-24-16_register-wrapper_vyd_u08i
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-16_register-wrapper_vyd_u08i/warp_src2dest.nii.gz warp_sub-NTNU3_acq-coilQaSagLarge_SNR_T00002sub-NTNU3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-NTNU3_acq-coilQaSagLarge_SNR_T00002sub-NTNU3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-NTNU3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-NTNU3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-16_register-wrapper_vyd_u08i/warp_dest2src.nii.gz warp_sub-NTNU3_inv-1_part-mag_MP2RAGE_crop2sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-NTNU3_inv-1_part-mag_MP2RAGE_crop2sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-24-16_register-wrapper_vyd_u08i
Finished! Elapsed time: 9s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Converting image from type 'uint8' to type 'float64' for linear interpolation
Find the center of each slice
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212425.453032.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-UCL1_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-UCL1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-UCL1_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-UCL1_inv-1_part-mag_MP2RAGE_crop.nii.gz (67, 105, 333)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-24-28_register-wrapper_j_x0lcsu)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-24-28_register-wrapper_j_x0lcsu
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-24-31_register-slicewise_jmo11n84)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 67 x 105 x 333
voxel size: 0.7065217mm x 0.7mm x 333mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/333 [00:00<?, ?iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/333 [00:00<01:17, 4.26iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #6 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #7 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #8 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #9 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #10 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #11 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #12 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #13 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #14 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #15 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #16 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #17 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #18 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #19 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #20 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #21 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #22 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #23 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #24 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #25 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #26 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #27 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #28 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #29 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #30 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #31 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #32 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #33 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #34 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #35 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #36 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #37 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #38 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #39 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #40 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #41 is empty. It will be ignored.
Estimate cord angle for each slice: 41%|█████████ | 137/333 [00:00<00:00, 516.18iter/s]
Estimate cord angle for each slice: 78%|█████████████████ | 259/333 [00:00<00:00, 761.49iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #324 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #325 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #326 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #327 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #328 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #329 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #330 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #331 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #332 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 333/333 [00:00<00:00, 674.31iter/s]
Build 3D deformation field: 0%| | 0/282 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▏ | 11/282 [00:00<00:02, 109.89iter/s]
Build 3D deformation field: 9%|██▋ | 24/282 [00:00<00:02, 116.66iter/s]
Build 3D deformation field: 13%|████ | 37/282 [00:00<00:02, 119.06iter/s]
Build 3D deformation field: 18%|█████▍ | 50/282 [00:00<00:01, 120.07iter/s]
Build 3D deformation field: 22%|██████▉ | 63/282 [00:00<00:01, 120.80iter/s]
Build 3D deformation field: 27%|████████▎ | 76/282 [00:00<00:01, 121.81iter/s]
Build 3D deformation field: 32%|█████████▊ | 89/282 [00:00<00:01, 121.48iter/s]
Build 3D deformation field: 36%|██████████▊ | 102/282 [00:00<00:01, 121.12iter/s]
Build 3D deformation field: 41%|████████████▏ | 115/282 [00:00<00:01, 121.30iter/s]
Build 3D deformation field: 45%|█████████████▌ | 128/282 [00:01<00:01, 121.47iter/s]
Build 3D deformation field: 50%|███████████████ | 141/282 [00:01<00:01, 122.00iter/s]
Build 3D deformation field: 55%|████████████████▍ | 154/282 [00:01<00:01, 122.27iter/s]
Build 3D deformation field: 59%|█████████████████▊ | 167/282 [00:01<00:00, 121.87iter/s]
Build 3D deformation field: 64%|███████████████████▏ | 180/282 [00:01<00:00, 121.90iter/s]
Build 3D deformation field: 68%|████████████████████▌ | 193/282 [00:01<00:00, 121.79iter/s]
Build 3D deformation field: 73%|█████████████████████▉ | 206/282 [00:01<00:00, 121.94iter/s]
Build 3D deformation field: 78%|███████████████████████▎ | 219/282 [00:01<00:00, 121.59iter/s]
Build 3D deformation field: 82%|████████████████████████▋ | 232/282 [00:01<00:00, 121.27iter/s]
Build 3D deformation field: 87%|██████████████████████████ | 245/282 [00:02<00:00, 120.71iter/s]
Build 3D deformation field: 91%|███████████████████████████▍ | 258/282 [00:02<00:00, 120.47iter/s]
Build 3D deformation field: 96%|████████████████████████████▊ | 271/282 [00:02<00:00, 121.25iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 282/282 [00:02<00:00, 121.01iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-24-28_register-wrapper_j_x0lcsu
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-24-28_register-wrapper_j_x0lcsu
rm -rf /tmp/sct_2024-11-05_21-24-31_register-slicewise_jmo11n84
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-24-28_register-wrapper_j_x0lcsu
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-24-28_register-wrapper_j_x0lcsu
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL1_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-28_register-wrapper_j_x0lcsu/warp_src2dest.nii.gz warp_sub-UCL1_acq-coilQaSagLarge_SNR_T00002sub-UCL1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-UCL1_acq-coilQaSagLarge_SNR_T00002sub-UCL1_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-UCL1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-UCL1_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-28_register-wrapper_j_x0lcsu/warp_dest2src.nii.gz warp_sub-UCL1_inv-1_part-mag_MP2RAGE_crop2sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-UCL1_inv-1_part-mag_MP2RAGE_crop2sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-24-28_register-wrapper_j_x0lcsu
Finished! Elapsed time: 10s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212438.639440.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-UCL2_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-UCL2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-UCL2_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-UCL2_inv-1_part-mag_MP2RAGE_crop.nii.gz (75, 110, 287)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-24-41_register-wrapper_bx0267hn)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-24-41_register-wrapper_bx0267hn
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-24-44_register-slicewise_0zjoy2vh)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 75 x 110 x 287
voxel size: 0.7065217mm x 0.7000031mm x 287mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/287 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/287 [00:00<01:02, 4.56iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
Estimate cord angle for each slice: 43%|█████████▍ | 123/287 [00:00<00:00, 483.42iter/s]
Estimate cord angle for each slice: 85%|██████████████████▊ | 245/287 [00:00<00:00, 748.29iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #258 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #259 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #260 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #261 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #262 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #263 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #264 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #265 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #266 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #267 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #268 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #269 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #270 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #271 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #272 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #273 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #274 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #275 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #276 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #277 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #278 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #279 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #280 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #281 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #282 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #283 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #284 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #285 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #286 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 287/287 [00:00<00:00, 646.27iter/s]
Build 3D deformation field: 0%| | 0/255 [00:00<?, ?iter/s]
Build 3D deformation field: 4%|█▎ | 10/255 [00:00<00:02, 96.63iter/s]
Build 3D deformation field: 8%|██▌ | 21/255 [00:00<00:02, 101.68iter/s]
Build 3D deformation field: 13%|███▉ | 32/255 [00:00<00:02, 103.79iter/s]
Build 3D deformation field: 17%|█████▏ | 43/255 [00:00<00:02, 104.60iter/s]
Build 3D deformation field: 21%|██████▌ | 54/255 [00:00<00:01, 104.91iter/s]
Build 3D deformation field: 25%|███████▉ | 65/255 [00:00<00:01, 105.15iter/s]
Build 3D deformation field: 30%|█████████▏ | 76/255 [00:00<00:01, 105.19iter/s]
Build 3D deformation field: 34%|██████████▌ | 87/255 [00:00<00:01, 105.14iter/s]
Build 3D deformation field: 38%|███████████▉ | 98/255 [00:00<00:01, 105.25iter/s]
Build 3D deformation field: 43%|████████████▊ | 109/255 [00:01<00:01, 105.13iter/s]
Build 3D deformation field: 47%|██████████████ | 120/255 [00:01<00:01, 105.72iter/s]
Build 3D deformation field: 51%|███████████████▍ | 131/255 [00:01<00:01, 104.91iter/s]
Build 3D deformation field: 56%|████████████████▋ | 142/255 [00:01<00:01, 104.66iter/s]
Build 3D deformation field: 60%|██████████████████ | 153/255 [00:01<00:00, 104.65iter/s]
Build 3D deformation field: 64%|███████████████████▎ | 164/255 [00:01<00:00, 104.76iter/s]
Build 3D deformation field: 69%|████████████████████▌ | 175/255 [00:01<00:00, 105.25iter/s]
Build 3D deformation field: 73%|█████████████████████▉ | 186/255 [00:01<00:00, 105.07iter/s]
Build 3D deformation field: 77%|███████████████████████▏ | 197/255 [00:01<00:00, 105.19iter/s]
Build 3D deformation field: 82%|████████████████████████▍ | 208/255 [00:01<00:00, 105.26iter/s]
Build 3D deformation field: 86%|█████████████████████████▊ | 219/255 [00:02<00:00, 105.40iter/s]
Build 3D deformation field: 90%|███████████████████████████ | 230/255 [00:02<00:00, 105.49iter/s]
Build 3D deformation field: 95%|████████████████████████████▎ | 241/255 [00:02<00:00, 105.69iter/s]
Build 3D deformation field: 99%|█████████████████████████████▋| 252/255 [00:02<00:00, 106.02iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 255/255 [00:02<00:00, 105.03iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-24-41_register-wrapper_bx0267hn
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-24-41_register-wrapper_bx0267hn
rm -rf /tmp/sct_2024-11-05_21-24-44_register-slicewise_0zjoy2vh
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-24-41_register-wrapper_bx0267hn
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-24-41_register-wrapper_bx0267hn
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL2_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-41_register-wrapper_bx0267hn/warp_src2dest.nii.gz warp_sub-UCL2_acq-coilQaSagLarge_SNR_T00002sub-UCL2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-UCL2_acq-coilQaSagLarge_SNR_T00002sub-UCL2_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-UCL2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-UCL2_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-41_register-wrapper_bx0267hn/warp_dest2src.nii.gz warp_sub-UCL2_inv-1_part-mag_MP2RAGE_crop2sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-UCL2_inv-1_part-mag_MP2RAGE_crop2sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-24-41_register-wrapper_bx0267hn
Finished! Elapsed time: 10s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212451.596643.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -d ../anat/sub-UCL3_inv-1_part-mag_MP2RAGE_crop.nii.gz -iseg sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dseg ../anat/sub-UCL3_UNIT1_seg_crop.nii.gz -param step=1,type=seg,algo=centermass -qc /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc
--
Input parameters:
Source .............. sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../anat/sub-UCL3_inv-1_part-mag_MP2RAGE_crop.nii.gz (69, 115, 300)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-24-54_register-wrapper_0v30w27j)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... im
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MI[dest_RPI.nii,src.nii,1,32]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step0,src_regStep0.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-24-54_register-wrapper_0v30w27j
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... centermass
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 10
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Creating temporary folder (/tmp/sct_2024-11-05_21-24-57_register-slicewise_f6qsk5ut)
Copy input data to temp folder...
Get image dimensions of destination image...
matrix size: 69 x 115 x 300
voxel size: 0.7065217mm x 0.7mm x 300mm
Split input segmentation...
Split destination segmentation...
Estimate cord angle for each slice: 0%| | 0/300 [00:00<?, ?iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #0 is empty. It will be ignored.
Estimate cord angle for each slice: 0%| | 1/300 [00:00<01:11, 4.18iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #1 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #2 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #3 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #4 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #5 is empty. It will be ignored.
Estimate cord angle for each slice: 39%|████████▋ | 118/300 [00:00<00:00, 439.20iter/s]
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #180 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #181 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #182 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #183 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #216 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #217 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #218 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #219 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #220 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #221 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #222 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #223 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #224 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #225 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #226 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #227 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #228 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #229 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #230 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #231 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #232 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #233 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #234 is empty. It will be ignored.
Estimate cord angle for each slice: 82%|██████████████████ | 246/300 [00:00<00:00, 730.51iter/s]/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #252 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #253 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #254 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #255 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #256 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #257 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #258 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #259 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #260 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #261 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #262 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #263 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #264 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #265 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #266 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #267 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #268 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #269 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #270 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #271 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #272 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #273 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #274 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #275 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #276 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #277 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #278 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #279 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #280 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #281 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #282 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #283 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #284 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #285 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #286 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #287 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #288 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #289 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #290 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #291 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #292 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #293 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #294 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #295 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #296 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #297 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #298 is empty. It will be ignored.
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/spinalcordtoolbox/registration/algorithms.py:1440: RuntimeWarning: Mean of empty slice.
centermass = coordsrc.mean(0)
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:121: RuntimeWarning: invalid value encountered in divide
ret = um.true_divide(
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:206: RuntimeWarning: Degrees of freedom <= 0 for slice
ret = _var(a, axis=axis, dtype=dtype, out=out, ddof=ddof,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:163: RuntimeWarning: invalid value encountered in divide
arrmean = um.true_divide(arrmean, div, out=arrmean,
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/numpy/core/_methods.py:198: RuntimeWarning: invalid value encountered in scalar divide
ret = ret.dtype.type(ret / rcount)
Slice #299 is empty. It will be ignored.
Estimate cord angle for each slice: 100%|██████████████████████| 300/300 [00:00<00:00, 641.86iter/s]
Build 3D deformation field: 0%| | 0/223 [00:00<?, ?iter/s]
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Build 3D deformation field: 39%|████████████ | 87/223 [00:00<00:01, 103.72iter/s]
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Build 3D deformation field: 49%|██████████████▋ | 109/223 [00:01<00:01, 104.08iter/s]
Build 3D deformation field: 54%|████████████████▏ | 120/223 [00:01<00:00, 104.17iter/s]
Build 3D deformation field: 59%|█████████████████▌ | 131/223 [00:01<00:00, 105.25iter/s]
Build 3D deformation field: 64%|███████████████████ | 142/223 [00:01<00:00, 105.62iter/s]
Build 3D deformation field: 69%|████████████████████▌ | 153/223 [00:01<00:00, 105.99iter/s]
Build 3D deformation field: 74%|██████████████████████ | 164/223 [00:01<00:00, 105.80iter/s]
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Build 3D deformation field: 83%|█████████████████████████ | 186/223 [00:01<00:00, 104.84iter/s]
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Build 3D deformation field: 93%|███████████████████████████▉ | 208/223 [00:01<00:00, 104.31iter/s]
Build 3D deformation field: 98%|█████████████████████████████▍| 219/223 [00:02<00:00, 103.94iter/s]
Build 3D deformation field: 100%|██████████████████████████████| 223/223 [00:02<00:00, 103.95iter/s]
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1Warp.nii.gz
Generate warping field...
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--> step1InverseWarp.nii.gz
Move warping fields...
cp step1Warp.nii.gz /tmp/sct_2024-11-05_21-24-54_register-wrapper_0v30w27j
cp step1InverseWarp.nii.gz /tmp/sct_2024-11-05_21-24-54_register-wrapper_0v30w27j
rm -rf /tmp/sct_2024-11-05_21-24-57_register-slicewise_f6qsk5ut
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.nii.gz # in /tmp/sct_2024-11-05_21-24-54_register-wrapper_0v30w27j
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii warp_inverse_0.nii.gz warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-24-54_register-wrapper_0v30w27j
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-54_register-wrapper_0v30w27j/warp_src2dest.nii.gz warp_sub-UCL3_acq-coilQaSagLarge_SNR_T00002sub-UCL3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File created: warp_sub-UCL3_acq-coilQaSagLarge_SNR_T00002sub-UCL3_inv-1_part-mag_MP2RAGE_crop.nii.gz
File sub-UCL3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz already exists. Deleting it..
File created: sub-UCL3_inv-1_part-mag_MP2RAGE_crop_reg.nii.gz
mv /tmp/sct_2024-11-05_21-24-54_register-wrapper_0v30w27j/warp_dest2src.nii.gz warp_sub-UCL3_inv-1_part-mag_MP2RAGE_crop2sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-UCL3_inv-1_part-mag_MP2RAGE_crop2sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-24-54_register-wrapper_0v30w27j
Finished! Elapsed time: 10s
*** Generating Quality Control (QC) html report ***
Resample images to 0.600000x0.600000 mm
Converting image from type 'int16' to type 'float64' for spline interpolation
Find the center of each slice
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/python/envs/venv_sct/lib/python3.9/site-packages/scipy/ndimage/_measurements.py:1542: RuntimeWarning: invalid value encountered in scalar divide
results = [sum(input * grids[dir].astype(float), labels, index) / normalizer
Successfully generated the QC results in /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/_json/qc_2024_11_05_212504.457932.json
To see the results in a browser, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/qc/index.html
Warp MP2RAGE vertebral levels to fmap metrics#
# Warping vertebral level to each flip angle and SNR map
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "fmap"))
# For MSSM subjects, we also need to warp the SC segmentation
if subject in ['sub-MSSM1', 'sub-MSSM2', 'sub-MSSM3']:
# Warping spinal cord segmentation to TFL data
!sct_apply_transfo -i ../anat/{subject}_UNIT1_seg_crop.nii.gz -d {subject}_acq-famp_TB1TFL.nii.gz -w warp_{subject}_inv-1_part-mag_MP2RAGE_crop2{subject}_acq-famp_TB1TFL.nii.gz -x linear -o {subject}_acq-anat_TB1TFL_seg.nii.gz
# Setting type to 'famp' for command below (https://github.com/spinal-cord-7t/coil-qc-code/issues/43)
type = 'famp'
else:
type = 'anat'
# Warping vertebral levels to TFL data
!sct_apply_transfo -i ../anat/{subject}_UNIT1_seg_labeled_crop.nii.gz -d {subject}_acq-famp_TB1TFL.nii.gz -w warp_{subject}_inv-1_part-mag_MP2RAGE_crop2{subject}_acq-{type}_TB1TFL.nii.gz -x nn -o {subject}_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
# !sct_qc -i {subject}_acq-{type}_TB1TFL.nii.gz -s {subject}_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -p sct_label_vertebrae -qc {path_qc} -qc-subject {subject}
# Warping SC segmentation and vertebral levels to DREAM fmaps
!sct_apply_transfo -i ../anat/{subject}_UNIT1_seg_crop.nii.gz -d {subject}_acq-famp_TB1DREAM.nii.gz -w warp_{subject}_UNIT1_crop2{subject}_acq-famp_TB1DREAM.nii.gz -x linear -o {subject}_acq-famp_TB1DREAM_seg.nii.gz
# !sct_qc -i {subject}_acq-famp_TB1DREAM.nii.gz -s {subject}_acq-famp_TB1DREAM_seg.nii.gz -p sct_deepseg_sc -qc {path_qc} -qc-subject {subject}
!sct_apply_transfo -i ../anat/{subject}_UNIT1_seg_labeled_crop.nii.gz -d {subject}_acq-famp_TB1DREAM.nii.gz -w warp_{subject}_UNIT1_crop2{subject}_acq-famp_TB1DREAM.nii.gz -x nn -o {subject}_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
# !sct_qc -i {subject}_acq-famp_TB1DREAM.nii.gz -s {subject}_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -p sct_label_vertebrae -qc {path_qc} -qc-subject {subject}
# Warping SC segmentation and vertebral level to SNR maps
!sct_apply_transfo -i ../anat/{subject}_UNIT1_seg_labeled_crop.nii.gz -d {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_{subject}_inv-1_part-mag_MP2RAGE_crop2{subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o {subject}_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
# !sct_qc -i {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz -s {subject}_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -p sct_label_vertebrae -qc {path_qc} -qc-subject {subject}
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM1_UNIT1_seg_labeled_crop.nii.gz -d sub-CRMBM1_acq-famp_TB1TFL.nii.gz -w warp_sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM1_acq-anat_TB1TFL.nii.gz -x nn -o sub-CRMBM1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 100 x 314 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM1_UNIT1_seg_labeled_crop.nii.gz -o sub-CRMBM1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM1_acq-anat_TB1TFL.nii.gz -r sub-CRMBM1_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM1_UNIT1_seg_crop.nii.gz -d sub-CRMBM1_acq-famp_TB1DREAM.nii.gz -w warp_sub-CRMBM1_UNIT1_crop2sub-CRMBM1_acq-famp_TB1DREAM.nii.gz -x linear -o sub-CRMBM1_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 100 x 314 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM1_UNIT1_seg_crop.nii.gz -o sub-CRMBM1_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-CRMBM1_UNIT1_crop2sub-CRMBM1_acq-famp_TB1DREAM.nii.gz -r sub-CRMBM1_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM1_UNIT1_seg_labeled_crop.nii.gz -d sub-CRMBM1_acq-famp_TB1DREAM.nii.gz -w warp_sub-CRMBM1_UNIT1_crop2sub-CRMBM1_acq-famp_TB1DREAM.nii.gz -x nn -o sub-CRMBM1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 100 x 314 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM1_UNIT1_seg_labeled_crop.nii.gz -o sub-CRMBM1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-CRMBM1_UNIT1_crop2sub-CRMBM1_acq-famp_TB1DREAM.nii.gz -r sub-CRMBM1_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM1_UNIT1_seg_labeled_crop.nii.gz -d sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 100 x 314 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM1_UNIT1_seg_labeled_crop.nii.gz -o sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-CRMBM1_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM2_UNIT1_seg_labeled_crop.nii.gz -d sub-CRMBM2_acq-famp_TB1TFL.nii.gz -w warp_sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM2_acq-anat_TB1TFL.nii.gz -x nn -o sub-CRMBM2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 90 x 226 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM2_UNIT1_seg_labeled_crop.nii.gz -o sub-CRMBM2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM2_acq-anat_TB1TFL.nii.gz -r sub-CRMBM2_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM2_UNIT1_seg_crop.nii.gz -d sub-CRMBM2_acq-famp_TB1DREAM.nii.gz -w warp_sub-CRMBM2_UNIT1_crop2sub-CRMBM2_acq-famp_TB1DREAM.nii.gz -x linear -o sub-CRMBM2_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 90 x 226 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM2_UNIT1_seg_crop.nii.gz -o sub-CRMBM2_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-CRMBM2_UNIT1_crop2sub-CRMBM2_acq-famp_TB1DREAM.nii.gz -r sub-CRMBM2_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM2_UNIT1_seg_labeled_crop.nii.gz -d sub-CRMBM2_acq-famp_TB1DREAM.nii.gz -w warp_sub-CRMBM2_UNIT1_crop2sub-CRMBM2_acq-famp_TB1DREAM.nii.gz -x nn -o sub-CRMBM2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 90 x 226 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM2_UNIT1_seg_labeled_crop.nii.gz -o sub-CRMBM2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-CRMBM2_UNIT1_crop2sub-CRMBM2_acq-famp_TB1DREAM.nii.gz -r sub-CRMBM2_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM2_UNIT1_seg_labeled_crop.nii.gz -d sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 90 x 226 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM2_UNIT1_seg_labeled_crop.nii.gz -o sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-CRMBM2_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM3_UNIT1_seg_labeled_crop.nii.gz -d sub-CRMBM3_acq-famp_TB1TFL.nii.gz -w warp_sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM3_acq-anat_TB1TFL.nii.gz -x nn -o sub-CRMBM3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 121 x 337 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM3_UNIT1_seg_labeled_crop.nii.gz -o sub-CRMBM3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM3_acq-anat_TB1TFL.nii.gz -r sub-CRMBM3_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM3_UNIT1_seg_crop.nii.gz -d sub-CRMBM3_acq-famp_TB1DREAM.nii.gz -w warp_sub-CRMBM3_UNIT1_crop2sub-CRMBM3_acq-famp_TB1DREAM.nii.gz -x linear -o sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 121 x 337 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM3_UNIT1_seg_crop.nii.gz -o sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-CRMBM3_UNIT1_crop2sub-CRMBM3_acq-famp_TB1DREAM.nii.gz -r sub-CRMBM3_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM3_UNIT1_seg_labeled_crop.nii.gz -d sub-CRMBM3_acq-famp_TB1DREAM.nii.gz -w warp_sub-CRMBM3_UNIT1_crop2sub-CRMBM3_acq-famp_TB1DREAM.nii.gz -x nn -o sub-CRMBM3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 121 x 337 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM3_UNIT1_seg_labeled_crop.nii.gz -o sub-CRMBM3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-CRMBM3_UNIT1_crop2sub-CRMBM3_acq-famp_TB1DREAM.nii.gz -r sub-CRMBM3_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-CRMBM3_UNIT1_seg_labeled_crop.nii.gz -d sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 121 x 337 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-CRMBM3_UNIT1_seg_labeled_crop.nii.gz -o sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-CRMBM3_inv-1_part-mag_MP2RAGE_crop2sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-CRMBM3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH1_UNIT1_seg_labeled_crop.nii.gz -d sub-MGH1_acq-famp_TB1TFL.nii.gz -w warp_sub-MGH1_inv-1_part-mag_MP2RAGE_crop2sub-MGH1_acq-anat_TB1TFL.nii.gz -x nn -o sub-MGH1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
62 x 118 x 226 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH1_UNIT1_seg_labeled_crop.nii.gz -o sub-MGH1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MGH1_inv-1_part-mag_MP2RAGE_crop2sub-MGH1_acq-anat_TB1TFL.nii.gz -r sub-MGH1_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH1_UNIT1_seg_crop.nii.gz -d sub-MGH1_acq-famp_TB1DREAM.nii.gz -w warp_sub-MGH1_UNIT1_crop2sub-MGH1_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MGH1_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
62 x 118 x 226 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH1_UNIT1_seg_crop.nii.gz -o sub-MGH1_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MGH1_UNIT1_crop2sub-MGH1_acq-famp_TB1DREAM.nii.gz -r sub-MGH1_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH1_UNIT1_seg_labeled_crop.nii.gz -d sub-MGH1_acq-famp_TB1DREAM.nii.gz -w warp_sub-MGH1_UNIT1_crop2sub-MGH1_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MGH1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
62 x 118 x 226 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH1_UNIT1_seg_labeled_crop.nii.gz -o sub-MGH1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MGH1_UNIT1_crop2sub-MGH1_acq-famp_TB1DREAM.nii.gz -r sub-MGH1_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH1_UNIT1_seg_labeled_crop.nii.gz -d sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MGH1_inv-1_part-mag_MP2RAGE_crop2sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MGH1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
62 x 118 x 226 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH1_UNIT1_seg_labeled_crop.nii.gz -o sub-MGH1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MGH1_inv-1_part-mag_MP2RAGE_crop2sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH2_UNIT1_seg_labeled_crop.nii.gz -d sub-MGH2_acq-famp_TB1TFL.nii.gz -w warp_sub-MGH2_inv-1_part-mag_MP2RAGE_crop2sub-MGH2_acq-anat_TB1TFL.nii.gz -x nn -o sub-MGH2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
59 x 117 x 223 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH2_UNIT1_seg_labeled_crop.nii.gz -o sub-MGH2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MGH2_inv-1_part-mag_MP2RAGE_crop2sub-MGH2_acq-anat_TB1TFL.nii.gz -r sub-MGH2_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH2_UNIT1_seg_crop.nii.gz -d sub-MGH2_acq-famp_TB1DREAM.nii.gz -w warp_sub-MGH2_UNIT1_crop2sub-MGH2_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MGH2_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
59 x 117 x 223 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH2_UNIT1_seg_crop.nii.gz -o sub-MGH2_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MGH2_UNIT1_crop2sub-MGH2_acq-famp_TB1DREAM.nii.gz -r sub-MGH2_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH2_UNIT1_seg_labeled_crop.nii.gz -d sub-MGH2_acq-famp_TB1DREAM.nii.gz -w warp_sub-MGH2_UNIT1_crop2sub-MGH2_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MGH2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
59 x 117 x 223 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH2_UNIT1_seg_labeled_crop.nii.gz -o sub-MGH2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MGH2_UNIT1_crop2sub-MGH2_acq-famp_TB1DREAM.nii.gz -r sub-MGH2_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH2_UNIT1_seg_labeled_crop.nii.gz -d sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MGH2_inv-1_part-mag_MP2RAGE_crop2sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MGH2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
59 x 117 x 223 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH2_UNIT1_seg_labeled_crop.nii.gz -o sub-MGH2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MGH2_inv-1_part-mag_MP2RAGE_crop2sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH3_UNIT1_seg_labeled_crop.nii.gz -d sub-MGH3_acq-famp_TB1TFL.nii.gz -w warp_sub-MGH3_inv-1_part-mag_MP2RAGE_crop2sub-MGH3_acq-anat_TB1TFL.nii.gz -x nn -o sub-MGH3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
63 x 127 x 238 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH3_UNIT1_seg_labeled_crop.nii.gz -o sub-MGH3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MGH3_inv-1_part-mag_MP2RAGE_crop2sub-MGH3_acq-anat_TB1TFL.nii.gz -r sub-MGH3_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH3_UNIT1_seg_crop.nii.gz -d sub-MGH3_acq-famp_TB1DREAM.nii.gz -w warp_sub-MGH3_UNIT1_crop2sub-MGH3_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MGH3_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
63 x 127 x 238 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH3_UNIT1_seg_crop.nii.gz -o sub-MGH3_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MGH3_UNIT1_crop2sub-MGH3_acq-famp_TB1DREAM.nii.gz -r sub-MGH3_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH3_UNIT1_seg_labeled_crop.nii.gz -d sub-MGH3_acq-famp_TB1DREAM.nii.gz -w warp_sub-MGH3_UNIT1_crop2sub-MGH3_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MGH3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
63 x 127 x 238 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH3_UNIT1_seg_labeled_crop.nii.gz -o sub-MGH3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MGH3_UNIT1_crop2sub-MGH3_acq-famp_TB1DREAM.nii.gz -r sub-MGH3_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MGH3_UNIT1_seg_labeled_crop.nii.gz -d sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MGH3_inv-1_part-mag_MP2RAGE_crop2sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
63 x 127 x 238 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MGH3_UNIT1_seg_labeled_crop.nii.gz -o sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MGH3_inv-1_part-mag_MP2RAGE_crop2sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MGH3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI1_UNIT1_seg_labeled_crop.nii.gz -d sub-MNI1_acq-famp_TB1TFL.nii.gz -w warp_sub-MNI1_inv-1_part-mag_MP2RAGE_crop2sub-MNI1_acq-anat_TB1TFL.nii.gz -x nn -o sub-MNI1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 77 x 367 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI1_UNIT1_seg_labeled_crop.nii.gz -o sub-MNI1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MNI1_inv-1_part-mag_MP2RAGE_crop2sub-MNI1_acq-anat_TB1TFL.nii.gz -r sub-MNI1_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI1_UNIT1_seg_crop.nii.gz -d sub-MNI1_acq-famp_TB1DREAM.nii.gz -w warp_sub-MNI1_UNIT1_crop2sub-MNI1_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MNI1_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 77 x 367 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI1_UNIT1_seg_crop.nii.gz -o sub-MNI1_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MNI1_UNIT1_crop2sub-MNI1_acq-famp_TB1DREAM.nii.gz -r sub-MNI1_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI1_UNIT1_seg_labeled_crop.nii.gz -d sub-MNI1_acq-famp_TB1DREAM.nii.gz -w warp_sub-MNI1_UNIT1_crop2sub-MNI1_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MNI1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 77 x 367 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI1_UNIT1_seg_labeled_crop.nii.gz -o sub-MNI1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MNI1_UNIT1_crop2sub-MNI1_acq-famp_TB1DREAM.nii.gz -r sub-MNI1_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI1_UNIT1_seg_labeled_crop.nii.gz -d sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MNI1_inv-1_part-mag_MP2RAGE_crop2sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MNI1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 77 x 367 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI1_UNIT1_seg_labeled_crop.nii.gz -o sub-MNI1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MNI1_inv-1_part-mag_MP2RAGE_crop2sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI2_UNIT1_seg_labeled_crop.nii.gz -d sub-MNI2_acq-famp_TB1TFL.nii.gz -w warp_sub-MNI2_inv-1_part-mag_MP2RAGE_crop2sub-MNI2_acq-anat_TB1TFL.nii.gz -x nn -o sub-MNI2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
63 x 75 x 361 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI2_UNIT1_seg_labeled_crop.nii.gz -o sub-MNI2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MNI2_inv-1_part-mag_MP2RAGE_crop2sub-MNI2_acq-anat_TB1TFL.nii.gz -r sub-MNI2_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI2_UNIT1_seg_crop.nii.gz -d sub-MNI2_acq-famp_TB1DREAM.nii.gz -w warp_sub-MNI2_UNIT1_crop2sub-MNI2_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MNI2_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
63 x 75 x 361 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI2_UNIT1_seg_crop.nii.gz -o sub-MNI2_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MNI2_UNIT1_crop2sub-MNI2_acq-famp_TB1DREAM.nii.gz -r sub-MNI2_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI2_UNIT1_seg_labeled_crop.nii.gz -d sub-MNI2_acq-famp_TB1DREAM.nii.gz -w warp_sub-MNI2_UNIT1_crop2sub-MNI2_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MNI2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
63 x 75 x 361 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI2_UNIT1_seg_labeled_crop.nii.gz -o sub-MNI2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MNI2_UNIT1_crop2sub-MNI2_acq-famp_TB1DREAM.nii.gz -r sub-MNI2_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI2_UNIT1_seg_labeled_crop.nii.gz -d sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MNI2_inv-1_part-mag_MP2RAGE_crop2sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MNI2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
63 x 75 x 361 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI2_UNIT1_seg_labeled_crop.nii.gz -o sub-MNI2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MNI2_inv-1_part-mag_MP2RAGE_crop2sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI3_UNIT1_seg_labeled_crop.nii.gz -d sub-MNI3_acq-famp_TB1TFL.nii.gz -w warp_sub-MNI3_inv-1_part-mag_MP2RAGE_crop2sub-MNI3_acq-anat_TB1TFL.nii.gz -x nn -o sub-MNI3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 102 x 260 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI3_UNIT1_seg_labeled_crop.nii.gz -o sub-MNI3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MNI3_inv-1_part-mag_MP2RAGE_crop2sub-MNI3_acq-anat_TB1TFL.nii.gz -r sub-MNI3_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI3_UNIT1_seg_crop.nii.gz -d sub-MNI3_acq-famp_TB1DREAM.nii.gz -w warp_sub-MNI3_UNIT1_crop2sub-MNI3_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MNI3_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 102 x 260 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI3_UNIT1_seg_crop.nii.gz -o sub-MNI3_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MNI3_UNIT1_crop2sub-MNI3_acq-famp_TB1DREAM.nii.gz -r sub-MNI3_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI3_UNIT1_seg_labeled_crop.nii.gz -d sub-MNI3_acq-famp_TB1DREAM.nii.gz -w warp_sub-MNI3_UNIT1_crop2sub-MNI3_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MNI3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 102 x 260 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI3_UNIT1_seg_labeled_crop.nii.gz -o sub-MNI3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MNI3_UNIT1_crop2sub-MNI3_acq-famp_TB1DREAM.nii.gz -r sub-MNI3_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MNI3_UNIT1_seg_labeled_crop.nii.gz -d sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MNI3_inv-1_part-mag_MP2RAGE_crop2sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 102 x 260 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MNI3_UNIT1_seg_labeled_crop.nii.gz -o sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MNI3_inv-1_part-mag_MP2RAGE_crop2sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MNI3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI1_UNIT1_seg_labeled_crop.nii.gz -d sub-MPI1_acq-famp_TB1TFL.nii.gz -w warp_sub-MPI1_inv-1_part-mag_MP2RAGE_crop2sub-MPI1_acq-anat_TB1TFL.nii.gz -x nn -o sub-MPI1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 89 x 266 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI1_UNIT1_seg_labeled_crop.nii.gz -o sub-MPI1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MPI1_inv-1_part-mag_MP2RAGE_crop2sub-MPI1_acq-anat_TB1TFL.nii.gz -r sub-MPI1_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI1_UNIT1_seg_crop.nii.gz -d sub-MPI1_acq-famp_TB1DREAM.nii.gz -w warp_sub-MPI1_UNIT1_crop2sub-MPI1_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MPI1_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 89 x 266 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI1_UNIT1_seg_crop.nii.gz -o sub-MPI1_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MPI1_UNIT1_crop2sub-MPI1_acq-famp_TB1DREAM.nii.gz -r sub-MPI1_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI1_UNIT1_seg_labeled_crop.nii.gz -d sub-MPI1_acq-famp_TB1DREAM.nii.gz -w warp_sub-MPI1_UNIT1_crop2sub-MPI1_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MPI1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 89 x 266 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI1_UNIT1_seg_labeled_crop.nii.gz -o sub-MPI1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MPI1_UNIT1_crop2sub-MPI1_acq-famp_TB1DREAM.nii.gz -r sub-MPI1_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI1_UNIT1_seg_labeled_crop.nii.gz -d sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MPI1_inv-1_part-mag_MP2RAGE_crop2sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MPI1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 89 x 266 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI1_UNIT1_seg_labeled_crop.nii.gz -o sub-MPI1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MPI1_inv-1_part-mag_MP2RAGE_crop2sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI2_UNIT1_seg_labeled_crop.nii.gz -d sub-MPI2_acq-famp_TB1TFL.nii.gz -w warp_sub-MPI2_inv-1_part-mag_MP2RAGE_crop2sub-MPI2_acq-anat_TB1TFL.nii.gz -x nn -o sub-MPI2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
61 x 89 x 276 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI2_UNIT1_seg_labeled_crop.nii.gz -o sub-MPI2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MPI2_inv-1_part-mag_MP2RAGE_crop2sub-MPI2_acq-anat_TB1TFL.nii.gz -r sub-MPI2_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI2_UNIT1_seg_crop.nii.gz -d sub-MPI2_acq-famp_TB1DREAM.nii.gz -w warp_sub-MPI2_UNIT1_crop2sub-MPI2_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MPI2_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
61 x 89 x 276 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI2_UNIT1_seg_crop.nii.gz -o sub-MPI2_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MPI2_UNIT1_crop2sub-MPI2_acq-famp_TB1DREAM.nii.gz -r sub-MPI2_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI2_UNIT1_seg_labeled_crop.nii.gz -d sub-MPI2_acq-famp_TB1DREAM.nii.gz -w warp_sub-MPI2_UNIT1_crop2sub-MPI2_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MPI2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
61 x 89 x 276 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI2_UNIT1_seg_labeled_crop.nii.gz -o sub-MPI2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MPI2_UNIT1_crop2sub-MPI2_acq-famp_TB1DREAM.nii.gz -r sub-MPI2_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI2_UNIT1_seg_labeled_crop.nii.gz -d sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MPI2_inv-1_part-mag_MP2RAGE_crop2sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MPI2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
61 x 89 x 276 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI2_UNIT1_seg_labeled_crop.nii.gz -o sub-MPI2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MPI2_inv-1_part-mag_MP2RAGE_crop2sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI3_UNIT1_seg_labeled_crop.nii.gz -d sub-MPI3_acq-famp_TB1TFL.nii.gz -w warp_sub-MPI3_inv-1_part-mag_MP2RAGE_crop2sub-MPI3_acq-anat_TB1TFL.nii.gz -x nn -o sub-MPI3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 117 x 282 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI3_UNIT1_seg_labeled_crop.nii.gz -o sub-MPI3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MPI3_inv-1_part-mag_MP2RAGE_crop2sub-MPI3_acq-anat_TB1TFL.nii.gz -r sub-MPI3_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI3_UNIT1_seg_crop.nii.gz -d sub-MPI3_acq-famp_TB1DREAM.nii.gz -w warp_sub-MPI3_UNIT1_crop2sub-MPI3_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MPI3_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 117 x 282 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI3_UNIT1_seg_crop.nii.gz -o sub-MPI3_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MPI3_UNIT1_crop2sub-MPI3_acq-famp_TB1DREAM.nii.gz -r sub-MPI3_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI3_UNIT1_seg_labeled_crop.nii.gz -d sub-MPI3_acq-famp_TB1DREAM.nii.gz -w warp_sub-MPI3_UNIT1_crop2sub-MPI3_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MPI3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 117 x 282 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI3_UNIT1_seg_labeled_crop.nii.gz -o sub-MPI3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MPI3_UNIT1_crop2sub-MPI3_acq-famp_TB1DREAM.nii.gz -r sub-MPI3_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MPI3_UNIT1_seg_labeled_crop.nii.gz -d sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MPI3_inv-1_part-mag_MP2RAGE_crop2sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 117 x 282 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MPI3_UNIT1_seg_labeled_crop.nii.gz -o sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MPI3_inv-1_part-mag_MP2RAGE_crop2sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MPI3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM1_UNIT1_seg_crop.nii.gz -d sub-MSSM1_acq-famp_TB1TFL.nii.gz -w warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-famp_TB1TFL.nii.gz -x linear -o sub-MSSM1_acq-anat_TB1TFL_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 72 x 238 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM1_UNIT1_seg_crop.nii.gz -o sub-MSSM1_acq-anat_TB1TFL_seg.nii.gz -t warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-famp_TB1TFL.nii.gz -r sub-MSSM1_acq-famp_TB1TFL.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM1_UNIT1_seg_labeled_crop.nii.gz -d sub-MSSM1_acq-famp_TB1TFL.nii.gz -w warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-famp_TB1TFL.nii.gz -x nn -o sub-MSSM1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 72 x 238 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM1_UNIT1_seg_labeled_crop.nii.gz -o sub-MSSM1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-famp_TB1TFL.nii.gz -r sub-MSSM1_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM1_UNIT1_seg_crop.nii.gz -d sub-MSSM1_acq-famp_TB1DREAM.nii.gz -w warp_sub-MSSM1_UNIT1_crop2sub-MSSM1_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MSSM1_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 72 x 238 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM1_UNIT1_seg_crop.nii.gz -o sub-MSSM1_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MSSM1_UNIT1_crop2sub-MSSM1_acq-famp_TB1DREAM.nii.gz -r sub-MSSM1_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM1_UNIT1_seg_labeled_crop.nii.gz -d sub-MSSM1_acq-famp_TB1DREAM.nii.gz -w warp_sub-MSSM1_UNIT1_crop2sub-MSSM1_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MSSM1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 72 x 238 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM1_UNIT1_seg_labeled_crop.nii.gz -o sub-MSSM1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MSSM1_UNIT1_crop2sub-MSSM1_acq-famp_TB1DREAM.nii.gz -r sub-MSSM1_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM1_UNIT1_seg_labeled_crop.nii.gz -d sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MSSM1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
68 x 72 x 238 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM1_UNIT1_seg_labeled_crop.nii.gz -o sub-MSSM1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MSSM1_inv-1_part-mag_MP2RAGE_crop2sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM2_UNIT1_seg_crop.nii.gz -d sub-MSSM2_acq-famp_TB1TFL.nii.gz -w warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-famp_TB1TFL.nii.gz -x linear -o sub-MSSM2_acq-anat_TB1TFL_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
62 x 74 x 228 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM2_UNIT1_seg_crop.nii.gz -o sub-MSSM2_acq-anat_TB1TFL_seg.nii.gz -t warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-famp_TB1TFL.nii.gz -r sub-MSSM2_acq-famp_TB1TFL.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM2_UNIT1_seg_labeled_crop.nii.gz -d sub-MSSM2_acq-famp_TB1TFL.nii.gz -w warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-famp_TB1TFL.nii.gz -x nn -o sub-MSSM2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
62 x 74 x 228 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM2_UNIT1_seg_labeled_crop.nii.gz -o sub-MSSM2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-famp_TB1TFL.nii.gz -r sub-MSSM2_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM2_UNIT1_seg_crop.nii.gz -d sub-MSSM2_acq-famp_TB1DREAM.nii.gz -w warp_sub-MSSM2_UNIT1_crop2sub-MSSM2_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MSSM2_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
62 x 74 x 228 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM2_UNIT1_seg_crop.nii.gz -o sub-MSSM2_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MSSM2_UNIT1_crop2sub-MSSM2_acq-famp_TB1DREAM.nii.gz -r sub-MSSM2_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM2_UNIT1_seg_labeled_crop.nii.gz -d sub-MSSM2_acq-famp_TB1DREAM.nii.gz -w warp_sub-MSSM2_UNIT1_crop2sub-MSSM2_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MSSM2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
62 x 74 x 228 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM2_UNIT1_seg_labeled_crop.nii.gz -o sub-MSSM2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MSSM2_UNIT1_crop2sub-MSSM2_acq-famp_TB1DREAM.nii.gz -r sub-MSSM2_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM2_UNIT1_seg_labeled_crop.nii.gz -d sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MSSM2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
62 x 74 x 228 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM2_UNIT1_seg_labeled_crop.nii.gz -o sub-MSSM2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MSSM2_inv-1_part-mag_MP2RAGE_crop2sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM3_UNIT1_seg_crop.nii.gz -d sub-MSSM3_acq-famp_TB1TFL.nii.gz -w warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-famp_TB1TFL.nii.gz -x linear -o sub-MSSM3_acq-anat_TB1TFL_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 104 x 289 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM3_UNIT1_seg_crop.nii.gz -o sub-MSSM3_acq-anat_TB1TFL_seg.nii.gz -t warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-famp_TB1TFL.nii.gz -r sub-MSSM3_acq-famp_TB1TFL.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM3_UNIT1_seg_labeled_crop.nii.gz -d sub-MSSM3_acq-famp_TB1TFL.nii.gz -w warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-famp_TB1TFL.nii.gz -x nn -o sub-MSSM3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 104 x 289 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM3_UNIT1_seg_labeled_crop.nii.gz -o sub-MSSM3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-famp_TB1TFL.nii.gz -r sub-MSSM3_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM3_UNIT1_seg_crop.nii.gz -d sub-MSSM3_acq-famp_TB1DREAM.nii.gz -w warp_sub-MSSM3_UNIT1_crop2sub-MSSM3_acq-famp_TB1DREAM.nii.gz -x linear -o sub-MSSM3_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 104 x 289 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM3_UNIT1_seg_crop.nii.gz -o sub-MSSM3_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-MSSM3_UNIT1_crop2sub-MSSM3_acq-famp_TB1DREAM.nii.gz -r sub-MSSM3_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM3_UNIT1_seg_labeled_crop.nii.gz -d sub-MSSM3_acq-famp_TB1DREAM.nii.gz -w warp_sub-MSSM3_UNIT1_crop2sub-MSSM3_acq-famp_TB1DREAM.nii.gz -x nn -o sub-MSSM3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 104 x 289 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM3_UNIT1_seg_labeled_crop.nii.gz -o sub-MSSM3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MSSM3_UNIT1_crop2sub-MSSM3_acq-famp_TB1DREAM.nii.gz -r sub-MSSM3_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-MSSM3_UNIT1_seg_labeled_crop.nii.gz -d sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 104 x 289 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-MSSM3_UNIT1_seg_labeled_crop.nii.gz -o sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-MSSM3_inv-1_part-mag_MP2RAGE_crop2sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-MSSM3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU1_UNIT1_seg_labeled_crop.nii.gz -d sub-NTNU1_acq-famp_TB1TFL.nii.gz -w warp_sub-NTNU1_inv-1_part-mag_MP2RAGE_crop2sub-NTNU1_acq-anat_TB1TFL.nii.gz -x nn -o sub-NTNU1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 65 x 296 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU1_UNIT1_seg_labeled_crop.nii.gz -o sub-NTNU1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-NTNU1_inv-1_part-mag_MP2RAGE_crop2sub-NTNU1_acq-anat_TB1TFL.nii.gz -r sub-NTNU1_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU1_UNIT1_seg_crop.nii.gz -d sub-NTNU1_acq-famp_TB1DREAM.nii.gz -w warp_sub-NTNU1_UNIT1_crop2sub-NTNU1_acq-famp_TB1DREAM.nii.gz -x linear -o sub-NTNU1_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 65 x 296 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU1_UNIT1_seg_crop.nii.gz -o sub-NTNU1_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-NTNU1_UNIT1_crop2sub-NTNU1_acq-famp_TB1DREAM.nii.gz -r sub-NTNU1_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU1_UNIT1_seg_labeled_crop.nii.gz -d sub-NTNU1_acq-famp_TB1DREAM.nii.gz -w warp_sub-NTNU1_UNIT1_crop2sub-NTNU1_acq-famp_TB1DREAM.nii.gz -x nn -o sub-NTNU1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 65 x 296 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU1_UNIT1_seg_labeled_crop.nii.gz -o sub-NTNU1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-NTNU1_UNIT1_crop2sub-NTNU1_acq-famp_TB1DREAM.nii.gz -r sub-NTNU1_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU1_UNIT1_seg_labeled_crop.nii.gz -d sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-NTNU1_inv-1_part-mag_MP2RAGE_crop2sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-NTNU1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
65 x 65 x 296 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU1_UNIT1_seg_labeled_crop.nii.gz -o sub-NTNU1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-NTNU1_inv-1_part-mag_MP2RAGE_crop2sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU2_UNIT1_seg_labeled_crop.nii.gz -d sub-NTNU2_acq-famp_TB1TFL.nii.gz -w warp_sub-NTNU2_inv-1_part-mag_MP2RAGE_crop2sub-NTNU2_acq-anat_TB1TFL.nii.gz -x nn -o sub-NTNU2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 71 x 234 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU2_UNIT1_seg_labeled_crop.nii.gz -o sub-NTNU2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-NTNU2_inv-1_part-mag_MP2RAGE_crop2sub-NTNU2_acq-anat_TB1TFL.nii.gz -r sub-NTNU2_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU2_UNIT1_seg_crop.nii.gz -d sub-NTNU2_acq-famp_TB1DREAM.nii.gz -w warp_sub-NTNU2_UNIT1_crop2sub-NTNU2_acq-famp_TB1DREAM.nii.gz -x linear -o sub-NTNU2_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 71 x 234 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU2_UNIT1_seg_crop.nii.gz -o sub-NTNU2_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-NTNU2_UNIT1_crop2sub-NTNU2_acq-famp_TB1DREAM.nii.gz -r sub-NTNU2_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU2_UNIT1_seg_labeled_crop.nii.gz -d sub-NTNU2_acq-famp_TB1DREAM.nii.gz -w warp_sub-NTNU2_UNIT1_crop2sub-NTNU2_acq-famp_TB1DREAM.nii.gz -x nn -o sub-NTNU2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 71 x 234 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU2_UNIT1_seg_labeled_crop.nii.gz -o sub-NTNU2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-NTNU2_UNIT1_crop2sub-NTNU2_acq-famp_TB1DREAM.nii.gz -r sub-NTNU2_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU2_UNIT1_seg_labeled_crop.nii.gz -d sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-NTNU2_inv-1_part-mag_MP2RAGE_crop2sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-NTNU2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 71 x 234 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU2_UNIT1_seg_labeled_crop.nii.gz -o sub-NTNU2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-NTNU2_inv-1_part-mag_MP2RAGE_crop2sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU3_UNIT1_seg_labeled_crop.nii.gz -d sub-NTNU3_acq-famp_TB1TFL.nii.gz -w warp_sub-NTNU3_inv-1_part-mag_MP2RAGE_crop2sub-NTNU3_acq-anat_TB1TFL.nii.gz -x nn -o sub-NTNU3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
60 x 103 x 322 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU3_UNIT1_seg_labeled_crop.nii.gz -o sub-NTNU3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-NTNU3_inv-1_part-mag_MP2RAGE_crop2sub-NTNU3_acq-anat_TB1TFL.nii.gz -r sub-NTNU3_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU3_UNIT1_seg_crop.nii.gz -d sub-NTNU3_acq-famp_TB1DREAM.nii.gz -w warp_sub-NTNU3_UNIT1_crop2sub-NTNU3_acq-famp_TB1DREAM.nii.gz -x linear -o sub-NTNU3_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
60 x 103 x 322 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU3_UNIT1_seg_crop.nii.gz -o sub-NTNU3_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-NTNU3_UNIT1_crop2sub-NTNU3_acq-famp_TB1DREAM.nii.gz -r sub-NTNU3_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU3_UNIT1_seg_labeled_crop.nii.gz -d sub-NTNU3_acq-famp_TB1DREAM.nii.gz -w warp_sub-NTNU3_UNIT1_crop2sub-NTNU3_acq-famp_TB1DREAM.nii.gz -x nn -o sub-NTNU3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
60 x 103 x 322 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU3_UNIT1_seg_labeled_crop.nii.gz -o sub-NTNU3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-NTNU3_UNIT1_crop2sub-NTNU3_acq-famp_TB1DREAM.nii.gz -r sub-NTNU3_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-NTNU3_UNIT1_seg_labeled_crop.nii.gz -d sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-NTNU3_inv-1_part-mag_MP2RAGE_crop2sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
60 x 103 x 322 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-NTNU3_UNIT1_seg_labeled_crop.nii.gz -o sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-NTNU3_inv-1_part-mag_MP2RAGE_crop2sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-NTNU3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL1_UNIT1_seg_labeled_crop.nii.gz -d sub-UCL1_acq-famp_TB1TFL.nii.gz -w warp_sub-UCL1_inv-1_part-mag_MP2RAGE_crop2sub-UCL1_acq-anat_TB1TFL.nii.gz -x nn -o sub-UCL1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
67 x 105 x 333 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL1_UNIT1_seg_labeled_crop.nii.gz -o sub-UCL1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-UCL1_inv-1_part-mag_MP2RAGE_crop2sub-UCL1_acq-anat_TB1TFL.nii.gz -r sub-UCL1_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL1_UNIT1_seg_crop.nii.gz -d sub-UCL1_acq-famp_TB1DREAM.nii.gz -w warp_sub-UCL1_UNIT1_crop2sub-UCL1_acq-famp_TB1DREAM.nii.gz -x linear -o sub-UCL1_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
67 x 105 x 333 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL1_UNIT1_seg_crop.nii.gz -o sub-UCL1_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-UCL1_UNIT1_crop2sub-UCL1_acq-famp_TB1DREAM.nii.gz -r sub-UCL1_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL1_UNIT1_seg_labeled_crop.nii.gz -d sub-UCL1_acq-famp_TB1DREAM.nii.gz -w warp_sub-UCL1_UNIT1_crop2sub-UCL1_acq-famp_TB1DREAM.nii.gz -x nn -o sub-UCL1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
67 x 105 x 333 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL1_UNIT1_seg_labeled_crop.nii.gz -o sub-UCL1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-UCL1_UNIT1_crop2sub-UCL1_acq-famp_TB1DREAM.nii.gz -r sub-UCL1_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL1_UNIT1_seg_labeled_crop.nii.gz -d sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-UCL1_inv-1_part-mag_MP2RAGE_crop2sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-UCL1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
67 x 105 x 333 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL1_UNIT1_seg_labeled_crop.nii.gz -o sub-UCL1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-UCL1_inv-1_part-mag_MP2RAGE_crop2sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL1/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL2_UNIT1_seg_labeled_crop.nii.gz -d sub-UCL2_acq-famp_TB1TFL.nii.gz -w warp_sub-UCL2_inv-1_part-mag_MP2RAGE_crop2sub-UCL2_acq-anat_TB1TFL.nii.gz -x nn -o sub-UCL2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
75 x 110 x 287 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL2_UNIT1_seg_labeled_crop.nii.gz -o sub-UCL2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-UCL2_inv-1_part-mag_MP2RAGE_crop2sub-UCL2_acq-anat_TB1TFL.nii.gz -r sub-UCL2_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL2_UNIT1_seg_crop.nii.gz -d sub-UCL2_acq-famp_TB1DREAM.nii.gz -w warp_sub-UCL2_UNIT1_crop2sub-UCL2_acq-famp_TB1DREAM.nii.gz -x linear -o sub-UCL2_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
75 x 110 x 287 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL2_UNIT1_seg_crop.nii.gz -o sub-UCL2_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-UCL2_UNIT1_crop2sub-UCL2_acq-famp_TB1DREAM.nii.gz -r sub-UCL2_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL2_UNIT1_seg_labeled_crop.nii.gz -d sub-UCL2_acq-famp_TB1DREAM.nii.gz -w warp_sub-UCL2_UNIT1_crop2sub-UCL2_acq-famp_TB1DREAM.nii.gz -x nn -o sub-UCL2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
75 x 110 x 287 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL2_UNIT1_seg_labeled_crop.nii.gz -o sub-UCL2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-UCL2_UNIT1_crop2sub-UCL2_acq-famp_TB1DREAM.nii.gz -r sub-UCL2_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL2_UNIT1_seg_labeled_crop.nii.gz -d sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-UCL2_inv-1_part-mag_MP2RAGE_crop2sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-UCL2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
75 x 110 x 287 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL2_UNIT1_seg_labeled_crop.nii.gz -o sub-UCL2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-UCL2_inv-1_part-mag_MP2RAGE_crop2sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL2/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL3_UNIT1_seg_labeled_crop.nii.gz -d sub-UCL3_acq-famp_TB1TFL.nii.gz -w warp_sub-UCL3_inv-1_part-mag_MP2RAGE_crop2sub-UCL3_acq-anat_TB1TFL.nii.gz -x nn -o sub-UCL3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 115 x 300 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL3_UNIT1_seg_labeled_crop.nii.gz -o sub-UCL3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -t warp_sub-UCL3_inv-1_part-mag_MP2RAGE_crop2sub-UCL3_acq-anat_TB1TFL.nii.gz -r sub-UCL3_acq-famp_TB1TFL.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL3_UNIT1_seg_crop.nii.gz -d sub-UCL3_acq-famp_TB1DREAM.nii.gz -w warp_sub-UCL3_UNIT1_crop2sub-UCL3_acq-famp_TB1DREAM.nii.gz -x linear -o sub-UCL3_acq-famp_TB1DREAM_seg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 115 x 300 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL3_UNIT1_seg_crop.nii.gz -o sub-UCL3_acq-famp_TB1DREAM_seg.nii.gz -t warp_sub-UCL3_UNIT1_crop2sub-UCL3_acq-famp_TB1DREAM.nii.gz -r sub-UCL3_acq-famp_TB1DREAM.nii.gz -n Linear # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL3_UNIT1_seg_labeled_crop.nii.gz -d sub-UCL3_acq-famp_TB1DREAM.nii.gz -w warp_sub-UCL3_UNIT1_crop2sub-UCL3_acq-famp_TB1DREAM.nii.gz -x nn -o sub-UCL3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 115 x 300 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL3_UNIT1_seg_labeled_crop.nii.gz -o sub-UCL3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -t warp_sub-UCL3_UNIT1_crop2sub-UCL3_acq-famp_TB1DREAM.nii.gz -r sub-UCL3_acq-famp_TB1DREAM.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_apply_transfo -i ../anat/sub-UCL3_UNIT1_seg_labeled_crop.nii.gz -d sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-UCL3_inv-1_part-mag_MP2RAGE_crop2sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -x nn -o sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz
--
Parse list of warping fields...
Get dimensions of data...
69 x 115 x 300 x 1
Apply transformation...
Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i ../anat/sub-UCL3_UNIT1_seg_labeled_crop.nii.gz -o sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -t warp_sub-UCL3_inv-1_part-mag_MP2RAGE_crop2sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-human/sub-UCL3/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
Quality control (local station)#
# Quality control of registration
# This code generates syntax to open the registered data in FSLeyes. The syntax should be run from within the `data-human/` folder.
for subject in subjects:
# for subject in ['sub-MGH1']:
print(f"\n👉 CHECKING REGISTRATION FOR: {subject}\n")
cmd = f"fsleyes {subject}/fmap/{subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz {subject}/fmap/{subject}_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow"
print(cmd+" &")
# TODO: undisplay all scans but the first
👉 CHECKING REGISTRATION FOR: sub-CRMBM1
fsleyes sub-CRMBM1/fmap/sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-CRMBM1/fmap/sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-CRMBM2
fsleyes sub-CRMBM2/fmap/sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-CRMBM2/fmap/sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-CRMBM3
fsleyes sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MGH1
fsleyes sub-MGH1/fmap/sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MGH1/fmap/sub-MGH1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MGH2
fsleyes sub-MGH2/fmap/sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MGH2/fmap/sub-MGH2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MGH3
fsleyes sub-MGH3/fmap/sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MGH3/fmap/sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MNI1
fsleyes sub-MNI1/fmap/sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MNI1/fmap/sub-MNI1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MNI2
fsleyes sub-MNI2/fmap/sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MNI2/fmap/sub-MNI2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MNI3
fsleyes sub-MNI3/fmap/sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MNI3/fmap/sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MPI1
fsleyes sub-MPI1/fmap/sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MPI1/fmap/sub-MPI1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MPI2
fsleyes sub-MPI2/fmap/sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MPI2/fmap/sub-MPI2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MPI3
fsleyes sub-MPI3/fmap/sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MPI3/fmap/sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MSSM1
fsleyes sub-MSSM1/fmap/sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MSSM1/fmap/sub-MSSM1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MSSM2
fsleyes sub-MSSM2/fmap/sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MSSM2/fmap/sub-MSSM2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-MSSM3
fsleyes sub-MSSM3/fmap/sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-MSSM3/fmap/sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-NTNU1
fsleyes sub-NTNU1/fmap/sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-NTNU1/fmap/sub-NTNU1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-NTNU2
fsleyes sub-NTNU2/fmap/sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-NTNU2/fmap/sub-NTNU2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-NTNU3
fsleyes sub-NTNU3/fmap/sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-NTNU3/fmap/sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-UCL1
fsleyes sub-UCL1/fmap/sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-UCL1/fmap/sub-UCL1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-UCL2
fsleyes sub-UCL2/fmap/sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-UCL2/fmap/sub-UCL2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
👉 CHECKING REGISTRATION FOR: sub-UCL3
fsleyes sub-UCL3/fmap/sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz sub-UCL3/fmap/sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz --cmap rainbow &
Convert TFL and DREAM flip angle maps to B1+ in units of nT/V#
# load DREAM FA maps acquired with different reference voltages
# threshold FA maps to 20deg < FA < 50deg
# combine FA maps by averaging non-zero estimates of FA in each pixel
GAMMA = 2.675e8; # [rad / (s T)]
voltages = ["1.5", "0.66"]
for subject in subjects:
b1_maps = []
os.chdir(os.path.join(path_data, subject, "fmap"))
if subject=='sub-MSSM1':
ref_voltage=450
elif subject=='sub-MSSM2':
ref_voltage=350
elif subject=='sub-MSSM3':
ref_voltage=450
else:
# Fetch the reference voltage from the JSON sidecar
with open(f"{subject}_acq-famp_TB1DREAM.json", "r") as f:
metadata = json.load(f)
ref_voltage = metadata.get("TxRefAmp", "N/A")
if (ref_voltage == "N/A"):
ref_token = "N/A"
for token in metadata.get("SeriesDescription", "N/A").split("_"):
if token.startswith("RefV"): ref_token = token
ref_voltage = float(ref_token[4:-1])
# Open refV flip angle map with nibabel
nii = nib.load(f"{subject}_acq-famp_TB1DREAM.nii.gz")
meas_fa = nii.get_fdata()
#thresholding
meas_fa[meas_fa < 200] = np.nan
meas_fa[meas_fa > 500] = np.nan
# Fetch the flip angle from the JSON sidecar
with open(f"{subject}_acq-famp_TB1DREAM.json", "r") as f:
metadata = json.load(f)
requested_fa = metadata.get("FlipAngle", "N/A")
#convert measured FA to percent of requested FA (note that measured FA map is in degrees * 10)
meas_fa = (meas_fa/10) / requested_fa
# Account for the power loss between the coil and the socket. That number was given by Siemens.
voltage_at_socket = ref_voltage * 10 ** -0.095
# Compute B1 map in [T/V]
b1_map = meas_fa * (np.pi / (GAMMA * 1e-3 * voltage_at_socket))
# Convert to [nT/V]
b1_map = b1_map * 1e9
b1_maps.append(b1_map)
for voltage in voltages:
#check if map exists
my_file = Path(f"{subject}_acq-famp-{voltage}_TB1DREAM.nii.gz")
if my_file.is_file():
if subject=='sub-MSSM2' and voltage=="1.5":
ref_voltage=450
elif subject=='sub-MSSM2' and voltage=="0.66":
ref_voltage=234
elif subject=='sub-MSSM3' and voltage=="0.66":
ref_voltage=328
else:
# Fetch the reference voltage from the JSON sidecar
with open(f"{subject}_acq-famp-{voltage}_TB1DREAM.json", "r") as f:
metadata = json.load(f)
ref_voltage = metadata.get("TxRefAmp", "N/A")
if (ref_voltage == "N/A"):
ref_token = "N/A"
for token in metadata.get("SeriesDescription", "N/A").split("_"):
if token.startswith("RefV"): ref_token = token
ref_voltage = float(ref_token[4:-1])
# Open flip angle map with nibabel
nii = nib.load(f"{subject}_acq-famp-{voltage}_TB1DREAM.nii.gz")
meas_fa = nii.get_fdata()
#thresholding
meas_fa[meas_fa < 200] = np.nan
meas_fa[meas_fa > 500] = np.nan
# Fetch the flip angle from the JSON sidecar
with open(f"{subject}_acq-famp-{voltage}_TB1DREAM.json", "r") as f:
metadata = json.load(f)
requested_fa = metadata.get("FlipAngle", "N/A")
#convert measured FA to percent of requested FA (note that measured FA map is in degrees * 10)
meas_fa = (meas_fa/10) / requested_fa
else:
meas_fa = np.full((nii.header).get_data_shape(),np.nan)
# Account for the power loss between the coil and the socket. That number was given by Siemens.
voltage_at_socket = ref_voltage * 10 ** -0.095
# Compute B1 map in [T/V]
# Siemens maps are in units of flip angle * 10 (in degrees)
b1_map = meas_fa * (np.pi / (GAMMA * 1e-3 * voltage_at_socket))
# Convert to [nT/V]
b1_map = b1_map * 1e9
b1_maps.append(b1_map)
# compute mean of non-zero values
avgB1=np.nanmean(b1_maps,axis=0)
# Save as NIfTI file
nii_avgB1 = nib.Nifti1Image(avgB1, nii.affine, nii.header)
nib.save(nii_avgB1, f"{subject}_DREAMTB1avgB1map.nii.gz")
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_2644/4246477433.py:104: RuntimeWarning: Mean of empty slice
avgB1=np.nanmean(b1_maps,axis=0)
# Convert the TFL flip angle maps to B1+ efficiency maps [nT/V] (inspired by code from Kyle Gilbert)
# The approach consists in calculating the B1+ efficiency using a 1ms, pi-pulse at the acquisition voltage,
# then scale the efficiency by the ratio of the measured flip angle to the requested flip angle in the pulse sequence.
GAMMA = 2.675e8; # [rad / (s T)]
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "fmap"))
if subject=='sub-MSSM1':
ref_voltage=450
elif subject=='sub-MSSM2':
ref_voltage=350
elif subject=='sub-MSSM3':
ref_voltage=450
else:
# Fetch the reference voltage from the JSON sidecar
with open(f"{subject}_acq-famp_TB1TFL.json", "r") as f:
metadata = json.load(f)
ref_voltage = metadata.get("TxRefAmp", "N/A")
if (ref_voltage == "N/A"):
ref_token = "N/A"
for token in metadata.get("SeriesDescription", "N/A").split("_"):
if token.startswith("RefV"): ref_token = token
ref_voltage = float(ref_token[4:-1])
print(f"ref_voltage [V]: {ref_voltage} ({subject}_acq-famp_TB1TFL)")
# Fetch the flip angle from the JSON sidecar
with open(f"{subject}_acq-famp_TB1TFL.json", "r") as f:
metadata = json.load(f)
requested_fa = metadata.get("FlipAngle", "N/A")
print(f"flip angle [degrees]: {requested_fa} ({subject}_acq-famp_TB1TFL)")
# Open flip angle map with nibabel
nii = nib.load(f"{subject}_acq-famp_TB1TFL.nii.gz")
meas_fa = nii.get_fdata()
# Account for the power loss between the coil and the socket. That number was given by Siemens.
voltage_at_socket = ref_voltage * 10 ** -0.095
# Compute B1 map in [T/V]
# Siemens maps are in units of flip angle * 10 (in degrees)
b1_map = ((meas_fa / 10) / requested_fa) * (np.pi / (GAMMA * 1e-3 * voltage_at_socket))
# Convert to [nT/V]
b1_map = b1_map * 1e9
# Save B1 map in [T/V] as NIfTI file
nii_b1 = nib.Nifti1Image(b1_map, nii.affine, nii.header)
nib.save(nii_b1, f"{subject}_TFLTB1map.nii.gz")
ref_voltage [V]: 387 (sub-CRMBM1_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-CRMBM1_acq-famp_TB1TFL)
ref_voltage [V]: 233 (sub-CRMBM2_acq-famp_TB1TFL)
flip angle [degrees]: 89.99 (sub-CRMBM2_acq-famp_TB1TFL)
ref_voltage [V]: 380 (sub-CRMBM3_acq-famp_TB1TFL)
flip angle [degrees]: 89.99 (sub-CRMBM3_acq-famp_TB1TFL)
ref_voltage [V]: 600 (sub-MGH1_acq-famp_TB1TFL)
flip angle [degrees]: 89.99 (sub-MGH1_acq-famp_TB1TFL)
ref_voltage [V]: 520 (sub-MGH2_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-MGH2_acq-famp_TB1TFL)
ref_voltage [V]: 635.7 (sub-MGH3_acq-famp_TB1TFL)
flip angle [degrees]: 88.94 (sub-MGH3_acq-famp_TB1TFL)
ref_voltage [V]: 649.6 (sub-MNI1_acq-famp_TB1TFL)
flip angle [degrees]: 86.87 (sub-MNI1_acq-famp_TB1TFL)
ref_voltage [V]: 446.4 (sub-MNI2_acq-famp_TB1TFL)
flip angle [degrees]: 89.99 (sub-MNI2_acq-famp_TB1TFL)
ref_voltage [V]: 595.5 (sub-MNI3_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-MNI3_acq-famp_TB1TFL)
ref_voltage [V]: 500 (sub-MPI1_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-MPI1_acq-famp_TB1TFL)
ref_voltage [V]: 510 (sub-MPI2_acq-famp_TB1TFL)
flip angle [degrees]: 89.99 (sub-MPI2_acq-famp_TB1TFL)
ref_voltage [V]: 510 (sub-MPI3_acq-famp_TB1TFL)
flip angle [degrees]: 89.99 (sub-MPI3_acq-famp_TB1TFL)
ref_voltage [V]: 450 (sub-MSSM1_acq-famp_TB1TFL)
flip angle [degrees]: 60 (sub-MSSM1_acq-famp_TB1TFL)
ref_voltage [V]: 350 (sub-MSSM2_acq-famp_TB1TFL)
flip angle [degrees]: 80 (sub-MSSM2_acq-famp_TB1TFL)
ref_voltage [V]: 450 (sub-MSSM3_acq-famp_TB1TFL)
flip angle [degrees]: 60 (sub-MSSM3_acq-famp_TB1TFL)
ref_voltage [V]: 550 (sub-NTNU1_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-NTNU1_acq-famp_TB1TFL)
ref_voltage [V]: 450 (sub-NTNU2_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-NTNU2_acq-famp_TB1TFL)
ref_voltage [V]: 550 (sub-NTNU3_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-NTNU3_acq-famp_TB1TFL)
ref_voltage [V]: 388 (sub-UCL1_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-UCL1_acq-famp_TB1TFL)
ref_voltage [V]: 248 (sub-UCL2_acq-famp_TB1TFL)
flip angle [degrees]: 89.99 (sub-UCL2_acq-famp_TB1TFL)
ref_voltage [V]: 482 (sub-UCL3_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-UCL3_acq-famp_TB1TFL)
Extract B1+ and SNR along the spinal cord#
# Extract B1+ and SNR along the spinal cord between levels C1 and T2 (included) and save data to CSV files
# TODO: remove code duplication
for subject in subjects:
os.chdir(os.path.join(path_data, subject, "fmap"))
# Extract TFL B1+ along the spinal cord
fname_result_b1plus = os.path.join(path_results, f"{subject}_TFLTB1map.csv")
!sct_extract_metric -i {subject}_TFLTB1map.nii.gz -f {subject}_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile {subject}_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o "{fname_result_b1plus}"
# Extract DREAM B1+ along the spinal cord
fname_result_b1plus = os.path.join(path_results, f"{subject}_DREAMTB1avgB1map.csv")
!sct_extract_metric -i {subject}_DREAMTB1avgB1map.nii.gz -f {subject}_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile {subject}_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o "{fname_result_b1plus}"
# Extract SNR along the spinal cord
fname_result_SNR = os.path.join(path_results, f"{subject}_SNRmap.csv")
!sct_extract_metric -i {subject}_acq-coilQaSagLarge_SNR_T0000.nii.gz -f {subject}_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile {subject}_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o "{fname_result_SNR}"
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-CRMBM1_TFLTB1map.nii.gz -f sub-CRMBM1_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-CRMBM1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM1_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-CRMBM1_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM1_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-CRMBM1_DREAMTB1avgB1map.nii.gz -f sub-CRMBM1_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-CRMBM1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM1_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-CRMBM1_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM1_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM1_SNRmap.csv
--
Load metric image...
Estimation for label: sub-CRMBM1_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM1_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-CRMBM2_TFLTB1map.nii.gz -f sub-CRMBM2_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-CRMBM2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM2_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-CRMBM2_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM2_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-CRMBM2_DREAMTB1avgB1map.nii.gz -f sub-CRMBM2_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-CRMBM2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM2_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-CRMBM2_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM2_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM2_SNRmap.csv
--
Load metric image...
Estimation for label: sub-CRMBM2_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM2_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-CRMBM3_TFLTB1map.nii.gz -f sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-CRMBM3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM3_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-CRMBM3_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM3_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-CRMBM3_DREAMTB1avgB1map.nii.gz -f sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-CRMBM3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM3_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-CRMBM3_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM3_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM3_SNRmap.csv
--
Load metric image...
Estimation for label: sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-CRMBM3_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MGH1_TFLTB1map.nii.gz -f sub-MGH1_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MGH1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH1_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MGH1_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH1_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MGH1_DREAMTB1avgB1map.nii.gz -f sub-MGH1_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MGH1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH1_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MGH1_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH1_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MGH1_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MGH1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MGH1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH1_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MGH1_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH1_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MGH2_TFLTB1map.nii.gz -f sub-MGH2_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MGH2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH2_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MGH2_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH2_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MGH2_DREAMTB1avgB1map.nii.gz -f sub-MGH2_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MGH2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH2_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MGH2_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH2_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MGH2_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MGH2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MGH2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH2_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MGH2_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH2_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MGH3_TFLTB1map.nii.gz -f sub-MGH3_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MGH3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH3_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MGH3_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH3_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MGH3_DREAMTB1avgB1map.nii.gz -f sub-MGH3_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MGH3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH3_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MGH3_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH3_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH3_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MGH3_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MNI1_TFLTB1map.nii.gz -f sub-MNI1_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MNI1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI1_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MNI1_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI1_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MNI1_DREAMTB1avgB1map.nii.gz -f sub-MNI1_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MNI1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI1_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MNI1_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI1_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MNI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MNI1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MNI1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI1_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MNI1_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI1_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MNI2_TFLTB1map.nii.gz -f sub-MNI2_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MNI2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI2_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MNI2_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI2_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MNI2_DREAMTB1avgB1map.nii.gz -f sub-MNI2_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MNI2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI2_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MNI2_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI2_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MNI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MNI2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MNI2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI2_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MNI2_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI2_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MNI3_TFLTB1map.nii.gz -f sub-MNI3_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MNI3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI3_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MNI3_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI3_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MNI3_DREAMTB1avgB1map.nii.gz -f sub-MNI3_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MNI3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI3_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MNI3_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI3_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI3_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MNI3_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MPI1_TFLTB1map.nii.gz -f sub-MPI1_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MPI1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI1_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MPI1_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI1_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MPI1_DREAMTB1avgB1map.nii.gz -f sub-MPI1_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MPI1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI1_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MPI1_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI1_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MPI1_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MPI1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MPI1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI1_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MPI1_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI1_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MPI2_TFLTB1map.nii.gz -f sub-MPI2_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MPI2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI2_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MPI2_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI2_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MPI2_DREAMTB1avgB1map.nii.gz -f sub-MPI2_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MPI2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI2_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MPI2_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI2_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MPI2_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MPI2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MPI2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI2_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MPI2_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI2_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MPI3_TFLTB1map.nii.gz -f sub-MPI3_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MPI3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI3_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MPI3_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI3_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MPI3_DREAMTB1avgB1map.nii.gz -f sub-MPI3_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MPI3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI3_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MPI3_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI3_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI3_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MPI3_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MSSM1_TFLTB1map.nii.gz -f sub-MSSM1_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MSSM1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM1_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MSSM1_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM1_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MSSM1_DREAMTB1avgB1map.nii.gz -f sub-MSSM1_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MSSM1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM1_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MSSM1_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM1_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MSSM1_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MSSM1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MSSM1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM1_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MSSM1_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM1_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MSSM2_TFLTB1map.nii.gz -f sub-MSSM2_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MSSM2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM2_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MSSM2_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM2_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MSSM2_DREAMTB1avgB1map.nii.gz -f sub-MSSM2_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MSSM2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM2_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MSSM2_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM2_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MSSM2_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MSSM2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MSSM2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM2_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MSSM2_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM2_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MSSM3_TFLTB1map.nii.gz -f sub-MSSM3_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MSSM3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM3_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MSSM3_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM3_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MSSM3_DREAMTB1avgB1map.nii.gz -f sub-MSSM3_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MSSM3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM3_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-MSSM3_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM3_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM3_SNRmap.csv
--
Load metric image...
Estimation for label: sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-MSSM3_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-NTNU1_TFLTB1map.nii.gz -f sub-NTNU1_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-NTNU1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU1_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-NTNU1_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU1_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-NTNU1_DREAMTB1avgB1map.nii.gz -f sub-NTNU1_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-NTNU1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU1_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-NTNU1_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU1_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-NTNU1_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-NTNU1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-NTNU1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU1_SNRmap.csv
--
Load metric image...
Estimation for label: sub-NTNU1_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU1_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-NTNU2_TFLTB1map.nii.gz -f sub-NTNU2_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-NTNU2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU2_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-NTNU2_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU2_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-NTNU2_DREAMTB1avgB1map.nii.gz -f sub-NTNU2_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-NTNU2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU2_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-NTNU2_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU2_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-NTNU2_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-NTNU2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-NTNU2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU2_SNRmap.csv
--
Load metric image...
Estimation for label: sub-NTNU2_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU2_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-NTNU3_TFLTB1map.nii.gz -f sub-NTNU3_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-NTNU3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU3_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-NTNU3_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU3_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-NTNU3_DREAMTB1avgB1map.nii.gz -f sub-NTNU3_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-NTNU3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU3_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-NTNU3_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU3_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU3_SNRmap.csv
--
Load metric image...
Estimation for label: sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-NTNU3_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-UCL1_TFLTB1map.nii.gz -f sub-UCL1_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-UCL1_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL1_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-UCL1_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL1_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-UCL1_DREAMTB1avgB1map.nii.gz -f sub-UCL1_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-UCL1_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL1_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-UCL1_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL1_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-UCL1_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-UCL1_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-UCL1_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL1_SNRmap.csv
--
Load metric image...
Estimation for label: sub-UCL1_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL1_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-UCL2_TFLTB1map.nii.gz -f sub-UCL2_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-UCL2_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL2_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-UCL2_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL2_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-UCL2_DREAMTB1avgB1map.nii.gz -f sub-UCL2_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-UCL2_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL2_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-UCL2_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL2_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-UCL2_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-UCL2_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-UCL2_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL2_SNRmap.csv
--
Load metric image...
Estimation for label: sub-UCL2_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL2_SNRmap.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-UCL3_TFLTB1map.nii.gz -f sub-UCL3_acq-anat_TB1TFL_seg.nii.gz -method wa -vert 1:9 -vertfile sub-UCL3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL3_TFLTB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-UCL3_acq-anat_TB1TFL_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL3_TFLTB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-UCL3_DREAMTB1avgB1map.nii.gz -f sub-UCL3_acq-famp_TB1DREAM_seg.nii.gz -method wa -vert 1:9 -vertfile sub-UCL3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL3_DREAMTB1avgB1map.csv
--
Load metric image...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Estimation for label: sub-UCL3_acq-famp_TB1DREAM_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL3_DREAMTB1avgB1map.csv
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_extract_metric -i sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -f sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -method wa -vert 1:9 -vertfile sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -perlevel 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL3_SNRmap.csv
--
Load metric image...
Estimation for label: sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg
Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-human/derivatives/results/sub-UCL3_SNRmap.csv
Generate plots along spinal cord#
Load and post-process extracted metrics#
# Reorder subjects so that identical coils are displayed side-by-side
subjects = ['sub-CRMBM1', 'sub-CRMBM2', 'sub-CRMBM3', 'sub-UCL1', 'sub-UCL2', 'sub-UCL3', 'sub-MNI1', 'sub-MNI2', 'sub-MNI3', 'sub-MGH1', 'sub-MGH2', 'sub-MGH3', 'sub-MPI1', 'sub-MPI2', 'sub-MPI3', 'sub-NTNU1', 'sub-NTNU2', 'sub-NTNU3', 'sub-MSSM1', 'sub-MSSM2', 'sub-MSSM3']
# Go back to root data folder
os.chdir(os.path.join(path_data))
def smooth_data(data, window_size=20):
""" Apply a simple moving average to smooth the data. """
return uniform_filter1d(data, size=window_size, mode='nearest')
# Fixed grid for x-axis
x_grid = np.linspace(0, 1, 100)
# z-slices corresponding to levels C3 to T2 on the PAM50 template. These will be used to scale the x-label of each subject.
original_vector = np.array([985, 939, 907, 870, 833, 800, 769, 735, 692, 646])
# Normalize the PAM50 z-slice numbers to the 1-0 range (to show inferior-superior instead of superior-inferior)
min_val = original_vector.min()
max_val = original_vector.max()
normalized_vector = 1 - ((original_vector - min_val) / (max_val - min_val))
# Use this normalized vector as x-ticks
custom_xticks = normalized_vector
# Vertebral level labels
vertebral_levels = ["C1", "C2", "C3", "C4", "C5", "C6", "C7", "T1", "T2"]
# Calculate midpoints for label positions
label_positions = normalized_vector[:-1] + np.diff(normalized_vector) / 2
sites = ["CRMBM", "UCL", "MNI", "MGH", "MPI", "NTNU", "MSSM"]
# map types
map_types = ["TFLTB1", "DREAMTB1avgB1", "SNR"]
# Data storage for statistics
TFLTB1_data_stats = []
DREAMTB1avgB1_data_stats = []
SNR_TB1_data_stats = []
data_stats = [TFLTB1_data_stats, DREAMTB1avgB1_data_stats, SNR_TB1_data_stats]
# Data storage
TFLTB1_data = {}
DREAMTB1avgB1_data = {}
SNR_data = {}
data = [TFLTB1_data, DREAMTB1avgB1_data, SNR_data]
for map_type, data_stats_type, data_type in zip(map_types,data_stats,data):
i = 0
j = 0
for site in sites:
data_type[site]={}
while i < (j+3):
os.chdir(os.path.join(path_data, f"{subjects[i]}", "fmap"))
# Initialize list to collect data for this subject
subject_data = []
file_csv = os.path.join(path_results, f"{subjects[i]}_{map_type}map.csv")
df = pd.read_csv(file_csv)
wa_data = df['WA()']
# Compute stats on the non-resampled data (to avoid interpolation errors)
mean_data = np.mean(wa_data)
sd_data = np.std(wa_data)
# Normalize the x-axis to a 1-0 scale for each subject (to go from superior-inferior direction)
x_subject = np.linspace(1, 0, len(wa_data))
# Interpolate to the fixed grid
interp_func = interp1d(x_subject, wa_data, kind='linear', bounds_error=False, fill_value='extrapolate')
resampled_data = interp_func(x_grid)
# Apply smoothing
smoothed_data = smooth_data(resampled_data)
subject_data.append(smoothed_data)
for resampled_data in subject_data:
data_type[site][subjects[i]]=resampled_data
data_stats_type.append([site, subjects[i], mean_data, sd_data])
i += 1
j += 3
Normalize slice average SNR values by slice-average TFL B1+#
# Following https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.27695; here we normalize SNR maps by sin(FA), where FA is the actual FA map for the GRE SNR scan
# By normalizing we extrapolate to the SNR value that we would achive with FA = 90, ie, SNR_90 = SNR_meas/sin(FA_meas), which can be directly compated between RF coils
# Since we do not have the FA_meas (for the SNR GRE scan), we will compute it from the ratio of the measured and requested FA in the TFL B1+ scan
# FA_gre_meas = FA_gre_requested * (FA_TFL_meas/FA_TFL_requested)
# FA_TFL_meas/FA_TFL_requested was previously computed to obtain the TFL B1+ efficiency (stored in "data"), we will reconvert TFL B1+ efficiency to the FA_TFL_meas/FA_TFL_requested ratio
sites = ["CRMBM", "UCL", "MNI", "MGH", "MPI", "NTNU", "MSSM"]
# SNR along the cord is stored in a dictionary (data) of dictionaries (?) that has an array associated with each element
# The order of the dictionary is {'CRMBM': {'sub-CRMBM1': array([...]), 'sub-CRMBM2': array([...]), etc.
# The 1st dictionary corresponds to the TFL B1+ data
# The 3rd/last dictionary corresponds to the SNR data
TFLB1_data = data[0]
SNR_data = data[2]
GAMMA = 2.675e8; # [rad / (s T)]
j = 0
i = 0
for site in sites:
while i < (j+3):
os.chdir(os.path.join(path_data, f"{subjects[i]}", "fmap"))
if subjects[i]=='sub-MSSM1':
ref_voltage=450
elif subjects[i]=='sub-MSSM2':
ref_voltage=350
elif subjects[i]=='sub-MSSM3':
ref_voltage=450
else:
# Fetch the reference voltage from the JSON sidecar
with open(f"{subjects[i]}_acq-famp_TB1TFL.json", "r") as f:
metadata = json.load(f)
ref_voltage = metadata.get("TxRefAmp", "N/A")
if (ref_voltage == "N/A"):
ref_token = "N/A"
for token in metadata.get("SeriesDescription", "N/A").split("_"):
if token.startswith("RefV"): ref_token = token
ref_voltage = float(ref_token[4:-1])
# Account for the power loss between the coil and the socket. That number was given by Siemens.
voltage_at_socket = ref_voltage * 10 ** -0.095
# Fetch the requested flip angle for the SNR(GRE) scan from the JSON sidecar
with open(f"{subjects[i]}_acq-coilQaSagLarge_SNR.json", "r") as f:
metadata = json.load(f)
requested_fa = metadata.get("FlipAngle", "N/A")
# compute the actual flip angle for the SNR(GRE) scan
actual_fa = requested_fa * (TFLB1_data[site][subjects[i]]/1e9) * ((GAMMA * 1e-3 * voltage_at_socket)/np.pi)
# normalize the SNR data by the actual flip angle
data[2][site][subjects[i]] = SNR_data[site][subjects[i]]/np.sin(np.deg2rad(actual_fa))
i += 1
j += 3
Generate plots of B1+ and SNR along the cord#
sites = ["CRMBM", "UCL", "MNI", "MGH", "MPI", "NTNU", "MSSM"]
site_colors = ['cornflowerblue', 'royalblue', 'firebrick', 'darkred', 'limegreen', 'green', 'mediumpurple']
subject_names = ["Subject 1", "Subject 2", "Subject 3", "average"]
sub_linestyles = ['dotted','dashed','dashdot']
sub_colors = ['dimgray','darkgray','silver']
# figure types
fig_types = ["TFL B1+ [nT/V]", "DREAM B1+ [nT/V]", "SNR_90"]
for data_type, data_stats_type, fig_type in zip(data, data_stats, fig_types):
avg_data = {'CRMBM': 0, 'UCL': 0, 'MNI': 0, 'MGH': 0, 'MPI': 0, 'NTNU': 0, 'MSSM': 0}
fig = plt.figure()
gs = fig.add_gridspec(1, len(sites), wspace=0)
axs = gs.subplots(sharex=True, sharey=True)
fig.set_size_inches(16, 6)
j = 0
i = 0
for k, site in enumerate(sites):
l = 0
while i < (j+3):
axs[k].plot(data_type[site][subjects[i]],color=sub_colors[l], linestyle=sub_linestyles[l])
avg_data[site] += data_type[site][subjects[i]]
l += 1
i += 1
j += 3
avg_data[site] = avg_data[site]/3
axs[k].plot(avg_data[site],color="black",linestyle='solid',linewidth=1)
axs[k].set_title(sites[k], color=site_colors[k])
axs[k].grid()
axs[0].legend(subject_names,loc="upper right")
for ax in axs.flat:
ax.set(xlabel='Vertebral Levels', ylabel=fig_type, xticks=100*label_positions, xticklabels=vertebral_levels)
ax.set_xticklabels(ax.get_xticklabels(), rotation=45, ha='center')
if fig_type=="SNR_90":
ax.set_ylim(200, 1300)
else:
ax.set_ylim(0, 85)
# Hide x labels and tick labels for top plots and y ticks for right plots.
for ax in axs.flat:
ax.label_outer()
plt.show()
Generate plots of B1+ and SNR per vertebral levels#
# figure types
site_colors = ['cornflowerblue', 'royalblue', 'firebrick', 'darkred', 'limegreen', 'green', 'mediumpurple']
fig_types = ["TFL B1+ CoV [nT/V] across C1-T2", "DREAM B1+ CoV [nT/V] across C1-T2", "SNR Mean [arb] across C1-T2"]
subject_names = ["Subject 1", "Subject 2", "Subject 3"]
sub_colors = ['dimgray','darkgray','silver']
for data_stats_type, fig_type in zip(data_stats,fig_types):
series = [data_stats_type[i::len(subject_names)] for i in range(len(subject_names))]
hline_x = np.arange(len(sites))
hline_width = 0.25
stat_metric = np.zeros((len(subject_names),len(sites)))
fig, ax = plt.subplots()
i = 0
for subject_name, subject_series in zip(subject_names, series):
if fig_type == "SNR Mean [arb] across C1-T2":
# Compute mean across levels
metric_indiv = [subject_series[j][2] for j in range(len(sites))]
else:
# Compute CoV across levels
metric_indiv = [subject_series[j][3]/subject_series[j][2] for j in range(len(sites))]
ax.scatter(sites, metric_indiv, label=subject_name, color=sub_colors[i])
for xtick, site_color in zip(ax.get_xticklabels(), site_colors):
xtick.set_color(site_color)
for j in range(len(sites)):
if fig_type == "SNR Mean [arb] across C1-T2":
# Compute mean across levels and subjects
stat_metric[i][j] = subject_series[j][2]
else:
# Compute CoV across levels and subjects
stat_metric[i][j] = subject_series[j][3]/subject_series[j][2]
i+=1
plt.hlines(np.mean(stat_metric, axis=0),hline_x - hline_width/2, hline_x + hline_width/2, color="black", label="Across subj. mean")
ax.legend()
if fig_type=="SNR Mean [arb] across C1-T2":
ax.set_ylim(50, 200)
ax.get_legend().remove()
else:
ax.set_ylim(0, 0.5)
ax.set_title(fig_type)
plt.grid()
Generate maps#
Generate figures for B1+, SNR, and 1/g-factor maps obtained at each site (for one representative subject)
Co-register maps to reference site#
# Co-register subjects across sites for better visualisation
sites = ["CRMBM", "UCL", "MNI", "MGH", "MPI", "NTNU", "MSSM"]
subject_id = '3' # Subject number to generate figures from
site_ref = 'CRMBM'
vert_labels = '3' # vertebral levels for alignment between sites
files_anat = ["acq-anat_TB1TFL", "acq-famp_TB1DREAM","acq-coilQaSagLarge_SNR_T0000"] # image that serves as a reference to get the segmentation
files_metric = ["TFLTB1map", "DREAMTB1avgB1map","acq-coilQaSagLarge_SNR_T0000"] # coilQA image to display on the figure
for site in sites:
print(f"👉 PROCESSING: {site}{subject_id}")
for file_anat, file_metric in zip(files_anat, files_metric):
os.chdir(os.path.join(path_data, "sub-"+site+subject_id, "fmap"))
# Extract vertebral labels
!sct_label_utils -i sub-{site}{subject_id}_{file_anat}_seg_labeled-UNIT1reg.nii.gz -vert-body {vert_labels} -o sub-{site}{subject_id}_{file_anat}_labels.nii.gz
# Co-register data to reference subject
if site != "CRMBM":
!sct_register_multimodal \
-i sub-{site}{subject_id}_{file_metric}.nii.gz \
-iseg sub-{site}{subject_id}_{file_anat}_seg.nii.gz \
-ilabel sub-{site}{subject_id}_{file_anat}_labels.nii.gz \
-d ../../sub-{site_ref}{subject_id}/fmap/sub-{site_ref}{subject_id}_{file_metric}.nii.gz \
-dseg ../../sub-{site_ref}{subject_id}/fmap/sub-{site_ref}{subject_id}_{file_anat}_seg.nii.gz \
-dlabel ../../sub-{site_ref}{subject_id}/fmap/sub-{site_ref}{subject_id}_{file_anat}_labels.nii.gz \
-param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 \
-x nn
👉 PROCESSING: CRMBM3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-CRMBM3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-CRMBM3_acq-anat_TB1TFL_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-CRMBM3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-CRMBM3_acq-famp_TB1DREAM_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz
--
Generating output files...
👉 PROCESSING: UCL3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-UCL3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-UCL3_acq-anat_TB1TFL_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL3_TFLTB1map.nii.gz -iseg sub-UCL3_acq-anat_TB1TFL_seg.nii.gz -ilabel sub-UCL3_acq-anat_TB1TFL_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-UCL3_TFLTB1map.nii.gz (88, 144, 56)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz (88, 144, 56)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-27-56_register-wrapper_ikkwxlv6)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-8.339592218399048, -9.86110806465149, 21.72777557373047]]
Labels dest: [[2.1848278045654297, -9.81970500946045, 30.276791095733643]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 3
Function evaluations: 86
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[ 2.1848278 -9.81970501 30.2767911 ]
Translation:
[[-10.52442002 -0.04140306 -8.54901552]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-27-56_register-wrapper_ikkwxlv6
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-27-56_register-wrapper_ikkwxlv6
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-27-56_register-wrapper_ikkwxlv6
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-27-56_register-wrapper_ikkwxlv6/warp_src2dest.nii.gz warp_sub-UCL3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: warp_sub-UCL3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: sub-CRMBM3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-27-56_register-wrapper_ikkwxlv6/warp_dest2src.nii.gz warp_sub-CRMBM3_TFLTB1map2sub-UCL3_TFLTB1map.nii.gz
File created: warp_sub-CRMBM3_TFLTB1map2sub-UCL3_TFLTB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-27-56_register-wrapper_ikkwxlv6
Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-UCL3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-UCL3_acq-famp_TB1DREAM_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL3_DREAMTB1avgB1map.nii.gz -iseg sub-UCL3_acq-famp_TB1DREAM_seg.nii.gz -ilabel sub-UCL3_acq-famp_TB1DREAM_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-UCL3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-00_register-wrapper_b7ty9snn)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-5.0303497314453125, -7.522422790527344, 20.21099853515625]]
Labels dest: [[-1.1971683502197266, -9.958595275878906, 31.8045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 49
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.19716835 -9.95859528 31.80456543]
Translation:
[[ -3.83318138 2.43617249 -11.59356689]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-00_register-wrapper_b7ty9snn
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-00_register-wrapper_b7ty9snn
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-00_register-wrapper_b7ty9snn
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-UCL3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-00_register-wrapper_b7ty9snn/warp_src2dest.nii.gz warp_sub-UCL3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-UCL3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-00_register-wrapper_b7ty9snn/warp_dest2src.nii.gz warp_sub-CRMBM3_DREAMTB1avgB1map2sub-UCL3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM3_DREAMTB1avgB1map2sub-UCL3_DREAMTB1avgB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-00_register-wrapper_b7ty9snn
Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-UCL3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz -iseg sub-UCL3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -ilabel sub-UCL3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Source .............. sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-28-03_register-wrapper_3lwi77tq)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-7.430351257324219, -9.022430419921875, 21.21099853515625]]
Labels dest: [[-1.0971698760986328, -8.958587646484375, 31.3045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 3
Function evaluations: 72
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.09716988 -8.95858765 31.30456543]
Translation:
[[ -6.33318138 -0.06384277 -10.09356689]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-03_register-wrapper_3lwi77tq
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-03_register-wrapper_3lwi77tq
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-03_register-wrapper_3lwi77tq
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File sub-UCL3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-UCL3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-03_register-wrapper_3lwi77tq/warp_src2dest.nii.gz warp_sub-UCL3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-UCL3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-03_register-wrapper_3lwi77tq/warp_dest2src.nii.gz warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-UCL3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-03_register-wrapper_3lwi77tq
Finished! Elapsed time: 2s
👉 PROCESSING: MNI3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MNI3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MNI3_acq-anat_TB1TFL_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI3_TFLTB1map.nii.gz -iseg sub-MNI3_acq-anat_TB1TFL_seg.nii.gz -ilabel sub-MNI3_acq-anat_TB1TFL_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-MNI3_TFLTB1map.nii.gz (88, 144, 56)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz (88, 144, 56)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-07_register-wrapper_px2r_8el)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[2.5, -60.16667032241821, 25.972225666046143]]
Labels dest: [[2.1848278045654297, -9.81970500946045, 30.276791095733643]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 3
Function evaluations: 79
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[ 2.1848278 -9.81970501 30.2767911 ]
Translation:
[[ 0.3151722 -50.34696531 -4.30456543]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-07_register-wrapper_px2r_8el
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-07_register-wrapper_px2r_8el
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-07_register-wrapper_px2r_8el
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-07_register-wrapper_px2r_8el/warp_src2dest.nii.gz warp_sub-MNI3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: warp_sub-MNI3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: sub-CRMBM3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-07_register-wrapper_px2r_8el/warp_dest2src.nii.gz warp_sub-CRMBM3_TFLTB1map2sub-MNI3_TFLTB1map.nii.gz
File created: warp_sub-CRMBM3_TFLTB1map2sub-MNI3_TFLTB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-07_register-wrapper_px2r_8el
Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MNI3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MNI3_acq-famp_TB1DREAM_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI3_DREAMTB1avgB1map.nii.gz -iseg sub-MNI3_acq-famp_TB1DREAM_seg.nii.gz -ilabel sub-MNI3_acq-famp_TB1DREAM_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-MNI3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-11_register-wrapper_hhtw43ty)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-0.0, -58.5, 27.5]]
Labels dest: [[-1.1971683502197266, -9.958595275878906, 31.8045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 49
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.19716835 -9.95859528 31.80456543]
Translation:
[[ 1.19716835 -48.54140472 -4.30456543]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-11_register-wrapper_hhtw43ty
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-11_register-wrapper_hhtw43ty
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-11_register-wrapper_hhtw43ty
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MNI3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-11_register-wrapper_hhtw43ty/warp_src2dest.nii.gz warp_sub-MNI3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MNI3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-11_register-wrapper_hhtw43ty/warp_dest2src.nii.gz warp_sub-CRMBM3_DREAMTB1avgB1map2sub-MNI3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM3_DREAMTB1avgB1map2sub-MNI3_DREAMTB1avgB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-11_register-wrapper_hhtw43ty
Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MNI3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -iseg sub-MNI3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -ilabel sub-MNI3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Source .............. sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-28-14_register-wrapper_iz5irs2j)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-1.9073486328125e-06, -61.0, 27.0]]
Labels dest: [[-1.0971698760986328, -8.958587646484375, 31.3045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 49
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.09716988 -8.95858765 31.30456543]
Translation:
[[ 1.09716797 -52.04141235 -4.30456543]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-14_register-wrapper_iz5irs2j
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-14_register-wrapper_iz5irs2j
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-14_register-wrapper_iz5irs2j
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File sub-MNI3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-MNI3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-14_register-wrapper_iz5irs2j/warp_src2dest.nii.gz warp_sub-MNI3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MNI3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-14_register-wrapper_iz5irs2j/warp_dest2src.nii.gz warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-MNI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-14_register-wrapper_iz5irs2j
Finished! Elapsed time: 2s
👉 PROCESSING: MGH3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MGH3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MGH3_acq-anat_TB1TFL_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH3_TFLTB1map.nii.gz -iseg sub-MGH3_acq-anat_TB1TFL_seg.nii.gz -ilabel sub-MGH3_acq-anat_TB1TFL_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-MGH3_TFLTB1map.nii.gz (88, 144, 56)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz (88, 144, 56)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-19_register-wrapper_2x4zsxnq)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-3.120776653289795, -73.15208745002747, 33.21037411689758]]
Labels dest: [[2.1848278045654297, -9.81970500946045, 30.276791095733643]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 50
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[ 2.1848278 -9.81970501 30.2767911 ]
Translation:
[[ -5.30560446 -63.33238244 2.93358302]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-19_register-wrapper_2x4zsxnq
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-19_register-wrapper_2x4zsxnq
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-19_register-wrapper_2x4zsxnq
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-19_register-wrapper_2x4zsxnq/warp_src2dest.nii.gz warp_sub-MGH3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: warp_sub-MGH3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: sub-CRMBM3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-19_register-wrapper_2x4zsxnq/warp_dest2src.nii.gz warp_sub-CRMBM3_TFLTB1map2sub-MGH3_TFLTB1map.nii.gz
File created: warp_sub-CRMBM3_TFLTB1map2sub-MGH3_TFLTB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-19_register-wrapper_2x4zsxnq
Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MGH3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MGH3_acq-famp_TB1DREAM_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH3_DREAMTB1avgB1map.nii.gz -iseg sub-MGH3_acq-famp_TB1DREAM_seg.nii.gz -ilabel sub-MGH3_acq-famp_TB1DREAM_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-MGH3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-23_register-wrapper_r5vspo4h)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-5.2213897705078125, -72.7152099609375, 34.10382080078125]]
Labels dest: [[-1.1971683502197266, -9.958595275878906, 31.8045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 49
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.19716835 -9.95859528 31.80456543]
Translation:
[[ -4.02422142 -62.75661469 2.29925537]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-23_register-wrapper_r5vspo4h
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-23_register-wrapper_r5vspo4h
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-23_register-wrapper_r5vspo4h
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MGH3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-23_register-wrapper_r5vspo4h/warp_src2dest.nii.gz warp_sub-MGH3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MGH3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-23_register-wrapper_r5vspo4h/warp_dest2src.nii.gz warp_sub-CRMBM3_DREAMTB1avgB1map2sub-MGH3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM3_DREAMTB1avgB1map2sub-MGH3_DREAMTB1avgB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-23_register-wrapper_r5vspo4h
Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MGH3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz -iseg sub-MGH3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -ilabel sub-MGH3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Source .............. sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz (255, 256, 13)
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-28-26_register-wrapper_doyvbxbx)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-6.600725173950195, -72.59494018678092, 33.02645874107911]]
Labels dest: [[-1.0971698760986328, -8.958587646484375, 31.3045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 49
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.09716988 -8.95858765 31.30456543]
Translation:
[[ -5.5035553 -63.63635254 1.72189331]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-26_register-wrapper_doyvbxbx
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-26_register-wrapper_doyvbxbx
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-26_register-wrapper_doyvbxbx
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File sub-MGH3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-MGH3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-26_register-wrapper_doyvbxbx/warp_src2dest.nii.gz warp_sub-MGH3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MGH3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-26_register-wrapper_doyvbxbx/warp_dest2src.nii.gz warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-MGH3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-26_register-wrapper_doyvbxbx
Finished! Elapsed time: 2s
👉 PROCESSING: MPI3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MPI3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MPI3_acq-anat_TB1TFL_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI3_TFLTB1map.nii.gz -iseg sub-MPI3_acq-anat_TB1TFL_seg.nii.gz -ilabel sub-MPI3_acq-anat_TB1TFL_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-MPI3_TFLTB1map.nii.gz (90, 144, 56)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz (88, 144, 56)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-30_register-wrapper_y0mijn2v)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-6.205670356750488, -71.6954779624939, 26.370842456817627]]
Labels dest: [[2.1848278045654297, -9.81970500946045, 30.276791095733643]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 50
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[ 2.1848278 -9.81970501 30.2767911 ]
Translation:
[[ -8.39049816 -61.87577295 -3.90594864]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-30_register-wrapper_y0mijn2v
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-30_register-wrapper_y0mijn2v
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-30_register-wrapper_y0mijn2v
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-30_register-wrapper_y0mijn2v/warp_src2dest.nii.gz warp_sub-MPI3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: warp_sub-MPI3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: sub-CRMBM3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-30_register-wrapper_y0mijn2v/warp_dest2src.nii.gz warp_sub-CRMBM3_TFLTB1map2sub-MPI3_TFLTB1map.nii.gz
File created: warp_sub-CRMBM3_TFLTB1map2sub-MPI3_TFLTB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-30_register-wrapper_y0mijn2v
Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MPI3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MPI3_acq-famp_TB1DREAM_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI3_DREAMTB1avgB1map.nii.gz -iseg sub-MPI3_acq-famp_TB1DREAM_seg.nii.gz -ilabel sub-MPI3_acq-famp_TB1DREAM_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-MPI3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-34_register-wrapper_bjqgy2wz)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-9.586259841918945, -71.69548034667969, 28.870834350585938]]
Labels dest: [[-1.1971683502197266, -9.958595275878906, 31.8045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 50
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.19716835 -9.95859528 31.80456543]
Translation:
[[ -8.38909149 -61.73688507 -2.93373108]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-34_register-wrapper_bjqgy2wz
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-34_register-wrapper_bjqgy2wz
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-34_register-wrapper_bjqgy2wz
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MPI3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-34_register-wrapper_bjqgy2wz/warp_src2dest.nii.gz warp_sub-MPI3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MPI3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-34_register-wrapper_bjqgy2wz/warp_dest2src.nii.gz warp_sub-CRMBM3_DREAMTB1avgB1map2sub-MPI3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM3_DREAMTB1avgB1map2sub-MPI3_DREAMTB1avgB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-34_register-wrapper_bjqgy2wz
Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MPI3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz -iseg sub-MPI3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -ilabel sub-MPI3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Source .............. sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz (255, 256, 13)
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-28-37_register-wrapper_v988rog_)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-7.086261749267578, -64.19546508789062, 27.370849609375]]
Labels dest: [[-1.0971698760986328, -8.958587646484375, 31.3045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 50
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.09716988 -8.95858765 31.30456543]
Translation:
[[ -5.98909187 -55.23687744 -3.93371582]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-37_register-wrapper_v988rog_
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-37_register-wrapper_v988rog_
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-37_register-wrapper_v988rog_
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File sub-MPI3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-MPI3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-37_register-wrapper_v988rog_/warp_src2dest.nii.gz warp_sub-MPI3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MPI3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-37_register-wrapper_v988rog_/warp_dest2src.nii.gz warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-MPI3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-37_register-wrapper_v988rog_
Finished! Elapsed time: 2s
👉 PROCESSING: NTNU3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-NTNU3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-NTNU3_acq-anat_TB1TFL_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU3_TFLTB1map.nii.gz -iseg sub-NTNU3_acq-anat_TB1TFL_seg.nii.gz -ilabel sub-NTNU3_acq-anat_TB1TFL_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-NTNU3_TFLTB1map.nii.gz (88, 144, 56)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz (88, 144, 56)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-41_register-wrapper_bz6c4g71)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[1.8448920249938965, -64.28926753997803, 38.56809759140015]]
Labels dest: [[2.1848278045654297, -9.81970500946045, 30.276791095733643]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 3
Function evaluations: 80
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[ 2.1848278 -9.81970501 30.2767911 ]
Translation:
[[ -0.33993578 -54.46956253 8.2913065 ]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-41_register-wrapper_bz6c4g71
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-41_register-wrapper_bz6c4g71
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-41_register-wrapper_bz6c4g71
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-41_register-wrapper_bz6c4g71/warp_src2dest.nii.gz warp_sub-NTNU3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: warp_sub-NTNU3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: sub-CRMBM3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-41_register-wrapper_bz6c4g71/warp_dest2src.nii.gz warp_sub-CRMBM3_TFLTB1map2sub-NTNU3_TFLTB1map.nii.gz
File created: warp_sub-CRMBM3_TFLTB1map2sub-NTNU3_TFLTB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-41_register-wrapper_bz6c4g71
Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-NTNU3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-NTNU3_acq-famp_TB1DREAM_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU3_DREAMTB1avgB1map.nii.gz -iseg sub-NTNU3_acq-famp_TB1DREAM_seg.nii.gz -ilabel sub-NTNU3_acq-famp_TB1DREAM_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-NTNU3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-45_register-wrapper_9hvspgh0)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-1.5000553131103516, -62.90037536621094, 38.15143585205078]]
Labels dest: [[-1.1971683502197266, -9.958595275878906, 31.8045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 3
Function evaluations: 108
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.19716835 -9.95859528 31.80456543]
Translation:
[[ -0.30288696 -52.94178009 6.34687042]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-45_register-wrapper_9hvspgh0
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-45_register-wrapper_9hvspgh0
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-45_register-wrapper_9hvspgh0
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-NTNU3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-45_register-wrapper_9hvspgh0/warp_src2dest.nii.gz warp_sub-NTNU3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-NTNU3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-45_register-wrapper_9hvspgh0/warp_dest2src.nii.gz warp_sub-CRMBM3_DREAMTB1avgB1map2sub-NTNU3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM3_DREAMTB1avgB1map2sub-NTNU3_DREAMTB1avgB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-45_register-wrapper_9hvspgh0
Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz -iseg sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -ilabel sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Source .............. sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-28-48_register-wrapper_c9z2wvxe)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[-1.5000572204589844, -66.40036010742188, 39.15142822265625]]
Labels dest: [[-1.0971698760986328, -8.958587646484375, 31.3045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 3
Function evaluations: 72
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.09716988 -8.95858765 31.30456543]
Translation:
[[ -0.40288734 -57.44177246 7.84686279]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-48_register-wrapper_c9z2wvxe
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-48_register-wrapper_c9z2wvxe
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-48_register-wrapper_c9z2wvxe
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-48_register-wrapper_c9z2wvxe/warp_src2dest.nii.gz warp_sub-NTNU3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-NTNU3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-48_register-wrapper_c9z2wvxe/warp_dest2src.nii.gz warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-NTNU3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-48_register-wrapper_c9z2wvxe
Finished! Elapsed time: 2s
👉 PROCESSING: MSSM3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MSSM3_acq-anat_TB1TFL_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MSSM3_acq-anat_TB1TFL_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM3_TFLTB1map.nii.gz -iseg sub-MSSM3_acq-anat_TB1TFL_seg.nii.gz -ilabel sub-MSSM3_acq-anat_TB1TFL_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-MSSM3_TFLTB1map.nii.gz (88, 128, 56)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_TFLTB1map.nii.gz (88, 144, 56)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-52_register-wrapper_0bpjqvub)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[5.0, -25.0, 35.0]]
Labels dest: [[2.1848278045654297, -9.81970500946045, 30.276791095733643]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 50
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[ 2.1848278 -9.81970501 30.2767911 ]
Translation:
[[ 2.8151722 -15.18029499 4.7232089 ]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-52_register-wrapper_0bpjqvub
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-52_register-wrapper_0bpjqvub
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-52_register-wrapper_0bpjqvub
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-52_register-wrapper_0bpjqvub/warp_src2dest.nii.gz warp_sub-MSSM3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: warp_sub-MSSM3_TFLTB1map2sub-CRMBM3_TFLTB1map.nii.gz
File created: sub-CRMBM3_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-52_register-wrapper_0bpjqvub/warp_dest2src.nii.gz warp_sub-CRMBM3_TFLTB1map2sub-MSSM3_TFLTB1map.nii.gz
File created: warp_sub-CRMBM3_TFLTB1map2sub-MSSM3_TFLTB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-52_register-wrapper_0bpjqvub
Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MSSM3_acq-famp_TB1DREAM_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MSSM3_acq-famp_TB1DREAM_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM3_DREAMTB1avgB1map.nii.gz -iseg sub-MSSM3_acq-famp_TB1DREAM_seg.nii.gz -ilabel sub-MSSM3_acq-famp_TB1DREAM_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Source .............. sub-MSSM3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_DREAMTB1avgB1map.nii.gz (80, 80, 11)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Creating temporary folder (/tmp/sct_2024-11-05_21-28-57_register-wrapper_zw9qm03f)
Copying input data to tmp folder and convert to nii...
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[2.5, -25.5, 37.5]]
Labels dest: [[-1.1971683502197266, -9.958595275878906, 31.8045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 50
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.19716835 -9.95859528 31.80456543]
Translation:
[[ 3.69716835 -15.54140472 5.69543457]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-57_register-wrapper_zw9qm03f
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-57_register-wrapper_zw9qm03f
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-57_register-wrapper_zw9qm03f
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File created: sub-MSSM3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-57_register-wrapper_zw9qm03f/warp_src2dest.nii.gz warp_sub-MSSM3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MSSM3_DREAMTB1avgB1map2sub-CRMBM3_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM3_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-57_register-wrapper_zw9qm03f/warp_dest2src.nii.gz warp_sub-CRMBM3_DREAMTB1avgB1map2sub-MSSM3_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM3_DREAMTB1avgB1map2sub-MSSM3_DREAMTB1avgB1map.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-57_register-wrapper_zw9qm03f
Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_label_utils -i sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg_labeled-UNIT1reg.nii.gz -vert-body 3 -o sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_register_multimodal -i sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -iseg sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -ilabel sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -d ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -dseg ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz -dlabel ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_labels.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=seg,iter=0 -x nn
--
Input parameters:
Source .............. sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz (205, 256, 13)
Destination ......... ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz (256, 256, 13)
Init transfo ........
Mask ................
Output name .........
Remove temp files ... 1
Verbose ............. 1
Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-28-59_register-wrapper_eynouqvl)
Copying input data to tmp folder and convert to nii...
--
ESTIMATE TRANSFORMATION FOR STEP #0
Registration parameters:
type ........... label
algo ........... syn
slicewise ...... 0
metric ......... MI
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz
smoothWarpXY ... 2
rot_method ..... pca
Parameter 'algo=syn' has no effect for 'type=label' registration.
Labels src: [[2.3999977111816406, -26.499999955389995, 36.99999996831152]]
Labels dest: [[-1.0971698760986328, -8.958587646484375, 31.3045654296875]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
Current function value: 0.000000
Iterations: 2
Function evaluations: 50
Matrix:
[[ 1. 0. 0.]
[ 0. 1. 0.]
[-0. 0. 1.]]
Center:
[-1.09716988 -8.95858765 31.30456543]
Translation:
[[ 3.49716759 -17.54141231 5.69543454]]
--
ESTIMATE TRANSFORMATION FOR STEP #1
Apply transformation from previous step
Registration parameters:
type ........... seg
algo ........... syn
slicewise ...... 0
metric ......... MeanSquares
samplStrategy .. None
samplPercent ... 0.2
iter ........... 0
smooth ......... 0
laplacian ...... 0
shrink ......... 1
gradStep ....... 0.5
deformation .... 1x1x0
init ...........
poly ........... 5
filter_size .... 5
dof ............ Tx_Ty_Tz_Rx_Ry_Rz
smoothWarpXY ... 2
rot_method ..... pca
Estimate transformation
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsRegistration --dimensionality 3 --transform 'syn[0.5,3,0]' --metric 'MeanSquares[dest_seg_RPI.nii,src_seg_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_seg_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-28-59_register-wrapper_eynouqvl
Concatenate transformations...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_src2dest.nii.gz -R dest.nii warp_forward_1.nii.gz warp_forward_0.txt # in /tmp/sct_2024-11-05_21-28-59_register-wrapper_eynouqvl
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_ComposeMultiTransform 3 warp_dest2src.nii.gz -R src.nii -i warp_forward_0.txt warp_inverse_1.nii.gz # in /tmp/sct_2024-11-05_21-28-59_register-wrapper_eynouqvl
Apply transfo source --> dest...
Apply transfo dest --> source...
Generate output files...
File sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-59_register-wrapper_eynouqvl/warp_src2dest.nii.gz warp_sub-MSSM3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MSSM3_acq-coilQaSagLarge_SNR_T00002sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-28-59_register-wrapper_eynouqvl/warp_dest2src.nii.gz warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM3_acq-coilQaSagLarge_SNR_T00002sub-MSSM3_acq-coilQaSagLarge_SNR_T0000.nii.gz
Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-28-59_register-wrapper_eynouqvl
Finished! Elapsed time: 2s
Align spinal cord with the medial plane#
For visualization purpose, such that the sagittal views show the spinal cord throughout the whole superior-inferior axis.
# Flatten the spinal cord (ie, being it into the sagittal midline)
for site in sites:
print(f"👉 PROCESSING: {site}{subject_id}")
for file_anat, file_metric in zip(files_anat, files_metric):
os.chdir(os.path.join(path_data, "sub-"+site+subject_id, "fmap"))
if site == site_ref:
suffix = ""
else:
suffix = "_reg"
# Flatten the spinal cord in the sagittal plane
!sct_flatten_sagittal -i sub-{site}{subject_id}_{file_metric}{suffix}.nii.gz -s ../../sub-{site_ref}{subject_id}/fmap/sub-{site_ref}{subject_id}_{file_anat}_seg.nii.gz
👉 PROCESSING: CRMBM3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-CRMBM3_TFLTB1map.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz
--
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-CRMBM3_DREAMTB1avgB1map.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz
--
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'int16'. Header metadata will be overwritten to use 'int16'.
👉 PROCESSING: UCL3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-UCL3_TFLTB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-UCL3_DREAMTB1avgB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-UCL3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
👉 PROCESSING: MNI3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MNI3_TFLTB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MNI3_DREAMTB1avgB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MNI3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
👉 PROCESSING: MGH3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MGH3_TFLTB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MGH3_DREAMTB1avgB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MGH3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
👉 PROCESSING: MPI3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MPI3_TFLTB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MPI3_DREAMTB1avgB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MPI3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
👉 PROCESSING: NTNU3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-NTNU3_TFLTB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-NTNU3_DREAMTB1avgB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-NTNU3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
👉 PROCESSING: MSSM3
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MSSM3_TFLTB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-anat_TB1TFL_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MSSM3_DREAMTB1avgB1map_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-famp_TB1DREAM_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)
sct_flatten_sagittal -i sub-MSSM3_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -s ../../sub-CRMBM3/fmap/sub-CRMBM3_acq-coilQaSagLarge_SNR_T0000_seg.nii.gz
--
Image header specifies datatype 'float32', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Generate B1+ and SNR maps#
site_colors = ['cornflowerblue', 'royalblue', 'firebrick', 'darkred', 'limegreen', 'green', 'mediumpurple']
# legend types
legend_types = ["[nT/V]", "[nT/V]", "[arb]", "[arb]", "[arb]"]
# Define the slicing indices for each combination of file_metric and ind_subject
# The indices are defined as (x(min, max), y(min, max))
slicing_indices = {
"TFLTB1map": {
'1': (slice(31, 82), slice(43, 93)),
'2': (slice(28, 71), slice(37, 94)),
'3': (slice(25, 77), slice(35, 100))
},
"DREAMTB1avgB1map": {
'1': (slice(29, 60), slice(13, 66)),
'2': (slice(20, 65), slice(6, 56)),
'3': (slice(25, 72), slice(0, 60))
},
"acq-coilQaSagLarge_SNR_T0000": {
'1': (slice(224, 302), slice(213, 292)),
'2': (slice(224, 302), slice(197, 289)),
'3': (slice(100, 178), slice(55, 160))
}
}
# Define the dynmax values for each file_metric
dynmax_values = {
"TFLTB1map": 60,
"DREAMTB1avgB1map": 60,
"acq-coilQaSagLarge_SNR_T0000": 200
}
for file_metric, legend_type in zip(files_metric, legend_types):
# Create a figure with multiple subplots
fig, axes = plt.subplots(2, 4)#, figsize=(10, 8))
font_size = 12
axes=axes.flatten()
for i,site in enumerate(sites):
# Load data
os.chdir(os.path.join(path_data, f"sub-{site}{subject_id}", "fmap"))
if site == site_ref:
suffix = ""
else:
suffix = "_reg"
map = nib.load(f"sub-{site}{subject_id}_{file_metric}{suffix}_flatten.nii.gz")
# map = nib.load(f"sub-{site}{ind_subject}_{file_metric}{suffix}.nii.gz")
slices = slicing_indices[file_metric][subject_id]
data = map.get_fdata()[slices[0], slices[1], round(map.get_fdata().shape[2] / 2)]
# Figure configuration
axes[-1].axis('off')
# Defining dynamic range
axes[-1].axis('off')
dynmin = 0
dynmax = dynmax_values[file_metric]
splot=axes[i]
im = splot.imshow((data.T), cmap='viridis', origin='lower',vmin=dynmin,vmax=dynmax)
splot.set_title(site, size=font_size,color=site_colors[i])
splot.axis('off')
plt.tight_layout()
# Colorbar
# Assume that the colorbar should start at the bottom of the lower row of subplots and
# extend to the top of the upper row of subplots
cbar_bottom = 0.25 # This might need adjustment
cbar_height = 0.5 # This represents the total height of both rows of subplots
cbar_dist = 1.01
cbar_ax = fig.add_axes([cbar_dist, cbar_bottom, 0.03, cbar_height])
cbar = plt.colorbar(im, cax=cbar_ax)
cbar_ax.set_title(legend_type, size=12)
plt.show()
Generate g-factor maps#
# map types
map_types = ["acq-coilQaSagSmall_GFactor", "T2starw"]
# legend types
legend_types = ["1/g", "[arb]"]
# Select individual subject to show
ind_subject = '2' # Here we select subject 2 because it has the most complete data
mean_gfac = {}
max_gfac = {}
for map_type, legend_type in zip(map_types,legend_types):
# Create a figure with multiple subplots
fig, axes = plt.subplots(2, 4, figsize=(10, 8))
font_size = 12
axes=axes.flatten()
for i,site in enumerate(sites):
# Load data
if map_type=="T2starw":
os.chdir(os.path.join(path_data, f"sub-{site}{ind_subject}", "anat"))
map=nib.load(f"sub-{site}{ind_subject}_{map_type}.nii.gz")
data=map.get_fdata()[:,:,round(map.get_fdata().shape[2]/2)]
else:
os.chdir(os.path.join(path_data, f"sub-{site}{ind_subject}", "fmap"))
map=nib.load(f"sub-{site}{ind_subject}_{map_type}.nii.gz")
# The 4th dimension inlcudes 12 acceleration maps:
#['R 2','R 3', 'R 4', 'R 6', 'R 8', 'R 2 x 2', 'R 2 x 3', 'R 3 x 2', 'R 3 x 3', 'R 3 x 4', 'R 4 x 3', 'R 4 x 4']
# show the R = 2 x 2 map
data=(map.get_fdata()[64:191,64:191,round(map.get_fdata().shape[2]/2),5])/1000
gfac_data=(map.get_fdata()[round(map.get_fdata().shape[0]/2)-10:round(map.get_fdata().shape[0]/2)+10,round(map.get_fdata().shape[1]/2)-10:round(map.get_fdata().shape[1]/2)+10,round(map.get_fdata().shape[2]/2),5])
mean_gfac[site]=np.nanmean(gfac_data)/1000
max_gfac[site]=np.max(gfac_data)/1000
# Plot
splot=axes[i]
dynmin = 0
if map_type=="acq-coilQaSagSmall_GFactor":
dynmax = 1
axes[-1].axis('off')
splot.text(0, 3, r'mean 1/g='+str(round(mean_gfac[site],4)), size=10)
#splot.text(0, 12, r'max gfac='+str(round(max_gfac[site],3)), size=10)
x = [data.shape[0]/2-10, data.shape[1]/2-10]
y = [data.shape[0]/2-10, data.shape[1]/2+10]
splot.plot(x, y, color="black", linewidth=2)
x = [data.shape[0]/2-10, data.shape[1]/2+10]
y = [data.shape[0]/2+10, data.shape[1]/2+10]
splot.plot(x, y, color="black", linewidth=2)
x = [data.shape[0]/2+10, data.shape[1]/2+10]
y = [data.shape[0]/2+10, data.shape[1]/2-10]
splot.plot(x, y, color="black", linewidth=2)
x = [data.shape[0]/2+10, data.shape[1]/2-10]
y = [data.shape[0]/2-10, data.shape[1]/2-10]
splot.plot(x, y, color="black", linewidth=2)
else:
dynmax = 3000
axes[-1].axis('off')
im = splot.imshow((data.T), cmap='viridis', origin='lower',vmin=dynmin,vmax=dynmax)
splot.set_title(site, size=font_size,color=site_colors[i])
splot.axis('off')
plt.tight_layout()
# Colorbar
# Assume that the colorbar should start at the bottom of the lower row of subplots and
# extend to the top of the upper row of subplots
cbar_bottom = 0.25 # This might need adjustment
cbar_height = 0.5 # This represents the total height of both rows of subplots
cbar_dist = 1.01
cbar_ax = fig.add_axes([cbar_dist, cbar_bottom, 0.03, cbar_height])
cbar = plt.colorbar(im, cax=cbar_ax)
cbar_ax.set_title(legend_type, size=12)
plt.show()
Generate tiled figure with individual channel on GRE scans#
sites = ["CRMBM", "UCL", "MNI", "MGH", "MPI", "NTNU", "MSSM"]
# Select subject to show
subject = '1' # and here we select subject 1 because it has the most complete data
for i,site in enumerate(sites):
gre_files=sorted(glob.glob(os.path.join(path_data, f"sub-{site}{subject}", "anat", '*uncombined*.nii.gz')))
#Tiled figure in a five-row layout
rows=int(np.ceil(len(gre_files)/4))
cols=int(np.ceil(len(gre_files)/rows))
fig=plt.figure(figsize=(15, 20))
ax = fig.subplots(rows,cols,squeeze=True)
for row in range(rows):
for col in range(cols):
i = row*cols+col
if i < len(gre_files):
#read in files
data_to_plot=(nib.load(gre_files[i])).get_fdata() #load in nifti object, get only image data
data_to_plot=np.rot90(data_to_plot[:,:,int(np.floor(data_to_plot.shape[2]/2))]) #central slice
ax[row,col].imshow(data_to_plot,cmap=plt.cm.gray,clim=[0, 300])
ax[row,col].text(0.5, 0.05, 'Rx channel : ' + str(i+1),horizontalalignment='center', transform=ax[row,col].transAxes,color='white',fontsize=17)
ax[row,col].axis('off')
plt.axis('off')
plt.subplots_adjust(hspace=0,wspace=0)
fig.suptitle(site, fontsize=20, y=0.9)
Finished#
# Indicate duration of data processing
end_time = datetime.now()
total_time = (end_time - start_time).total_seconds()
# Convert seconds to a timedelta object
total_time_delta = timedelta(seconds=total_time)
# Format the timedelta object to a string
formatted_time = str(total_time_delta)
# Pad the string representation if less than an hour
formatted_time = formatted_time.rjust(8, '0')
print(f"Total Runtime [hour:min:sec]: {formatted_time}")
Total Runtime [hour:min:sec]: 1:23:27.106860