7T coil comparison: processing of phantom data#

Setup environment#

# 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

# Define constants
GAMMA = 2.675e8;  # [rad / (s T)]

%matplotlib inline

start_time = datetime.now()
# Download data from OpenNeuro ⏳

!openneuro-py download --dataset ds005090 --target-dir data-phantom/
👋 Hello! This is openneuro-py 2024.2.0. Great to see you! 🤗

   👉 Please report problems 🤯 and bugs 🪲 at
      https://github.com/hoechenberger/openneuro-py/issues

🌍 Preparing to download ds005090 …
📁 Traversing directories for ds005090 : 0 entities [00:00, ? entities/s]
📁 Traversing directories for ds005090 : 5 entities [00:00,  9.42 entities/s]
📁 Traversing directories for ds005090 : 23 entities [00:00, 40.28 entities/s]
📁 Traversing directories for ds005090 : 45 entities [00:01, 49.74 entities/s]
📁 Traversing directories for ds005090 : 105 entities [00:01, 87.98 entities/s]
📁 Traversing directories for ds005090 : 147 entities [00:01, 126.61 entities/s]
📁 Traversing directories for ds005090 : 169 entities [00:01, 122.26 entities/s]
📁 Traversing directories for ds005090 : 219 entities [00:02, 150.96 entities/s]
📁 Traversing directories for ds005090 : 241 entities [00:02, 145.28 entities/s]
📁 Traversing directories for ds005090 : 307 entities [00:02, 182.87 entities/s]
📁 Traversing directories for ds005090 : 379 entities [00:02, 200.23 entities/s]
📁 Traversing directories for ds005090 : 400 entities [00:02, 201.34 entities/s]
📁 Traversing directories for ds005090 : 418 entities [00:02, 143.21 entities/s]
📥 Retrieving up to 418 files (5 concurrent downloads). 
.bidsignore:   0%|                                   | 0.00/92.0 [00:00<?, ?B/s]
                                                                                

CHANGES:   0%|                                       | 0.00/91.0 [00:00<?, ?B/s]
                                                                                
dataset_description.json:   0%|                       | 0.00/314 [00:00<?, ?B/s]
                                                                                
sub-CRMBM_rec-uncombined1_T2starw.json:   0%|       | 0.00/2.43k [00:00<?, ?B/s]
                                                                                

participants.tsv:   0%|                               | 0.00/313 [00:00<?, ?B/s]

sub-CRMBM_T2starw.json:   0%|                       | 0.00/2.42k [00:00<?, ?B/s]
                                                                                


                                                                                
sub-CRMBM_rec-uncombined2_T2starw.nii.gz:   0%|      | 0.00/737k [00:00<?, ?B/s]

sub-CRMBM_T2starw.nii.gz:   0%|                      | 0.00/864k [00:00<?, ?B/s]
                                                                                


sub-CRMBM_T2starw.nii.gz:  43%|██████        | 373k/864k [00:00<00:00, 3.15MB/s]
sub-CRMBM_rec-uncombined2_T2starw.json:   0%|       | 0.00/2.43k [00:00<?, ?B/s]
                                                                                
sub-CRMBM_rec-uncombined1_T2starw.nii.gz:   0%|      | 0.00/676k [00:00<?, ?B/s]


sub-CRMBM_rec-uncombined3_T2starw.json:   0%|       | 0.00/2.43k [00:00<?, ?B/s]


                                                                                
                                                                                
sub-CRMBM_rec-uncombined1_T2starw.nii.gz:  50%|▌| 339k/676k [00:00<00:00, 3.00MB
                                                                                
sub-CRMBM_rec-uncombined5_T2starw.json:   0%|       | 0.00/2.43k [00:00<?, ?B/s]
                                                                                

sub-CRMBM_rec-uncombined3_T2starw.nii.gz:   0%|      | 0.00/799k [00:00<?, ?B/s]

sub-CRMBM_rec-uncombined4_T2starw.nii.gz:   0%|      | 0.00/700k [00:00<?, ?B/s]


sub-CRMBM_rec-uncombined4_T2starw.json:   0%|       | 0.00/2.43k [00:00<?, ?B/s]


                                                                                
sub-CRMBM_rec-uncombined4_T2starw.nii.gz:  44%|▍| 305k/700k [00:00<00:00, 3.08MB
sub-CRMBM_rec-uncombined3_T2starw.nii.gz:  38%|▍| 306k/799k [00:00<00:00, 2.99MB
sub-CRMBM_rec-uncombined5_T2starw.nii.gz:   0%|      | 0.00/707k [00:00<?, ?B/s]

                                                                                

sub-CRMBM_rec-uncombined7_T2starw.json:   0%|       | 0.00/2.43k [00:00<?, ?B/s]

                                                                                
sub-CRMBM_rec-uncombined7_T2starw.nii.gz:   0%|      | 0.00/606k [00:00<?, ?B/s]
sub-CRMBM_rec-uncombined3_T2starw.nii.gz:  96%|▉| 766k/799k [00:00<00:00, 3.97MB
                                                                                
sub-CRMBM_rec-uncombined5_T2starw.nii.gz:  21%|▏| 152k/707k [00:00<00:00, 1.35MB
                                                                                


                                                                                
sub-CRMBM_rec-uncombined6_T2starw.json:   0%|       | 0.00/2.43k [00:00<?, ?B/s]
                                                                                
sub-CRMBM_rec-uncombined6_T2starw.nii.gz:   0%|      | 0.00/677k [00:00<?, ?B/s]
sub-CRMBM_rec-uncombined8_T2starw.json:   0%|       | 0.00/2.43k [00:00<?, ?B/s]

                                                                                

sub-CRMBM_rec-uncombined8_T2starw.nii.gz:   0%|      | 0.00/639k [00:00<?, ?B/s]
sub-CRMBM_rec-uncombined6_T2starw.nii.gz:  75%|▊| 509k/677k [00:00<00:00, 5.14MB
sub-CRMBM_acq-coilQaSagLarge_SNR.json:   0%|        | 0.00/2.18k [00:00<?, ?B/s]



sub-CRMBM_acq-anat_TB1TFL.nii.gz:   0%|              | 0.00/833k [00:00<?, ?B/s]


                                                                                
                                                                                
sub-CRMBM_rec-uncombined8_T2starw.nii.gz:  29%|▎| 186k/639k [00:00<00:00, 1.69MB
sub-CRMBM_acq-anat_TB1TFL.nii.gz:  45%|██▋   | 374k/833k [00:00<00:00, 3.82MB/s]

                                                                                
                                                                                
sub-CRMBM_acq-anat_TB1TFL.json:   0%|               | 0.00/2.66k [00:00<?, ?B/s]
                                                                                
sub-CRMBM_acq-coilQaTra_GFactor.nii.gz:   0%|       | 0.00/11.7M [00:00<?, ?B/s]
sub-CRMBM_acq-coilQaSagSmall_GFactor.json:   0%|    | 0.00/2.18k [00:00<?, ?B/s]

                                                                                
sub-CRMBM_acq-coilQaTra_GFactor.nii.gz:   4%| | 458k/11.7M [00:00<00:02, 4.51MB/

sub-CRMBM_acq-coilQaSagSmall_GFactor.nii.gz:   0%|  | 0.00/2.65M [00:00<?, ?B/s]


sub-CRMBM_acq-coilQaTra_GFactor.json:   0%|         | 0.00/2.07k [00:00<?, ?B/s]



sub-CRMBM_acq-coilQaSagLarge_SNR.nii.gz:   0%|      | 0.00/3.88M [00:00<?, ?B/s]


                                                                                
sub-CRMBM_acq-coilQaTra_GFactor.nii.gz:  14%|▏| 1.66M/11.7M [00:00<00:01, 9.25MB

sub-CRMBM_acq-coilQaSagSmall_GFactor.nii.gz:  16%|▏| 442k/2.65M [00:00<00:00, 4.



sub-CRMBM_acq-coilQaSagLarge_SNR.nii.gz:   8%| | 305k/3.88M [00:00<00:01, 3.02MB
sub-CRMBM_acq-famp_TB1DREAM.json:   0%|             | 0.00/2.13k [00:00<?, ?B/s]


                                                                                
sub-CRMBM_acq-coilQaTra_GFactor.nii.gz:  24%|▏| 2.77M/11.7M [00:00<00:00, 10.3MB

sub-CRMBM_acq-coilQaSagSmall_GFactor.nii.gz:  44%|▍| 1.16M/2.65M [00:00<00:00, 6



sub-CRMBM_acq-coilQaSagLarge_SNR.nii.gz:  25%|▎| 0.98M/3.88M [00:00<00:00, 5.40M
sub-CRMBM_acq-famp-0.66_TB1DREAM.json:   0%|        | 0.00/2.15k [00:00<?, ?B/s]


                                                                                
sub-CRMBM_acq-coilQaSagSmall_GFactor.nii.gz:  84%|▊| 2.21M/2.65M [00:00<00:00, 8
sub-CRMBM_acq-coilQaTra_GFactor.nii.gz:  35%|▎| 4.12M/11.7M [00:00<00:00, 11.5MB



sub-CRMBM_acq-coilQaSagLarge_SNR.nii.gz:  44%|▍| 1.73M/3.88M [00:00<00:00, 6.47M
                                                                                

sub-CRMBM_acq-famp-1.5_TB1DREAM.nii.gz:   0%|       | 0.00/91.4k [00:00<?, ?B/s]
                                                                                
sub-CRMBM_acq-coilQaTra_GFactor.nii.gz:  45%|▍| 5.34M/11.7M [00:00<00:00, 11.2MB



sub-CRMBM_acq-coilQaSagLarge_SNR.nii.gz:  68%|▋| 2.62M/3.88M [00:00<00:00, 7.15M
                                                                                
sub-CRMBM_acq-coilQaTra_GFactor.nii.gz:  63%|▋| 7.38M/11.7M [00:00<00:00, 14.5MB
sub-CRMBM_acq-famp-1.5_TB1DREAM.json:   0%|         | 0.00/2.14k [00:00<?, ?B/s]

                                                                                

sub-CRMBM_acq-famp-0.66_TB1DREAM.nii.gz:   0%|      | 0.00/90.7k [00:00<?, ?B/s]
                                                                                
sub-CRMBM_acq-coilQaTra_GFactor.nii.gz:  89%|▉| 10.4M/11.7M [00:00<00:00, 18.7MB

sub-CRMBM_acq-famp_TB1DREAM.nii.gz:   0%|           | 0.00/90.9k [00:00<?, ?B/s]
                                                                                
                                                                                
sub-CRMBM_acq-refv-0.66_TB1DREAM.json:   0%|        | 0.00/2.16k [00:00<?, ?B/s]
                                                                                
sub-CRMBM_acq-famp_TB1TFL.json:   0%|               | 0.00/2.69k [00:00<?, ?B/s]

sub-CRMBM_acq-famp_TB1TFL.nii.gz:   0%|              | 0.00/919k [00:00<?, ?B/s]
                                                                                
sub-CRMBM_acq-famp_TB1TFL.nii.gz:  33%|█▉    | 305k/919k [00:00<00:00, 2.79MB/s]
sub-CRMBM_acq-refv-1.5_TB1DREAM.json:   0%|         | 0.00/2.16k [00:00<?, ?B/s]
                                                                                
sub-CRMBM_acq-refv_TB1DREAM.json:   0%|             | 0.00/2.14k [00:00<?, ?B/s]


sub-MGH_T2starw.json:   0%|                         | 0.00/2.43k [00:00<?, ?B/s]
                                                                                



                                                                                
sub-CRMBM_acq-refv-0.66_TB1DREAM.nii.gz:   0%|      | 0.00/78.5k [00:00<?, ?B/s]

sub-CRMBM_acq-famp_TB1TFL.nii.gz:  63%|███▊  | 578k/919k [00:00<00:00, 2.41MB/s]

                                                                                
                                                                                
sub-MGH_rec-uncombined02_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]
                                                                                
sub-CRMBM_acq-refv_TB1DREAM.nii.gz:   0%|           | 0.00/82.4k [00:00<?, ?B/s]

sub-CRMBM_acq-refv-1.5_TB1DREAM.nii.gz:   0%|       | 0.00/85.8k [00:00<?, ?B/s]
                                                                                
sub-MGH_T2starw.nii.gz:   0%|                       | 0.00/1.14M [00:00<?, ?B/s]

                                                                                

sub-MGH_rec-uncombined01_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]
                                                                                

sub-MGH_rec-uncombined01_T2starw.nii.gz:   0%|       | 0.00/804k [00:00<?, ?B/s]
sub-MGH_T2starw.nii.gz:  22%|███▎           | 255k/1.14M [00:00<00:00, 2.60MB/s]
                                                                                
sub-MGH_rec-uncombined01_T2starw.nii.gz:  19%|▏| 152k/804k [00:00<00:00, 1.43MB/
sub-MGH_rec-uncombined02_T2starw.nii.gz:   0%|       | 0.00/717k [00:00<?, ?B/s]

                                                                                
sub-MGH_rec-uncombined03_T2starw.nii.gz:   0%|       | 0.00/718k [00:00<?, ?B/s]


sub-MGH_rec-uncombined04_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]


                                                                                
sub-MGH_rec-uncombined02_T2starw.nii.gz:  54%|▌| 391k/717k [00:00<00:00, 3.98MB/


sub-MGH_rec-uncombined03_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]


                                                                                
                                                                                


sub-MGH_rec-uncombined03_T2starw.nii.gz:  31%|▎| 220k/718k [00:00<00:00, 1.88MB/
                                                                                
sub-MGH_rec-uncombined05_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]
                                                                                
sub-MGH_rec-uncombined07_T2starw.nii.gz:   0%|       | 0.00/773k [00:00<?, ?B/s]
sub-MGH_rec-uncombined07_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]

                                                                                
sub-MGH_rec-uncombined06_T2starw.nii.gz:   0%|       | 0.00/794k [00:00<?, ?B/s]


sub-MGH_rec-uncombined04_T2starw.nii.gz:   0%|       | 0.00/725k [00:00<?, ?B/s]



sub-MGH_rec-uncombined05_T2starw.nii.gz:   0%|       | 0.00/798k [00:00<?, ?B/s]
sub-MGH_rec-uncombined07_T2starw.nii.gz:  92%|▉| 714k/773k [00:00<00:00, 6.96MB/
                                                                                

sub-MGH_rec-uncombined06_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]
                                                                                
sub-MGH_rec-uncombined06_T2starw.nii.gz:  30%|▎| 237k/794k [00:00<00:00, 1.91MB/


sub-MGH_rec-uncombined04_T2starw.nii.gz:  33%|▎| 238k/725k [00:00<00:00, 1.92MB/



sub-MGH_rec-uncombined05_T2starw.nii.gz:  34%|▎| 272k/798k [00:00<00:00, 2.78MB/
                                                                                
                                                                                
sub-MGH_rec-uncombined08_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]
                                                                                
sub-MGH_rec-uncombined05_T2starw.nii.gz:  85%|▊| 679k/798k [00:00<00:00, 3.04MB/



                                                                                
sub-MGH_rec-uncombined08_T2starw.nii.gz:   0%|       | 0.00/853k [00:00<?, ?B/s]
sub-MGH_rec-uncombined10_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]

                                                                                
sub-MGH_rec-uncombined09_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]

                                                                                
sub-MGH_rec-uncombined08_T2starw.nii.gz:  14%|▏| 118k/853k [00:00<00:00, 1.20MB/
sub-MGH_rec-uncombined09_T2starw.nii.gz:   0%|       | 0.00/805k [00:00<?, ?B/s]
                                                                                
sub-MGH_rec-uncombined09_T2starw.nii.gz:  44%|▍| 356k/805k [00:00<00:00, 3.53MB/

                                                                                
sub-MGH_rec-uncombined12_T2starw.nii.gz:   0%|       | 0.00/861k [00:00<?, ?B/s]

sub-MGH_rec-uncombined12_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]

                                                                                
sub-MGH_rec-uncombined10_T2starw.nii.gz:   0%|       | 0.00/838k [00:00<?, ?B/s]


sub-MGH_rec-uncombined11_T2starw.nii.gz:   0%|       | 0.00/857k [00:00<?, ?B/s]
sub-MGH_rec-uncombined12_T2starw.nii.gz:  35%|▎| 305k/861k [00:00<00:00, 2.81MB/
sub-MGH_rec-uncombined10_T2starw.nii.gz:  75%|▋| 629k/838k [00:00<00:00, 6.43MB/
                                                                                



sub-MGH_rec-uncombined11_T2starw.nii.gz:  59%|▌| 510k/857k [00:00<00:00, 5.18MB/
                                                                                
sub-MGH_rec-uncombined11_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]
                                                                                
sub-MGH_rec-uncombined13_T2starw.nii.gz:   0%|       | 0.00/770k [00:00<?, ?B/s]


                                                                                
sub-MGH_rec-uncombined14_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]
sub-MGH_rec-uncombined13_T2starw.nii.gz:  75%|▋| 577k/770k [00:00<00:00, 5.90MB/

                                                                                
sub-MGH_rec-uncombined13_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]


sub-MGH_rec-uncombined15_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]

                                                                                


                                                                                
                                                                                
sub-MGH_rec-uncombined14_T2starw.nii.gz:   0%|       | 0.00/812k [00:00<?, ?B/s]
sub-MGH_rec-uncombined17_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]

                                                                                
sub-MGH_rec-uncombined14_T2starw.nii.gz:  40%|▍| 323k/812k [00:00<00:00, 3.18MB/
                                                                                
sub-MGH_rec-uncombined15_T2starw.nii.gz:   0%|       | 0.00/743k [00:00<?, ?B/s]

sub-MGH_rec-uncombined17_T2starw.nii.gz:   0%|       | 0.00/829k [00:00<?, ?B/s]


sub-MGH_rec-uncombined16_T2starw.nii.gz:   0%|       | 0.00/785k [00:00<?, ?B/s]
sub-MGH_rec-uncombined16_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]



                                                                                
sub-MGH_rec-uncombined17_T2starw.nii.gz:  37%|▎| 305k/829k [00:00<00:00, 3.07MB/
sub-MGH_rec-uncombined15_T2starw.nii.gz:  50%|▌| 373k/743k [00:00<00:00, 3.71MB/


sub-MGH_rec-uncombined16_T2starw.nii.gz:  32%|▎| 254k/785k [00:00<00:00, 2.58MB/



sub-MGH_rec-uncombined18_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]



                                                                                
                                                                                
sub-MGH_rec-uncombined17_T2starw.nii.gz:  82%|▊| 679k/829k [00:00<00:00, 3.46MB/


sub-MGH_rec-uncombined16_T2starw.nii.gz:  82%|▊| 646k/785k [00:00<00:00, 3.39MB/


                                                                                

                                                                                
sub-MGH_rec-uncombined19_T2starw.nii.gz:   0%|       | 0.00/684k [00:00<?, ?B/s]

sub-MGH_rec-uncombined20_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]

                                                                                
sub-MGH_rec-uncombined19_T2starw.nii.gz:  84%|▊| 577k/684k [00:00<00:00, 5.85MB/
                                                                                

sub-MGH_rec-uncombined19_T2starw.json:   0%|        | 0.00/2.44k [00:00<?, ?B/s]
                                                                                

sub-MGH_rec-uncombined18_T2starw.nii.gz:   0%|       | 0.00/739k [00:00<?, ?B/s]

sub-MGH_acq-anat_TB1TFL.json:   0%|                 | 0.00/2.62k [00:00<?, ?B/s]


sub-MGH_acq-anat_TB1TFL.nii.gz:   0%|                | 0.00/939k [00:00<?, ?B/s]

                                                                                
sub-MGH_acq-anat_TB1TFL.nii.gz:  30%|██▍     | 281k/939k [00:00<00:00, 2.87MB/s]
sub-MGH_rec-uncombined18_T2starw.nii.gz:  41%|▍| 306k/739k [00:00<00:00, 3.06MB/
                                                                                
sub-MGH_acq-coilQaSagLarge_SNR.json:   0%|          | 0.00/2.17k [00:00<?, ?B/s]
                                                                                



sub-MGH_acq-anat_TB1TFL.nii.gz:  96%|███████▋| 902k/939k [00:00<00:00, 4.92MB/s]


                                                                                
sub-MGH_rec-uncombined20_T2starw.nii.gz:   0%|       | 0.00/795k [00:00<?, ?B/s]
sub-MGH_acq-coilQaSagSmall_GFactor.json:   0%|      | 0.00/2.18k [00:00<?, ?B/s]

                                                                                

sub-MGH_acq-coilQaSagLarge_SNR.nii.gz:   0%|        | 0.00/3.81M [00:00<?, ?B/s]
sub-MGH_rec-uncombined20_T2starw.nii.gz:  68%|▋| 543k/795k [00:00<00:00, 5.54MB/
                                                                                
sub-MGH_acq-coilQaTra_GFactor.json:   0%|           | 0.00/2.08k [00:00<?, ?B/s]
                                                                                


sub-MGH_acq-coilQaSagLarge_SNR.nii.gz:   4%| | 152k/3.81M [00:00<00:03, 1.27MB/s
sub-MGH_acq-coilQaTra_GFactor.nii.gz:   0%|         | 0.00/16.0M [00:00<?, ?B/s]


sub-MGH_acq-famp-0.66_TB1DREAM.json:   0%|          | 0.00/2.14k [00:00<?, ?B/s]


                                                                                
sub-MGH_acq-coilQaSagLarge_SNR.nii.gz:  23%|▏| 883k/3.81M [00:00<00:00, 4.46MB/s
sub-MGH_acq-coilQaTra_GFactor.nii.gz:   2%| | 305k/16.0M [00:00<00:05, 3.03MB/s]
sub-MGH_acq-coilQaTra_GFactor.nii.gz:  17%|▏| 2.66M/16.0M [00:00<00:00, 15.7MB/s


sub-MGH_acq-famp_TB1DREAM.nii.gz:   0%|             | 0.00/86.2k [00:00<?, ?B/s]



sub-MGH_acq-coilQaSagSmall_GFactor.nii.gz:   0%|    | 0.00/3.60M [00:00<?, ?B/s]
                                                                                
sub-MGH_acq-coilQaTra_GFactor.nii.gz:  38%|▍| 6.13M/16.0M [00:00<00:00, 24.5MB/s

sub-MGH_acq-coilQaSagLarge_SNR.nii.gz:  54%|▌| 2.06M/3.81M [00:00<00:00, 5.37MB/


sub-MGH_acq-famp_TB1TFL.nii.gz:   0%|                | 0.00/933k [00:00<?, ?B/s]



sub-MGH_acq-coilQaSagSmall_GFactor.nii.gz:  10%| | 357k/3.60M [00:00<00:00, 3.65
sub-MGH_acq-coilQaSagLarge_SNR.nii.gz:  78%|▊| 2.98M/3.81M [00:00<00:00, 6.61MB/


sub-MGH_acq-famp_TB1TFL.nii.gz:  58%|████▋   | 543k/933k [00:00<00:00, 5.54MB/s]



sub-MGH_acq-coilQaSagSmall_GFactor.nii.gz:  34%|▎| 1.21M/3.60M [00:00<00:00, 6.7
                                                                                


sub-MGH_acq-famp-0.66_TB1DREAM.nii.gz:   0%|        | 0.00/85.7k [00:00<?, ?B/s]
sub-MGH_acq-coilQaTra_GFactor.nii.gz:  53%|▌| 8.48M/16.0M [00:00<00:00, 18.1MB/s
sub-MGH_acq-coilQaSagLarge_SNR.nii.gz:  96%|▉| 3.65M/3.81M [00:00<00:00, 6.61MB/

                                                                                


                                                                                
sub-MGH_acq-coilQaSagSmall_GFactor.nii.gz:  52%|▌| 1.86M/3.60M [00:00<00:00, 5.4
sub-MGH_acq-coilQaTra_GFactor.nii.gz:  65%|▋| 10.4M/16.0M [00:00<00:00, 16.4MB/s
                                                                                

sub-MGH_acq-famp_TB1TFL.json:   0%|                 | 0.00/2.66k [00:00<?, ?B/s]

                                                                                
sub-MGH_acq-refv-0.66_TB1DREAM.json:   0%|          | 0.00/2.16k [00:00<?, ?B/s]


sub-MGH_acq-famp_TB1DREAM.json:   0%|               | 0.00/2.13k [00:00<?, ?B/s]

                                                                                


                                                                                
sub-MGH_acq-coilQaTra_GFactor.nii.gz:  76%|▊| 12.1M/16.0M [00:00<00:00, 13.8MB/s
sub-MGH_acq-refv_TB1DREAM.json:   0%|               | 0.00/2.14k [00:00<?, ?B/s]

                                                                                
sub-MGH_acq-coilQaTra_GFactor.nii.gz:  95%|▉| 15.2M/16.0M [00:00<00:00, 18.5MB/s

sub-MNI_T2starw.json:   0%|                         | 0.00/2.41k [00:00<?, ?B/s]

                                                                                
                                                                                

sub-MGH_acq-refv-0.66_TB1DREAM.nii.gz:   0%|        | 0.00/87.1k [00:00<?, ?B/s]
sub-MGH_acq-refv_TB1DREAM.nii.gz:   0%|             | 0.00/91.4k [00:00<?, ?B/s]
                                                                                
                                                                                
sub-MNI_rec-uncombined01_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]
                                                                                
sub-MNI_rec-uncombined02_T2starw.nii.gz:   0%|       | 0.00/742k [00:00<?, ?B/s]
sub-MNI_rec-uncombined02_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]

                                                                                
sub-MNI_rec-uncombined02_T2starw.nii.gz:  91%|▉| 679k/742k [00:00<00:00, 5.94MB/

sub-MNI_T2starw.nii.gz:   0%|                       | 0.00/1.14M [00:00<?, ?B/s]


sub-MNI_rec-uncombined01_T2starw.nii.gz:   0%|       | 0.00/734k [00:00<?, ?B/s]



sub-MNI_rec-uncombined05_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]



                                                                                
                                                                                
sub-MNI_T2starw.nii.gz:  48%|███████▏       | 561k/1.14M [00:00<00:00, 5.74MB/s]


sub-MNI_rec-uncombined01_T2starw.nii.gz:  41%|▍| 305k/734k [00:00<00:00, 3.03MB/
                                                                                
sub-MNI_rec-uncombined03_T2starw.nii.gz:   0%|       | 0.00/835k [00:00<?, ?B/s]

                                                                                

sub-MNI_rec-uncombined03_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]

                                                                                
sub-MNI_rec-uncombined04_T2starw.nii.gz:   0%|       | 0.00/792k [00:00<?, ?B/s]
sub-MNI_rec-uncombined03_T2starw.nii.gz:  36%|▎| 305k/835k [00:00<00:00, 3.12MB/
                                                                                
sub-MNI_rec-uncombined04_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]
                                                                                


sub-MNI_rec-uncombined04_T2starw.nii.gz:  19%|▏| 153k/792k [00:00<00:00, 1.38MB/
                                                                                
sub-MNI_rec-uncombined07_T2starw.nii.gz:   0%|       | 0.00/817k [00:00<?, ?B/s]

sub-MNI_rec-uncombined05_T2starw.nii.gz:   0%|       | 0.00/792k [00:00<?, ?B/s]
sub-MNI_rec-uncombined07_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]


                                                                                
sub-MNI_rec-uncombined06_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]
sub-MNI_rec-uncombined07_T2starw.nii.gz:  46%|▍| 373k/817k [00:00<00:00, 3.72MB/


                                                                                

sub-MNI_rec-uncombined05_T2starw.nii.gz:  15%|▏| 118k/792k [00:00<00:00, 1.18MB/
                                                                                
                                                                                
sub-MNI_rec-uncombined06_T2starw.nii.gz:   0%|       | 0.00/801k [00:00<?, ?B/s]
sub-MNI_rec-uncombined08_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]

                                                                                
sub-MNI_rec-uncombined10_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]

                                                                                
sub-MNI_rec-uncombined06_T2starw.nii.gz:  41%|▍| 331k/801k [00:00<00:00, 2.81MB/
                                                                                
sub-MNI_rec-uncombined09_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]
                                                                                
sub-MNI_rec-uncombined11_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]
                                                                                
sub-MNI_rec-uncombined09_T2starw.nii.gz:   0%|       | 0.00/798k [00:00<?, ?B/s]

sub-MNI_rec-uncombined08_T2starw.nii.gz:   0%|       | 0.00/804k [00:00<?, ?B/s]
sub-MNI_rec-uncombined12_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]


                                                                                
sub-MNI_rec-uncombined09_T2starw.nii.gz:  25%|▎| 203k/798k [00:00<00:00, 2.05MB/

sub-MNI_rec-uncombined08_T2starw.nii.gz:  38%|▍| 306k/804k [00:00<00:00, 3.08MB/


sub-MNI_rec-uncombined10_T2starw.nii.gz:   0%|       | 0.00/816k [00:00<?, ?B/s]
                                                                                
                                                                                
sub-MNI_rec-uncombined10_T2starw.nii.gz:  37%|▎| 306k/816k [00:00<00:00, 3.13MB/


                                                                                
sub-MNI_rec-uncombined12_T2starw.nii.gz:   0%|       | 0.00/846k [00:00<?, ?B/s]

sub-MNI_rec-uncombined13_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]

                                                                                
sub-MNI_rec-uncombined11_T2starw.nii.gz:   0%|       | 0.00/857k [00:00<?, ?B/s]
sub-MNI_rec-uncombined15_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]


                                                                                
sub-MNI_rec-uncombined12_T2starw.nii.gz:  20%|▏| 169k/846k [00:00<00:00, 1.52MB/
sub-MNI_rec-uncombined11_T2starw.nii.gz:  76%|▊| 647k/857k [00:00<00:00, 6.62MB/
                                                                                
sub-MNI_rec-uncombined14_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]
                                                                                


                                                                                
sub-MNI_rec-uncombined13_T2starw.nii.gz:   0%|       | 0.00/765k [00:00<?, ?B/s]
sub-MNI_rec-uncombined14_T2starw.nii.gz:   0%|       | 0.00/803k [00:00<?, ?B/s]


sub-MNI_rec-uncombined17_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]


                                                                                
sub-MNI_rec-uncombined13_T2starw.nii.gz:  64%|▋| 492k/765k [00:00<00:00, 5.02MB/
                                                                                
sub-MNI_rec-uncombined17_T2starw.nii.gz:   0%|       | 0.00/762k [00:00<?, ?B/s]

sub-MNI_rec-uncombined14_T2starw.nii.gz:  17%|▏| 135k/803k [00:00<00:00, 1.31MB/
                                                                                

sub-MNI_rec-uncombined15_T2starw.nii.gz:   0%|       | 0.00/737k [00:00<?, ?B/s]
sub-MNI_rec-uncombined17_T2starw.nii.gz: 100%|█| 762k/762k [00:00<00:00, 7.79MB/
                                                                                
sub-MNI_rec-uncombined16_T2starw.nii.gz:   0%|       | 0.00/728k [00:00<?, ?B/s]


sub-MNI_rec-uncombined16_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]


                                                                                
sub-MNI_rec-uncombined15_T2starw.nii.gz:  81%|▊| 594k/737k [00:00<00:00, 5.34MB/

                                                                                

sub-MNI_rec-uncombined18_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]

                                                                                
sub-MNI_rec-uncombined16_T2starw.nii.gz:  16%|▏| 119k/728k [00:00<00:00, 1.13MB/
                                                                                
sub-MNI_rec-uncombined19_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]
                                                                                
sub-MNI_rec-uncombined20_T2starw.json:   0%|        | 0.00/2.42k [00:00<?, ?B/s]
                                                                                

sub-MNI_rec-uncombined19_T2starw.nii.gz:   0%|       | 0.00/635k [00:00<?, ?B/s]

sub-MNI_rec-uncombined18_T2starw.nii.gz:   0%|       | 0.00/757k [00:00<?, ?B/s]
sub-MNI_rec-uncombined20_T2starw.nii.gz:   0%|       | 0.00/752k [00:00<?, ?B/s]
                                                                                
sub-MNI_rec-uncombined18_T2starw.nii.gz:  47%|▍| 358k/757k [00:00<00:00, 3.26MB/
sub-MNI_acq-anat_TB1TFL.nii.gz:   0%|                | 0.00/942k [00:00<?, ?B/s]


sub-MNI_rec-uncombined20_T2starw.nii.gz:  59%|▌| 443k/752k [00:00<00:00, 4.52MB/

                                                                                
                                                                                
sub-MNI_acq-anat_TB1TFL.nii.gz:  22%|█▋      | 203k/942k [00:00<00:00, 2.04MB/s]

sub-MNI_acq-coilQaSagLarge_SNR.nii.gz:   0%|        | 0.00/3.86M [00:00<?, ?B/s]
                                                                                
sub-MNI_acq-anat_TB1TFL.json:   0%|                 | 0.00/2.59k [00:00<?, ?B/s]
                                                                                
sub-MNI_acq-coilQaSagLarge_SNR.json:   0%|          | 0.00/2.18k [00:00<?, ?B/s]
                                                                                


sub-MNI_acq-coilQaSagLarge_SNR.nii.gz:   3%| | 120k/3.86M [00:00<00:03, 1.05MB/s
sub-MNI_acq-coilQaSagSmall_GFactor.json:   0%|      | 0.00/2.16k [00:00<?, ?B/s]
                                                                                
sub-MNI_acq-coilQaTra_GFactor.json:   0%|           | 0.00/2.06k [00:00<?, ?B/s]
                                                                                
sub-MNI_acq-coilQaSagSmall_GFactor.nii.gz:   0%|    | 0.00/3.56M [00:00<?, ?B/s]
sub-MNI_acq-coilQaTra_GFactor.nii.gz:   0%|         | 0.00/15.9M [00:00<?, ?B/s]
sub-MNI_acq-coilQaSagLarge_SNR.nii.gz:  53%|▌| 2.07M/3.86M [00:00<00:00, 6.17MB/
sub-MNI_acq-coilQaSagSmall_GFactor.nii.gz:  15%|▏| 543k/3.56M [00:00<00:00, 5.53



sub-MNI_acq-famp-0.66_TB1DREAM.json:   0%|          | 0.00/2.12k [00:00<?, ?B/s]



                                                                                
sub-MNI_acq-famp-1.5_TB1DREAM.json:   0%|           | 0.00/2.12k [00:00<?, ?B/s]



                                                                                


sub-MNI_acq-coilQaTra_GFactor.nii.gz:   1%| | 153k/15.9M [00:00<00:10, 1.57MB/s]
sub-MNI_acq-coilQaSagLarge_SNR.nii.gz:  68%|▋| 2.62M/3.86M [00:00<00:00, 6.05MB/
sub-MNI_acq-coilQaSagSmall_GFactor.nii.gz:  30%|▎| 1.06M/3.56M [00:00<00:00, 5.0
sub-MNI_acq-coilQaTra_GFactor.nii.gz:   8%| | 1.20M/15.9M [00:00<00:02, 7.07MB/s

                                                                                
sub-MNI_acq-coilQaSagSmall_GFactor.nii.gz:  51%|▌| 1.82M/3.56M [00:00<00:00, 6.1

sub-MNI_acq-famp-1.5_TB1DREAM.nii.gz:   0%|         | 0.00/84.4k [00:00<?, ?B/s]



sub-MNI_acq-famp_TB1DREAM.json:   0%|               | 0.00/2.11k [00:00<?, ?B/s]



                                                                                
                                                                                
sub-MNI_acq-coilQaSagSmall_GFactor.nii.gz:  68%|▋| 2.43M/3.56M [00:00<00:00, 6.1


sub-MNI_acq-coilQaTra_GFactor.nii.gz:  12%| | 1.88M/15.9M [00:00<00:02, 5.93MB/s
                                                                                
sub-MNI_acq-famp_TB1DREAM.nii.gz:   0%|             | 0.00/85.9k [00:00<?, ?B/s]

sub-MNI_acq-famp_TB1TFL.json:   0%|                 | 0.00/2.63k [00:00<?, ?B/s]

                                                                                
sub-MNI_acq-coilQaTra_GFactor.nii.gz:  19%|▏| 3.07M/15.9M [00:00<00:01, 7.55MB/s
                                                                                
sub-MNI_acq-famp-0.66_TB1DREAM.nii.gz:   0%|        | 0.00/88.2k [00:00<?, ?B/s]
sub-MNI_acq-coilQaTra_GFactor.nii.gz:  39%|▍| 6.24M/15.9M [00:00<00:00, 15.6MB/s
                                                                                
sub-MNI_acq-refv-1.5_TB1DREAM.json:   0%|           | 0.00/2.13k [00:00<?, ?B/s]
                                                                                
sub-MNI_acq-coilQaTra_GFactor.nii.gz:  52%|▌| 8.26M/15.9M [00:00<00:00, 17.3MB/s
sub-MNI_acq-refv-0.66_TB1DREAM.nii.gz:   0%|        | 0.00/85.1k [00:00<?, ?B/s]
sub-MNI_acq-coilQaTra_GFactor.nii.gz:  67%|▋| 10.7M/15.9M [00:00<00:00, 12.1MB/s
sub-MNI_acq-refv-0.66_TB1DREAM.nii.gz:  19%|▏| 16.0k/85.1k [00:00<00:01, 62.2kB/

sub-MNI_acq-refv-0.66_TB1DREAM.json:   0%|          | 0.00/2.13k [00:00<?, ?B/s]



sub-MNI_acq-famp_TB1TFL.nii.gz:   0%|                | 0.00/938k [00:00<?, ?B/s]




sub-MPI_T2starw.json:   0%|                         | 0.00/2.42k [00:00<?, ?B/s]

                                                                                




                                                                                
                                                                                
sub-MNI_acq-famp_TB1TFL.nii.gz:  16%|█▎      | 153k/938k [00:00<00:00, 1.56MB/s]
sub-MNI_acq-coilQaTra_GFactor.nii.gz:  76%|▊| 12.2M/15.9M [00:01<00:00, 11.5MB/s



                                                                                
sub-MNI_acq-coilQaTra_GFactor.nii.gz: 100%|▉| 15.9M/15.9M [00:01<00:00, 17.3MB/s


                                                                                
sub-MNI_acq-refv-1.5_TB1DREAM.nii.gz:   0%|         | 0.00/91.3k [00:00<?, ?B/s]

sub-MNI_acq-refv_TB1DREAM.nii.gz:   0%|             | 0.00/89.8k [00:00<?, ?B/s]


sub-MPI_T2starw.nii.gz:   0%|                       | 0.00/1.16M [00:00<?, ?B/s]
                                                                                

sub-MNI_acq-refv_TB1DREAM.json:   0%|               | 0.00/2.12k [00:00<?, ?B/s]

                                                                                
                                                                                
sub-MPI_T2starw.nii.gz:  10%|█▌             | 120k/1.16M [00:00<00:01, 1.05MB/s]


                                                                                
sub-MPI_rec-uncombined10_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined11_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined12_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]

sub-MPI_rec-uncombined11_T2starw.nii.gz:   0%|       | 0.00/929k [00:00<?, ?B/s]
                                                                                

sub-MPI_rec-uncombined10_T2starw.nii.gz:   0%|       | 0.00/923k [00:00<?, ?B/s]
sub-MPI_rec-uncombined11_T2starw.nii.gz:  35%|▎| 323k/929k [00:00<00:00, 3.30MB/
sub-MPI_rec-uncombined10_T2starw.nii.gz:  50%|▍| 458k/923k [00:00<00:00, 4.65MB/


sub-MPI_rec-uncombined14_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]


                                                                                
                                                                                

sub-MPI_rec-uncombined14_T2starw.nii.gz:   0%|       | 0.00/966k [00:00<?, ?B/s]
sub-MPI_rec-uncombined13_T2starw.nii.gz:   0%|       | 0.00/925k [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined14_T2starw.nii.gz:  35%|▎| 340k/966k [00:00<00:00, 3.24MB/
sub-MPI_rec-uncombined13_T2starw.nii.gz:  72%|▋| 663k/925k [00:00<00:00, 6.74MB/

                                                                                
                                                                                
sub-MPI_rec-uncombined12_T2starw.nii.gz:   0%|       | 0.00/944k [00:00<?, ?B/s]

sub-MPI_rec-uncombined15_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]

                                                                                
sub-MPI_rec-uncombined13_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]

                                                                                
sub-MPI_rec-uncombined12_T2starw.nii.gz:  20%|▏| 186k/944k [00:00<00:00, 1.77MB/
                                                                                
sub-MPI_rec-uncombined17_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined15_T2starw.nii.gz:   0%|       | 0.00/953k [00:00<?, ?B/s]

sub-MPI_rec-uncombined16_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]

                                                                                
sub-MPI_rec-uncombined16_T2starw.nii.gz:   0%|       | 0.00/987k [00:00<?, ?B/s]
sub-MPI_rec-uncombined15_T2starw.nii.gz:  34%|▎| 322k/953k [00:00<00:00, 2.87MB/


sub-MPI_rec-uncombined19_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]


                                                                                
sub-MPI_rec-uncombined16_T2starw.nii.gz:  13%|▏| 130k/987k [00:00<00:00, 1.32MB/
                                                                                
sub-MPI_rec-uncombined17_T2starw.nii.gz:   0%|      | 0.00/0.99M [00:00<?, ?B/s]

                                                                                
sub-MPI_rec-uncombined17_T2starw.nii.gz:  30%|▎| 306k/0.99M [00:00<00:00, 3.10MB

sub-MPI_rec-uncombined18_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]

                                                                                
sub-MPI_rec-uncombined19_T2starw.nii.gz:   0%|      | 0.00/1.01M [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined20_T2starw.nii.gz:   0%|       | 0.00/990k [00:00<?, ?B/s]


sub-MPI_rec-uncombined18_T2starw.nii.gz:   0%|      | 0.00/0.99M [00:00<?, ?B/s]
sub-MPI_rec-uncombined19_T2starw.nii.gz:  89%|▉| 918k/1.01M [00:00<00:00, 9.38MB

                                                                                
sub-MPI_rec-uncombined20_T2starw.nii.gz:  29%|▎| 288k/990k [00:00<00:00, 2.94MB/


sub-MPI_rec-uncombined18_T2starw.nii.gz:  39%|▍| 394k/0.99M [00:00<00:00, 4.02MB
                                                                                

sub-MPI_rec-uncombined21_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]


                                                                                

sub-MPI_rec-uncombined1_T2starw.nii.gz:   0%|        | 0.00/967k [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined1_T2starw.json:   0%|         | 0.00/2.43k [00:00<?, ?B/s]
                                                                                


sub-MPI_rec-uncombined1_T2starw.nii.gz:   7%| | 67.5k/967k [00:00<00:01, 671kB/s
                                                                                
sub-MPI_rec-uncombined20_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined23_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]
                                                                                

sub-MPI_rec-uncombined21_T2starw.nii.gz:   0%|       | 0.00/989k [00:00<?, ?B/s]
sub-MPI_rec-uncombined22_T2starw.nii.gz:   0%|      | 0.00/1.00M [00:00<?, ?B/s]
sub-MPI_rec-uncombined21_T2starw.nii.gz:  62%|▌| 613k/989k [00:00<00:00, 6.18MB/


sub-MPI_rec-uncombined22_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]


                                                                                
sub-MPI_rec-uncombined23_T2starw.nii.gz:   0%|      | 0.00/1.00M [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined22_T2starw.nii.gz:  33%|▎| 339k/1.00M [00:00<00:00, 2.78MB
sub-MPI_rec-uncombined24_T2starw.nii.gz:   0%|       | 0.00/983k [00:00<?, ?B/s]
                                                                                


sub-MPI_rec-uncombined23_T2starw.nii.gz:  13%|▏| 135k/1.00M [00:00<00:00, 1.24MB

sub-MPI_rec-uncombined2_T2starw.json:   0%|         | 0.00/2.43k [00:00<?, ?B/s]

                                                                                
sub-MPI_rec-uncombined24_T2starw.nii.gz:  26%|▎| 256k/983k [00:00<00:00, 2.40MB/

sub-MPI_rec-uncombined24_T2starw.json:   0%|        | 0.00/2.43k [00:00<?, ?B/s]

                                                                                
sub-MPI_rec-uncombined23_T2starw.nii.gz:  66%|▋| 679k/1.00M [00:00<00:00, 3.67MB
                                                                                
                                                                                
sub-MPI_rec-uncombined3_T2starw.json:   0%|         | 0.00/2.43k [00:00<?, ?B/s]
                                                                                

sub-MPI_rec-uncombined2_T2starw.nii.gz:   0%|        | 0.00/937k [00:00<?, ?B/s]
sub-MPI_rec-uncombined3_T2starw.nii.gz:   0%|        | 0.00/956k [00:00<?, ?B/s]
sub-MPI_rec-uncombined2_T2starw.nii.gz:  82%|▊| 765k/937k [00:00<00:00, 7.78MB/s
                                                                                
sub-MPI_rec-uncombined4_T2starw.json:   0%|         | 0.00/2.43k [00:00<?, ?B/s]

sub-MPI_rec-uncombined3_T2starw.nii.gz:  32%|▎| 306k/956k [00:00<00:00, 3.10MB/s
                                                                                
sub-MPI_rec-uncombined5_T2starw.nii.gz:   0%|        | 0.00/964k [00:00<?, ?B/s]


sub-MPI_rec-uncombined4_T2starw.nii.gz:   0%|        | 0.00/960k [00:00<?, ?B/s]

                                                                                
sub-MPI_rec-uncombined5_T2starw.nii.gz:  58%|▌| 560k/964k [00:00<00:00, 5.73MB/s


sub-MPI_rec-uncombined4_T2starw.nii.gz:  76%|▊| 731k/960k [00:00<00:00, 7.48MB/s


                                                                                

sub-MPI_rec-uncombined5_T2starw.json:   0%|         | 0.00/2.43k [00:00<?, ?B/s]

                                                                                
                                                                                
sub-MPI_rec-uncombined6_T2starw.json:   0%|         | 0.00/2.43k [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined7_T2starw.json:   0%|         | 0.00/2.43k [00:00<?, ?B/s]
                                                                                

sub-MPI_rec-uncombined8_T2starw.json:   0%|         | 0.00/2.43k [00:00<?, ?B/s]
                                                                                
sub-MPI_rec-uncombined6_T2starw.nii.gz:   0%|        | 0.00/930k [00:00<?, ?B/s]

sub-MPI_rec-uncombined7_T2starw.nii.gz:   0%|        | 0.00/968k [00:00<?, ?B/s]
sub-MPI_rec-uncombined8_T2starw.nii.gz:   0%|        | 0.00/951k [00:00<?, ?B/s]
sub-MPI_rec-uncombined6_T2starw.nii.gz:  53%|▌| 493k/930k [00:00<00:00, 5.03MB/s



sub-MPI_acq-anat_TB1TFL.json:   0%|                 | 0.00/2.63k [00:00<?, ?B/s]

sub-MPI_rec-uncombined7_T2starw.nii.gz:  65%|▋| 629k/968k [00:00<00:00, 6.26MB/s



                                                                                
sub-MPI_rec-uncombined9_T2starw.nii.gz:   0%|        | 0.00/925k [00:00<?, ?B/s]


sub-MPI_rec-uncombined8_T2starw.nii.gz:  36%|▎| 340k/951k [00:00<00:00, 3.47MB/s

                                                                                
                                                                                
sub-MPI_rec-uncombined9_T2starw.nii.gz:  26%|▎| 238k/925k [00:00<00:00, 2.42MB/s


sub-MPI_rec-uncombined8_T2starw.nii.gz:  91%|▉| 867k/951k [00:00<00:00, 4.60MB/s


                                                                                
                                                                                
sub-MPI_acq-anat_TB1TFL.nii.gz:   0%|                | 0.00/702k [00:00<?, ?B/s]

sub-MPI_rec-uncombined9_T2starw.json:   0%|         | 0.00/2.43k [00:00<?, ?B/s]

                                                                                
sub-MPI_acq-coilQaTra_GFactor.json:   0%|           | 0.00/2.07k [00:00<?, ?B/s]

                                                                                
sub-MPI_acq-coilQaSagLarge_SNR.nii.gz:   0%|        | 0.00/3.99M [00:00<?, ?B/s]
sub-MPI_acq-anat_TB1TFL.nii.gz:  43%|███▍    | 305k/702k [00:00<00:00, 3.10MB/s]
                                                                                

sub-MPI_acq-coilQaSagLarge_SNR.json:   0%|          | 0.00/2.16k [00:00<?, ?B/s]
                                                                                
sub-MPI_acq-coilQaSagSmall_GFactor.json:   0%|      | 0.00/2.16k [00:00<?, ?B/s]
                                                                                
sub-MPI_acq-coilQaSagLarge_SNR.nii.gz:   3%| | 130k/3.99M [00:00<00:03, 1.06MB/s
sub-MPI_acq-coilQaSagSmall_GFactor.nii.gz:   0%|    | 0.00/3.53M [00:00<?, ?B/s]
sub-MPI_acq-coilQaSagLarge_SNR.nii.gz:  55%|▌| 2.20M/3.99M [00:00<00:00, 9.47MB/


sub-MPI_acq-famp-0.66_TB1DREAM.nii.gz:   0%|        | 0.00/87.4k [00:00<?, ?B/s]



sub-MPI_acq-coilQaTra_GFactor.nii.gz:   0%|         | 0.00/15.5M [00:00<?, ?B/s]




sub-MPI_acq-famp-1.5_TB1DREAM.nii.gz:   0%|         | 0.00/89.9k [00:00<?, ?B/s]
                                                                                
sub-MPI_acq-coilQaSagSmall_GFactor.nii.gz:  10%| | 356k/3.53M [00:00<00:01, 3.32




                                                                                
sub-MPI_acq-coilQaSagLarge_SNR.nii.gz:  94%|▉| 3.77M/3.99M [00:00<00:00, 11.3MB/



sub-MPI_acq-coilQaTra_GFactor.nii.gz:   1%| | 136k/15.5M [00:00<00:11, 1.39MB/s]

                                                                                
sub-MPI_acq-coilQaSagSmall_GFactor.nii.gz:  23%|▏| 816k/3.53M [00:00<00:00, 4.10
sub-MPI_acq-coilQaTra_GFactor.nii.gz:   7%| | 1.10M/15.5M [00:00<00:02, 6.50MB/s
sub-MPI_acq-famp-0.66_TB1DREAM.json:   0%|          | 0.00/2.08k [00:00<?, ?B/s]

                                                                                
sub-MPI_acq-coilQaSagSmall_GFactor.nii.gz:  53%|▌| 1.86M/3.53M [00:00<00:00, 7.2
sub-MPI_acq-famp_TB1DREAM.json:   0%|               | 0.00/2.06k [00:00<?, ?B/s]

                                                                                



sub-MPI_acq-coilQaTra_GFactor.nii.gz:  12%| | 1.87M/15.5M [00:00<00:02, 6.76MB/s
sub-MPI_acq-famp-1.5_TB1DREAM.json:   0%|           | 0.00/2.08k [00:00<?, ?B/s]

                                                                                
sub-MPI_acq-coilQaSagSmall_GFactor.nii.gz:  73%|▋| 2.56M/3.53M [00:00<00:00, 6.9



sub-MPI_acq-coilQaTra_GFactor.nii.gz:  20%|▏| 3.02M/15.5M [00:00<00:01, 8.73MB/s
sub-MPI_acq-famp_TB1TFL.json:   0%|                 | 0.00/2.66k [00:00<?, ?B/s]

                                                                                
                                                                                
sub-MPI_acq-coilQaTra_GFactor.nii.gz:  26%|▎| 4.05M/15.5M [00:00<00:01, 9.38MB/s
sub-MPI_acq-refv-0.66_TB1DREAM.json:   0%|          | 0.00/2.09k [00:00<?, ?B/s]
                                                                                

sub-MPI_acq-famp_TB1DREAM.nii.gz:   0%|             | 0.00/87.5k [00:00<?, ?B/s]
                                                                                




sub-MPI_acq-coilQaTra_GFactor.nii.gz:  39%|▍| 6.00M/15.5M [00:00<00:00, 12.9MB/s
sub-MPI_acq-refv_TB1DREAM.json:   0%|               | 0.00/2.07k [00:00<?, ?B/s]
                                                                                




sub-MPI_acq-coilQaTra_GFactor.nii.gz:  61%|▌| 9.42M/15.5M [00:00<00:00, 20.1MB/s
sub-MPI_acq-refv-0.66_TB1DREAM.nii.gz:   0%|        | 0.00/80.7k [00:00<?, ?B/s]
sub-MPI_acq-famp_TB1TFL.nii.gz:   0%|                | 0.00/933k [00:00<?, ?B/s]
                                                                                
sub-MPI_acq-refv-1.5_TB1DREAM.nii.gz:   0%|         | 0.00/93.2k [00:00<?, ?B/s]



sub-MPI_acq-coilQaTra_GFactor.nii.gz:  77%|▊| 12.0M/15.5M [00:00<00:00, 22.2MB/s
sub-MPI_acq-famp_TB1TFL.nii.gz:  54%|████▎   | 509k/933k [00:00<00:00, 5.19MB/s]
                                                                                

sub-MPI_acq-refv-1.5_TB1DREAM.json:   0%|           | 0.00/2.09k [00:00<?, ?B/s]
                                                                                
                                                                                
sub-MPI_acq-coilQaTra_GFactor.nii.gz:  91%|▉| 14.1M/15.5M [00:00<00:00, 19.0MB/s
                                                                                
sub-MSSM_rec-uncombined11_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]
                                                                                
sub-MSSM_rec-uncombined10_T2starw.nii.gz:   0%|      | 0.00/974k [00:00<?, ?B/s]

sub-MPI_acq-refv_TB1DREAM.nii.gz:   0%|             | 0.00/84.7k [00:00<?, ?B/s]


sub-MSSM_rec-uncombined10_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]


                                                                                
sub-MSSM_T2starw.json:   0%|                        | 0.00/2.53k [00:00<?, ?B/s]


                                                                                
                                                                                

sub-MSSM_T2starw.nii.gz:   0%|                      | 0.00/1.74M [00:00<?, ?B/s]
sub-MSSM_rec-uncombined10_T2starw.nii.gz:  14%|▏| 135k/974k [00:00<00:00, 1.11MB
                                                                                
sub-MSSM_T2starw.nii.gz:  65%|████████▍    | 1.13M/1.74M [00:00<00:00, 11.8MB/s]
                                                                                
sub-MSSM_rec-uncombined13_T2starw.nii.gz:   0%|     | 0.00/1.12M [00:00<?, ?B/s]

sub-MSSM_rec-uncombined12_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]

                                                                                
sub-MSSM_rec-uncombined11_T2starw.nii.gz:   0%|      | 0.00/934k [00:00<?, ?B/s]


sub-MSSM_rec-uncombined12_T2starw.nii.gz:   0%|      | 0.00/826k [00:00<?, ?B/s]
sub-MSSM_rec-uncombined13_T2starw.nii.gz:  26%|▎| 305k/1.12M [00:00<00:00, 3.00M



sub-MSSM_rec-uncombined13_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]



                                                                                
sub-MSSM_rec-uncombined12_T2starw.nii.gz:  49%|▍| 408k/826k [00:00<00:00, 3.96MB

sub-MSSM_rec-uncombined11_T2starw.nii.gz:  18%|▏| 169k/934k [00:00<00:00, 1.62MB


                                                                                
sub-MSSM_rec-uncombined13_T2starw.nii.gz:  83%|▊| 952k/1.12M [00:00<00:00, 4.54M


sub-MSSM_rec-uncombined15_T2starw.nii.gz:   0%|      | 0.00/934k [00:00<?, ?B/s]
                                                                                
sub-MSSM_rec-uncombined11_T2starw.nii.gz:  91%|▉| 850k/934k [00:00<00:00, 4.26MB

                                                                                
sub-MSSM_rec-uncombined14_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]
                                                                                
sub-MSSM_rec-uncombined15_T2starw.nii.gz:  42%|▍| 390k/934k [00:00<00:00, 3.02MB
sub-MSSM_rec-uncombined16_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]
                                                                                
sub-MSSM_rec-uncombined15_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]
                                                                                



                                                                                
sub-MSSM_rec-uncombined14_T2starw.nii.gz:   0%|      | 0.00/949k [00:00<?, ?B/s]

sub-MSSM_rec-uncombined18_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]

                                                                                
sub-MSSM_rec-uncombined16_T2starw.nii.gz:   0%|     | 0.00/1.06M [00:00<?, ?B/s]


sub-MSSM_rec-uncombined18_T2starw.nii.gz:   0%|      | 0.00/695k [00:00<?, ?B/s]
sub-MSSM_rec-uncombined14_T2starw.nii.gz:  16%|▏| 152k/949k [00:00<00:00, 1.30MB



sub-MSSM_rec-uncombined17_T2starw.nii.gz:   0%|      | 0.00/721k [00:00<?, ?B/s]
sub-MSSM_rec-uncombined16_T2starw.nii.gz:  35%|▎| 374k/1.06M [00:00<00:00, 3.81M


sub-MSSM_rec-uncombined18_T2starw.nii.gz:  66%|▋| 459k/695k [00:00<00:00, 4.68MB


                                                                                
sub-MSSM_rec-uncombined17_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]


                                                                                
sub-MSSM_rec-uncombined14_T2starw.nii.gz:  77%|▊| 731k/949k [00:00<00:00, 3.41MB



sub-MSSM_rec-uncombined17_T2starw.nii.gz:  26%|▎| 186k/721k [00:00<00:00, 1.56MB

sub-MSSM_rec-uncombined16_T2starw.nii.gz:  71%|▋| 765k/1.06M [00:00<00:00, 3.91M
                                                                                
                                                                                
sub-MSSM_rec-uncombined17_T2starw.nii.gz:  99%|▉| 713k/721k [00:00<00:00, 3.62MB



                                                                                
sub-MSSM_rec-uncombined1_T2starw.nii.gz:   0%|       | 0.00/927k [00:00<?, ?B/s]

sub-MSSM_rec-uncombined19_T2starw.nii.gz:   0%|      | 0.00/896k [00:00<?, ?B/s]

sub-MSSM_rec-uncombined1_T2starw.json:   0%|        | 0.00/2.36k [00:00<?, ?B/s]


                                                                                


sub-MSSM_rec-uncombined20_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]


                                                                                
sub-MSSM_rec-uncombined1_T2starw.nii.gz:  20%|▏| 186k/927k [00:00<00:00, 1.46MB/

sub-MSSM_rec-uncombined19_T2starw.nii.gz:  30%|▎| 272k/896k [00:00<00:00, 2.26MB


sub-MSSM_rec-uncombined19_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]


                                                                                
                                                                                
sub-MSSM_rec-uncombined1_T2starw.nii.gz:  92%|▉| 849k/927k [00:00<00:00, 4.12MB/
                                                                                
sub-MSSM_rec-uncombined22_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]
                                                                                

sub-MSSM_rec-uncombined20_T2starw.nii.gz:   0%|      | 0.00/582k [00:00<?, ?B/s]
                                                                                
sub-MSSM_rec-uncombined22_T2starw.nii.gz:   0%|      | 0.00/833k [00:00<?, ?B/s]

sub-MSSM_rec-uncombined21_T2starw.nii.gz:   0%|      | 0.00/831k [00:00<?, ?B/s]


sub-MSSM_rec-uncombined21_T2starw.json:   0%|       | 0.00/2.36k [00:00<?, ?B/s]


                                                                                


sub-MSSM_rec-uncombined2_T2starw.json:   0%|        | 0.00/2.36k [00:00<?, ?B/s]
                                                                                
sub-MSSM_rec-uncombined22_T2starw.nii.gz:  63%|▋| 526k/833k [00:00<00:00, 5.36MB

sub-MSSM_rec-uncombined21_T2starw.nii.gz:  39%|▍| 323k/831k [00:00<00:00, 3.29MB
                                                                                
sub-MSSM_rec-uncombined4_T2starw.json:   0%|        | 0.00/2.36k [00:00<?, ?B/s]
                                                                                


                                                                                
sub-MSSM_rec-uncombined2_T2starw.nii.gz:   0%|       | 0.00/871k [00:00<?, ?B/s]

sub-MSSM_rec-uncombined3_T2starw.nii.gz:   0%|       | 0.00/901k [00:00<?, ?B/s]
sub-MSSM_rec-uncombined5_T2starw.json:   0%|        | 0.00/2.36k [00:00<?, ?B/s]


                                                                                
sub-MSSM_rec-uncombined2_T2starw.nii.gz:  90%|▉| 781k/871k [00:00<00:00, 7.92MB/


sub-MSSM_rec-uncombined3_T2starw.json:   0%|        | 0.00/2.36k [00:00<?, ?B/s]


                                                                                
sub-MSSM_rec-uncombined3_T2starw.nii.gz:  38%|▍| 340k/901k [00:00<00:00, 3.02MB/
sub-MSSM_rec-uncombined5_T2starw.nii.gz:   0%|       | 0.00/980k [00:00<?, ?B/s]
                                                                                
                                                                                
sub-MSSM_rec-uncombined5_T2starw.nii.gz:  57%|▌| 560k/980k [00:00<00:00, 5.72MB/


                                                                                
sub-MSSM_rec-uncombined6_T2starw.json:   0%|        | 0.00/2.36k [00:00<?, ?B/s]
                                                                                
sub-MSSM_rec-uncombined4_T2starw.nii.gz:   0%|       | 0.00/891k [00:00<?, ?B/s]

sub-MSSM_rec-uncombined7_T2starw.json:   0%|        | 0.00/2.36k [00:00<?, ?B/s]

                                                                                
sub-MSSM_rec-uncombined6_T2starw.nii.gz:   0%|      | 0.00/0.98M [00:00<?, ?B/s]
sub-MSSM_rec-uncombined4_T2starw.nii.gz:  46%|▍| 408k/891k [00:00<00:00, 4.17MB/
                                                                                

sub-MSSM_rec-uncombined9_T2starw.json:   0%|        | 0.00/2.36k [00:00<?, ?B/s]
                                                                                
sub-MSSM_rec-uncombined6_T2starw.nii.gz:  81%|▊| 815k/0.98M [00:00<00:00, 6.79MB
sub-MSSM_rec-uncombined8_T2starw.nii.gz:   0%|       | 0.00/858k [00:00<?, ?B/s]

                                                                                
                                                                                
sub-MSSM_rec-uncombined8_T2starw.json:   0%|        | 0.00/2.36k [00:00<?, ?B/s]
                                                                                
sub-MSSM_rec-uncombined7_T2starw.nii.gz:   0%|       | 0.00/756k [00:00<?, ?B/s]

sub-MSSM_acq-coilQaSagSmall_GFactor.json:   0%|     | 0.00/2.14k [00:00<?, ?B/s]

                                                                                
sub-MSSM_rec-uncombined9_T2starw.nii.gz:   0%|       | 0.00/949k [00:00<?, ?B/s]
sub-MSSM_rec-uncombined7_T2starw.nii.gz:  52%|▌| 390k/756k [00:00<00:00, 3.55MB/
                                                                                
sub-MSSM_rec-uncombined9_T2starw.nii.gz:  43%|▍| 407k/949k [00:00<00:00, 4.11MB/
sub-MSSM_acq-coilQaSagLarge_SNR.json:   0%|         | 0.00/2.10k [00:00<?, ?B/s]
                                                                                
                                                                                
sub-MSSM_acq-coilQaSagSmall_GFactor.nii.gz:   0%|   | 0.00/4.19M [00:00<?, ?B/s]

sub-MSSM_acq-coilQaSagLarge_SNR.nii.gz:   0%|       | 0.00/3.94M [00:00<?, ?B/s]
sub-MSSM_acq-famp-1.5_TB1DREAM.json:   0%|          | 0.00/2.10k [00:00<?, ?B/s]


                                                                                
sub-MSSM_acq-coilQaSagSmall_GFactor.nii.gz:  20%|▏| 849k/4.19M [00:00<00:00, 7.1


sub-MSSM_acq-famp-0.66_TB1DREAM.json:   0%|         | 0.00/2.10k [00:00<?, ?B/s]


                                                                                
sub-MSSM_acq-coilQaSagLarge_SNR.nii.gz:   4%| | 169k/3.94M [00:00<00:02, 1.48MB/
sub-MSSM_acq-coilQaSagSmall_GFactor.nii.gz:  44%|▍| 1.83M/4.19M [00:00<00:00, 8.


sub-MSSM_acq-coilQaTra_GFactor.nii.gz:   0%|        | 0.00/16.8M [00:00<?, ?B/s]
sub-MSSM_acq-coilQaSagLarge_SNR.nii.gz:  42%|▍| 1.64M/3.94M [00:00<00:00, 9.18MB



sub-MSSM_acq-coilQaTra_GFactor.json:   0%|          | 0.00/2.05k [00:00<?, ?B/s]



                                                                                
sub-MSSM_acq-coilQaSagSmall_GFactor.nii.gz:  66%|▋| 2.77M/4.19M [00:00<00:00, 9.



sub-MSSM_acq-famp-0.66_TB1DREAM.nii.gz:   0%|       | 0.00/89.1k [00:00<?, ?B/s]


sub-MSSM_acq-coilQaTra_GFactor.nii.gz:   2%| | 339k/16.8M [00:00<00:05, 3.33MB/s
                                                                                

sub-MSSM_acq-coilQaSagLarge_SNR.nii.gz:  65%|▋| 2.57M/3.94M [00:00<00:00, 8.72MB
sub-MSSM_acq-coilQaSagSmall_GFactor.nii.gz:  88%|▉| 3.68M/4.19M [00:00<00:00, 9.


sub-MSSM_acq-coilQaTra_GFactor.nii.gz:   6%| | 1.03M/16.8M [00:00<00:02, 5.64MB/
                                                                                


sub-MSSM_acq-coilQaSagLarge_SNR.nii.gz:  87%|▊| 3.44M/3.94M [00:00<00:00, 8.37MB
                                                                                


sub-MSSM_acq-coilQaTra_GFactor.nii.gz:  10%| | 1.61M/16.8M [00:00<00:02, 5.67MB/
sub-MSSM_acq-famp-1.5_TB1DREAM.nii.gz:   0%|        | 0.00/89.9k [00:00<?, ?B/s]
                                                                                
sub-MSSM_acq-famp_TB1DREAM.json:   0%|              | 0.00/2.10k [00:00<?, ?B/s]
                                                                                
sub-MSSM_acq-coilQaTra_GFactor.nii.gz:  27%|▎| 4.59M/16.8M [00:00<00:00, 13.9MB/
sub-MSSM_acq-famp_TB1TFL.json:   0%|                | 0.00/2.50k [00:00<?, ?B/s]
                                                                                
sub-MSSM_acq-famp_TB1TFL.nii.gz:   0%|               | 0.00/809k [00:00<?, ?B/s]
sub-MSSM_acq-coilQaTra_GFactor.nii.gz:  46%|▍| 7.73M/16.8M [00:00<00:00, 20.1MB/
sub-MSSM_acq-refv_TB1DREAM.json:   0%|              | 0.00/2.12k [00:00<?, ?B/s]



sub-MSSM_acq-refv-0.66_TB1DREAM.json:   0%|         | 0.00/2.12k [00:00<?, ?B/s]

                                                                                
sub-MSSM_acq-famp_TB1TFL.nii.gz:  50%|███▌   | 407k/809k [00:00<00:00, 4.04MB/s]



                                                                                
sub-MSSM_acq-famp_TB1DREAM.nii.gz:   0%|            | 0.00/89.8k [00:00<?, ?B/s]


sub-MSSM_acq-coilQaTra_GFactor.nii.gz:  58%|▌| 9.65M/16.8M [00:00<00:00, 19.1MB/

                                                                                
sub-MSSM_acq-famp_TB1TFL.nii.gz: 100%|███████| 809k/809k [00:00<00:00, 3.63MB/s]
                                                                                
sub-MSSM_acq-coilQaTra_GFactor.nii.gz:  68%|▋| 11.5M/16.8M [00:00<00:00, 18.0MB/
sub-MSSM_acq-refv-1.5_TB1DREAM.json:   0%|          | 0.00/2.12k [00:00<?, ?B/s]
                                                                                
sub-MSSM_acq-coilQaTra_GFactor.nii.gz:  92%|▉| 15.4M/16.8M [00:00<00:00, 24.3MB/
sub-MSSM_acq-refv-0.66_TB1DREAM.nii.gz:   0%|       | 0.00/87.2k [00:00<?, ?B/s]


                                                                                
sub-MSSM_acq-refv-1.5_TB1DREAM.nii.gz:   0%|        | 0.00/90.7k [00:00<?, ?B/s]
                                                                                


                                                                                
sub-NTNU_T2starw.json:   0%|                        | 0.00/2.47k [00:00<?, ?B/s]
                                                                                
sub-MSSM_acq-refv_TB1DREAM.nii.gz:   0%|            | 0.00/89.8k [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined01_T2starw.nii.gz:   0%|      | 0.00/981k [00:00<?, ?B/s]
sub-NTNU_rec-uncombined02_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]

                                                                                
sub-NTNU_rec-uncombined01_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]


sub-NTNU_T2starw.nii.gz:   0%|                      | 0.00/1.18M [00:00<?, ?B/s]

                                                                                
sub-NTNU_rec-uncombined01_T2starw.nii.gz:  17%|▏| 169k/981k [00:00<00:00, 1.42MB
sub-NTNU_rec-uncombined02_T2starw.nii.gz:   0%|      | 0.00/939k [00:00<?, ?B/s]
                                                                                



sub-NTNU_T2starw.nii.gz:  25%|███▌          | 305k/1.18M [00:00<00:00, 2.46MB/s]
sub-NTNU_rec-uncombined03_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined02_T2starw.nii.gz:  45%|▍| 425k/939k [00:00<00:00, 3.46MB
sub-NTNU_rec-uncombined04_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                
sub-NTNU_T2starw.nii.gz:  68%|█████████▍    | 816k/1.18M [00:00<00:00, 3.92MB/s]

                                                                                
                                                                                
sub-NTNU_rec-uncombined05_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined03_T2starw.nii.gz:   0%|      | 0.00/988k [00:00<?, ?B/s]

sub-NTNU_rec-uncombined04_T2starw.nii.gz:   0%|      | 0.00/975k [00:00<?, ?B/s]
sub-NTNU_rec-uncombined03_T2starw.nii.gz:  82%|▊| 815k/988k [00:00<00:00, 8.33MB


sub-NTNU_rec-uncombined06_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]


                                                                                

sub-NTNU_rec-uncombined04_T2starw.nii.gz:  33%|▎| 322k/975k [00:00<00:00, 3.02MB
                                                                                
sub-NTNU_rec-uncombined06_T2starw.nii.gz:   0%|      | 0.00/961k [00:00<?, ?B/s]


sub-NTNU_rec-uncombined05_T2starw.nii.gz:   0%|      | 0.00/968k [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined07_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]

                                                                                
sub-NTNU_rec-uncombined06_T2starw.nii.gz:  57%|▌| 544k/961k [00:00<00:00, 4.60MB


sub-NTNU_rec-uncombined05_T2starw.nii.gz:  34%|▎| 327k/968k [00:00<00:00, 2.78MB
                                                                                
                                                                                
sub-NTNU_rec-uncombined09_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                

sub-NTNU_rec-uncombined07_T2starw.nii.gz:   0%|     | 0.00/0.99M [00:00<?, ?B/s]
sub-NTNU_rec-uncombined08_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]

                                                                                
sub-NTNU_rec-uncombined07_T2starw.nii.gz:  30%|▎| 305k/0.99M [00:00<00:00, 3.10M
sub-NTNU_rec-uncombined10_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]

                                                                                

sub-NTNU_rec-uncombined11_T2starw.nii.gz:   0%|     | 0.00/1.01M [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined08_T2starw.nii.gz:   0%|      | 0.00/944k [00:00<?, ?B/s]

                                                                                
sub-NTNU_rec-uncombined08_T2starw.nii.gz:  17%|▏| 164k/944k [00:00<00:00, 1.64MB

sub-NTNU_rec-uncombined11_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]

                                                                                
sub-NTNU_rec-uncombined09_T2starw.nii.gz:   0%|     | 0.00/0.99M [00:00<?, ?B/s]


sub-NTNU_rec-uncombined12_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]


                                                                                
sub-NTNU_rec-uncombined10_T2starw.nii.gz:   0%|      | 0.00/998k [00:00<?, ?B/s]
sub-NTNU_rec-uncombined08_T2starw.nii.gz:  89%|▉| 837k/944k [00:00<00:00, 4.69MB
                                                                                
sub-NTNU_rec-uncombined09_T2starw.nii.gz:  20%|▏| 203k/0.99M [00:00<00:00, 2.06M
sub-NTNU_rec-uncombined10_T2starw.nii.gz:  65%|▋| 646k/998k [00:00<00:00, 6.59MB

                                                                                
                                                                                
sub-NTNU_rec-uncombined14_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined13_T2starw.nii.gz:   0%|      | 0.00/999k [00:00<?, ?B/s]

sub-NTNU_rec-uncombined12_T2starw.nii.gz:   0%|     | 0.00/1.00M [00:00<?, ?B/s]
sub-NTNU_rec-uncombined13_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]


                                                                                
sub-NTNU_rec-uncombined13_T2starw.nii.gz:  39%|▍| 390k/999k [00:00<00:00, 3.87MB

sub-NTNU_rec-uncombined12_T2starw.nii.gz:  23%|▏| 237k/1.00M [00:00<00:00, 2.42M


sub-NTNU_rec-uncombined14_T2starw.nii.gz:   0%|     | 0.00/1.03M [00:00<?, ?B/s]
                                                                                
                                                                                


sub-NTNU_rec-uncombined14_T2starw.nii.gz:  31%|▎| 322k/1.03M [00:00<00:00, 2.85M
sub-NTNU_rec-uncombined15_T2starw.nii.gz:   0%|     | 0.00/0.99M [00:00<?, ?B/s]

sub-NTNU_rec-uncombined15_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]

                                                                                
                                                                                
sub-NTNU_rec-uncombined15_T2starw.nii.gz:  30%|▎| 305k/0.99M [00:00<00:00, 3.05M
                                                                                

sub-NTNU_rec-uncombined16_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined17_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                

sub-NTNU_rec-uncombined16_T2starw.nii.gz:   0%|      | 0.00/998k [00:00<?, ?B/s]

sub-NTNU_rec-uncombined18_T2starw.nii.gz:   0%|      | 0.00/919k [00:00<?, ?B/s]
sub-NTNU_rec-uncombined19_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]


                                                                                
sub-NTNU_rec-uncombined16_T2starw.nii.gz:  39%|▍| 390k/998k [00:00<00:00, 3.95MB

sub-NTNU_rec-uncombined18_T2starw.nii.gz:  44%|▍| 408k/919k [00:00<00:00, 4.17MB
                                                                                
                                                                                
sub-NTNU_rec-uncombined18_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined17_T2starw.nii.gz:   0%|      | 0.00/932k [00:00<?, ?B/s]

sub-NTNU_rec-uncombined19_T2starw.nii.gz:   0%|      | 0.00/971k [00:00<?, ?B/s]
sub-NTNU_rec-uncombined21_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]


                                                                                
sub-NTNU_rec-uncombined17_T2starw.nii.gz:  32%|▎| 301k/932k [00:00<00:00, 3.08MB

sub-NTNU_rec-uncombined19_T2starw.nii.gz:  58%|▌| 560k/971k [00:00<00:00, 5.73MB
                                                                                


                                                                                
sub-NTNU_rec-uncombined20_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined21_T2starw.nii.gz:   0%|      | 0.00/949k [00:00<?, ?B/s]

sub-NTNU_rec-uncombined20_T2starw.nii.gz:   0%|      | 0.00/947k [00:00<?, ?B/s]
                                                                                


sub-NTNU_rec-uncombined20_T2starw.nii.gz:  66%|▋| 629k/947k [00:00<00:00, 5.08MB

                                                                                
sub-NTNU_rec-uncombined22_T2starw.nii.gz:   0%|      | 0.00/948k [00:00<?, ?B/s]

sub-NTNU_rec-uncombined22_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]

                                                                                
sub-NTNU_rec-uncombined24_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]

                                                                                
sub-NTNU_rec-uncombined22_T2starw.nii.gz:  16%|▏| 148k/948k [00:00<00:00, 1.51MB

sub-NTNU_rec-uncombined23_T2starw.json:   0%|       | 0.00/2.49k [00:00<?, ?B/s]
                                                                                
                                                                                
sub-NTNU_rec-uncombined24_T2starw.nii.gz:   0%|      | 0.00/951k [00:00<?, ?B/s]
sub-NTNU_rec-uncombined23_T2starw.nii.gz:   0%|      | 0.00/944k [00:00<?, ?B/s]


sub-NTNU_acq-coilQaSagLarge_SNR.json:   0%|         | 0.00/2.21k [00:00<?, ?B/s]


                                                                                
sub-NTNU_rec-uncombined24_T2starw.nii.gz:  50%|▍| 472k/951k [00:00<00:00, 4.04MB


sub-NTNU_acq-coilQaSagLarge_SNR.nii.gz:   0%|       | 0.00/3.93M [00:00<?, ?B/s]
sub-NTNU_rec-uncombined23_T2starw.nii.gz:  29%|▎| 272k/944k [00:00<00:00, 2.76MB
                                                                                
sub-NTNU_acq-coilQaSagLarge_SNR.nii.gz:   9%| | 373k/3.93M [00:00<00:01, 3.68MB/
sub-NTNU_acq-anat_TB1TFL.json:   0%|                | 0.00/2.71k [00:00<?, ?B/s]
                                                                                
sub-NTNU_rec-uncombined23_T2starw.nii.gz:  81%|▊| 765k/944k [00:00<00:00, 4.10MB

                                                                                
sub-NTNU_acq-coilQaSagLarge_SNR.nii.gz:  22%|▏| 900k/3.93M [00:00<00:00, 4.67MB/
sub-NTNU_acq-anat_TB1TFL.nii.gz:   0%|               | 0.00/727k [00:00<?, ?B/s]
sub-NTNU_acq-famp-0.66_TB1DREAM.json:   0%|         | 0.00/2.19k [00:00<?, ?B/s]

                                                                                
sub-NTNU_acq-coilQaSagLarge_SNR.nii.gz:  55%|▌| 2.17M/3.93M [00:00<00:00, 8.20MB

sub-NTNU_acq-coilQaSagSmall_GFactor.json:   0%|     | 0.00/2.23k [00:00<?, ?B/s]

                                                                                
sub-NTNU_acq-anat_TB1TFL.nii.gz:  23%|█▌     | 169k/727k [00:00<00:00, 1.49MB/s]
                                                                                



sub-NTNU_acq-coilQaSagLarge_SNR.nii.gz:  76%|▊| 2.98M/3.93M [00:00<00:00, 8.15MB
sub-NTNU_acq-coilQaSagSmall_GFactor.nii.gz:   0%|   | 0.00/3.58M [00:00<?, ?B/s]
                                                                                

sub-NTNU_acq-coilQaTra_GFactor.json:   0%|          | 0.00/2.12k [00:00<?, ?B/s]

                                                                                
sub-NTNU_acq-coilQaSagSmall_GFactor.nii.gz:  10%| | 385k/3.58M [00:00<00:00, 3.9
sub-NTNU_acq-coilQaTra_GFactor.nii.gz:   0%|        | 0.00/15.5M [00:00<?, ?B/s]
sub-NTNU_acq-famp_TB1DREAM.nii.gz:   0%|            | 0.00/88.2k [00:00<?, ?B/s]
sub-NTNU_acq-coilQaSagSmall_GFactor.nii.gz:  97%|▉| 3.48M/3.58M [00:00<00:00, 20
                                                                                
sub-NTNU_acq-famp_TB1DREAM.json:   0%|              | 0.00/2.18k [00:00<?, ?B/s]



sub-NTNU_acq-famp-1.5_TB1DREAM.json:   0%|          | 0.00/2.19k [00:00<?, ?B/s]
                                                                                




                                                                                


                                                                                
sub-NTNU_acq-coilQaTra_GFactor.nii.gz:   1%| | 170k/15.5M [00:00<00:12, 1.27MB/s
sub-NTNU_acq-coilQaTra_GFactor.nii.gz:  13%|▏| 2.01M/15.5M [00:00<00:01, 10.5MB/
sub-NTNU_acq-famp_TB1TFL.json:   0%|                | 0.00/2.73k [00:00<?, ?B/s]
                                                                                
sub-NTNU_acq-famp-1.5_TB1DREAM.nii.gz:   0%|        | 0.00/89.8k [00:00<?, ?B/s]


sub-NTNU_acq-famp-0.66_TB1DREAM.nii.gz:   0%|       | 0.00/87.3k [00:00<?, ?B/s]

sub-NTNU_acq-coilQaTra_GFactor.nii.gz:  30%|▎| 4.60M/15.5M [00:00<00:00, 17.5MB/



sub-NTNU_acq-refv-0.66_TB1DREAM.nii.gz:   0%|       | 0.00/81.5k [00:00<?, ?B/s]
                                                                                
                                                                                



                                                                                
sub-NTNU_acq-coilQaTra_GFactor.nii.gz:  41%|▍| 6.42M/15.5M [00:00<00:00, 15.3MB/
sub-NTNU_acq-refv-0.66_TB1DREAM.json:   0%|         | 0.00/2.20k [00:00<?, ?B/s]
                                                                                
sub-NTNU_acq-coilQaTra_GFactor.nii.gz:  62%|▌| 9.56M/15.5M [00:00<00:00, 20.8MB/
sub-NTNU_acq-famp_TB1TFL.nii.gz:   0%|               | 0.00/910k [00:00<?, ?B/s]


sub-NTNU_acq-refv-1.5_TB1DREAM.json:   0%|          | 0.00/2.20k [00:00<?, ?B/s]


                                                                                
sub-NTNU_acq-refv_TB1DREAM.nii.gz:   0%|            | 0.00/86.1k [00:00<?, ?B/s]
                                                                                

sub-NTNU_acq-coilQaTra_GFactor.nii.gz:  76%|▊| 11.8M/15.5M [00:00<00:00, 20.7MB/


sub-UCL_T2starw.json:   0%|                         | 0.00/2.45k [00:00<?, ?B/s]
sub-NTNU_acq-famp_TB1TFL.nii.gz:  15%|█      | 137k/910k [00:00<00:00, 1.39MB/s]


                                                                                
                                                                                
sub-NTNU_acq-coilQaTra_GFactor.nii.gz:  90%|▉| 13.9M/15.5M [00:00<00:00, 19.1MB/

                                                                                
sub-NTNU_acq-refv_TB1DREAM.json:   0%|              | 0.00/2.19k [00:00<?, ?B/s]

sub-NTNU_acq-refv-1.5_TB1DREAM.nii.gz:   0%|        | 0.00/93.4k [00:00<?, ?B/s]
                                                                                

sub-UCL_T2starw.nii.gz:   0%|                       | 0.00/1.01M [00:00<?, ?B/s]
                                                                                
sub-UCL_rec-uncombined1_T2starw.json:   0%|         | 0.00/2.46k [00:00<?, ?B/s]

                                                                                
sub-UCL_T2starw.nii.gz:  29%|████▎          | 300k/1.01M [00:00<00:00, 2.83MB/s]
sub-UCL_rec-uncombined3_T2starw.json:   0%|         | 0.00/2.46k [00:00<?, ?B/s]

                                                                                
                                                                                
sub-UCL_rec-uncombined1_T2starw.nii.gz:   0%|        | 0.00/860k [00:00<?, ?B/s]

sub-UCL_rec-uncombined2_T2starw.json:   0%|         | 0.00/2.46k [00:00<?, ?B/s]

                                                                                
sub-UCL_rec-uncombined2_T2starw.nii.gz:   0%|        | 0.00/841k [00:00<?, ?B/s]
                                                                                
                                                                                
sub-UCL_rec-uncombined3_T2starw.nii.gz:   0%|        | 0.00/813k [00:00<?, ?B/s]

sub-UCL_rec-uncombined4_T2starw.json:   0%|         | 0.00/2.46k [00:00<?, ?B/s]

                                                                                
sub-UCL_rec-uncombined4_T2starw.nii.gz:   0%|        | 0.00/796k [00:00<?, ?B/s]
sub-UCL_rec-uncombined5_T2starw.json:   0%|         | 0.00/2.46k [00:00<?, ?B/s]


                                                                                
sub-UCL_rec-uncombined3_T2starw.nii.gz:  40%|▍| 323k/813k [00:00<00:00, 2.72MB/s

sub-UCL_rec-uncombined4_T2starw.nii.gz:  63%|▋| 505k/796k [00:00<00:00, 5.15MB/s
                                                                                

sub-UCL_rec-uncombined6_T2starw.json:   0%|         | 0.00/2.46k [00:00<?, ?B/s]
                                                                                
sub-UCL_rec-uncombined5_T2starw.nii.gz:   0%|        | 0.00/935k [00:00<?, ?B/s]

                                                                                

sub-UCL_rec-uncombined7_T2starw.json:   0%|         | 0.00/2.46k [00:00<?, ?B/s]

                                                                                
sub-UCL_rec-uncombined5_T2starw.nii.gz:  82%|▊| 764k/935k [00:00<00:00, 7.81MB/s
                                                                                
sub-UCL_rec-uncombined8_T2starw.json:   0%|         | 0.00/2.46k [00:00<?, ?B/s]
                                                                                
sub-UCL_rec-uncombined6_T2starw.nii.gz:   0%|        | 0.00/821k [00:00<?, ?B/s]

sub-UCL_rec-uncombined7_T2starw.nii.gz:   0%|        | 0.00/788k [00:00<?, ?B/s]
sub-UCL_rec-uncombined8_T2starw.nii.gz:   0%|        | 0.00/782k [00:00<?, ?B/s]
sub-UCL_acq-anat_TB1TFL.json:   0%|                 | 0.00/2.68k [00:00<?, ?B/s]



                                                                                

sub-UCL_rec-uncombined7_T2starw.nii.gz:  47%|▍| 373k/788k [00:00<00:00, 3.57MB/s
sub-UCL_rec-uncombined6_T2starw.nii.gz:  43%|▍| 356k/821k [00:00<00:00, 3.17MB/s
sub-UCL_rec-uncombined8_T2starw.nii.gz:  48%|▍| 373k/782k [00:00<00:00, 3.76MB/s



sub-UCL_acq-anat_TB1TFL.nii.gz:   0%|                | 0.00/847k [00:00<?, ?B/s]

                                                                                
                                                                                
                                                                                



sub-UCL_acq-anat_TB1TFL.nii.gz:  30%|██▍     | 254k/847k [00:00<00:00, 2.30MB/s]
sub-UCL_acq-coilQaSagLarge_SNR.json:   0%|          | 0.00/2.18k [00:00<?, ?B/s]
                                                                                




                                                                                
sub-UCL_acq-coilQaSagSmall_GFactor.json:   0%|      | 0.00/2.20k [00:00<?, ?B/s]
                                                                                
sub-UCL_acq-coilQaSagLarge_SNR.nii.gz:   0%|        | 0.00/3.76M [00:00<?, ?B/s]

sub-UCL_acq-coilQaTra_GFactor.json:   0%|           | 0.00/2.10k [00:00<?, ?B/s]

                                                                                
sub-UCL_acq-coilQaSagLarge_SNR.nii.gz:  18%|▏| 696k/3.76M [00:00<00:00, 7.11MB/s

sub-UCL_acq-coilQaSagSmall_GFactor.nii.gz:   0%|    | 0.00/2.64M [00:00<?, ?B/s]
sub-UCL_acq-coilQaSagLarge_SNR.nii.gz:  98%|▉| 3.67M/3.76M [00:00<00:00, 21.3MB/

sub-UCL_acq-coilQaSagSmall_GFactor.nii.gz:  29%|▎| 781k/2.64M [00:00<00:00, 7.97
                                                                                

sub-UCL_acq-coilQaTra_GFactor.nii.gz:   0%|         | 0.00/11.7M [00:00<?, ?B/s]
sub-UCL_acq-famp-0.66_TB1DREAM.nii.gz:   0%|        | 0.00/90.9k [00:00<?, ?B/s]
                                                                                

sub-UCL_acq-famp-0.66_TB1DREAM.json:   0%|          | 0.00/2.16k [00:00<?, ?B/s]

                                                                                
sub-UCL_acq-coilQaTra_GFactor.nii.gz:   2%| | 203k/11.7M [00:00<00:06, 1.75MB/s]

sub-UCL_acq-famp_TB1DREAM.json:   0%|               | 0.00/2.14k [00:00<?, ?B/s]

                                                                                
sub-UCL_acq-famp-0.66_TB1DREAM.nii.gz: 100%|█| 90.9k/90.9k [00:00<00:00, 726kB/s


                                                                                
sub-UCL_acq-coilQaTra_GFactor.nii.gz:   8%| | 985k/11.7M [00:00<00:02, 5.13MB/s]
sub-UCL_acq-famp_TB1TFL.json:   0%|                 | 0.00/2.71k [00:00<?, ?B/s]

                                                                                
sub-UCL_acq-coilQaTra_GFactor.nii.gz:  34%|▎| 4.00M/11.7M [00:00<00:00, 15.9MB/s

sub-UCL_acq-famp-1.5_TB1DREAM.nii.gz:   0%|         | 0.00/91.5k [00:00<?, ?B/s]


sub-UCL_acq-famp-1.5_TB1DREAM.json:   0%|           | 0.00/2.16k [00:00<?, ?B/s]


                                                                                
                                                                                
sub-UCL_acq-famp_TB1DREAM.nii.gz:   0%|             | 0.00/90.7k [00:00<?, ?B/s]
sub-UCL_acq-coilQaTra_GFactor.nii.gz:  48%|▍| 5.61M/11.7M [00:00<00:00, 16.3MB/s
                                                                                
sub-UCL_acq-refv-0.66_TB1DREAM.json:   0%|          | 0.00/2.17k [00:00<?, ?B/s]

                                                                                
sub-UCL_acq-coilQaTra_GFactor.nii.gz:  75%|▊| 8.82M/11.7M [00:00<00:00, 20.5MB/s
sub-UCL_acq-famp_TB1TFL.nii.gz:   0%|                | 0.00/921k [00:00<?, ?B/s]


sub-UCL_acq-refv-0.66_TB1DREAM.nii.gz:   0%|        | 0.00/81.8k [00:00<?, ?B/s]
                                                                                

sub-UCL_acq-refv-1.5_TB1DREAM.json:   0%|           | 0.00/2.17k [00:00<?, ?B/s]
                                                                                
                                                                                

sub-UCL_acq-famp_TB1TFL.nii.gz:  33%|██▋     | 306k/921k [00:00<00:00, 3.10MB/s]
                                                                                
sub-UCL_acq-refv-1.5_TB1DREAM.nii.gz:   0%|         | 0.00/88.7k [00:00<?, ?B/s]

sub-UCL_acq-refv_TB1DREAM.json:   0%|               | 0.00/2.16k [00:00<?, ?B/s]

                                                                                
                                                                                
sub-UCL_acq-refv_TB1DREAM.nii.gz:   0%|             | 0.00/86.0k [00:00<?, ?B/s]
                                                                                
✅ Finished downloading ds005090.
 
🧠 Please enjoy your brains.
 
# Define path (needs to be run in the root directory of the project)
path_data = os.path.join(os.getcwd(), "data-phantom/")
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}")
path_results = os.path.join(path_data, "derivatives", "results")

# Create results directory
os.makedirs(path_results, exist_ok=True)
path_data: /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/
subjects: ['sub-CRMBM', 'sub-MGH', 'sub-MNI', 'sub-MPI', 'sub-MSSM', 'sub-NTNU', 'sub-UCL']

Convert TFL and DREAM flip angle maps to B1+ in units of nT/V#

# 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.

for subject in subjects:
    os.chdir(os.path.join(path_data, subject, "fmap"))

    # 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]: 224.5 (sub-CRMBM_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-CRMBM_acq-famp_TB1TFL)
ref_voltage [V]: 419.5 (sub-MGH_acq-famp_TB1TFL)
flip angle [degrees]: 89.99 (sub-MGH_acq-famp_TB1TFL)
ref_voltage [V]: 464 (sub-MNI_acq-famp_TB1TFL)
flip angle [degrees]: 89.99 (sub-MNI_acq-famp_TB1TFL)
ref_voltage [V]: 408 (sub-MPI_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-MPI_acq-famp_TB1TFL)
ref_voltage [V]: 422 (sub-MSSM_acq-famp_TB1TFL)
flip angle [degrees]: 68 (sub-MSSM_acq-famp_TB1TFL)
ref_voltage [V]: 408 (sub-NTNU_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-NTNU_acq-famp_TB1TFL)
ref_voltage [V]: 270 (sub-UCL_acq-famp_TB1TFL)
flip angle [degrees]: 90 (sub-UCL_acq-famp_TB1TFL)
# 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

voltages = ["1.5", "0.66"]

for subject in subjects:
    
    b1_maps = []
    os.chdir(os.path.join(path_data, subject, "fmap"))

    # 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():
            
            # 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_16172/3268472193.py:89: RuntimeWarning: Mean of empty slice
  avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_16172/3268472193.py:89: RuntimeWarning: Mean of empty slice
  avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_16172/3268472193.py:89: RuntimeWarning: Mean of empty slice
  avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_16172/3268472193.py:89: RuntimeWarning: Mean of empty slice
  avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_16172/3268472193.py:89: RuntimeWarning: Mean of empty slice
  avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_16172/3268472193.py:89: RuntimeWarning: Mean of empty slice
  avgB1=np.nanmean(b1_maps,axis=0)
/tmp/ipykernel_16172/3268472193.py:89: RuntimeWarning: Mean of empty slice
  avgB1=np.nanmean(b1_maps,axis=0)
# Split SNR data across multiple volumes. The first volume corresponds to the SoS SNR reconstruction, which is
#  what we will use for SNR comparison.
for subject in subjects:
    os.chdir(os.path.join(path_data, subject, "fmap"))
    !sct_image -i {subject}_acq-coilQaSagLarge_SNR.nii.gz -split t -o {subject}_acq-coilQaSagLarge_SNR.nii.gz
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_image -i sub-CRMBM_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-CRMBM_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_image -i sub-MGH_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MGH_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_image -i sub-MNI_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MNI_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_image -i sub-MPI_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MPI_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_image -i sub-MSSM_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-MSSM_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_image -i sub-NTNU_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-NTNU_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_image -i sub-UCL_acq-coilQaSagLarge_SNR.nii.gz -split t -o sub-UCL_acq-coilQaSagLarge_SNR.nii.gz
--
Generate output files...

Generate approximate mask of spinal cord#

The purpose of this section is to generate an approximate mask of the spinal cord that will be used to quantify B1+ values inside the phantom. To do this, we identified a representative human subject, overlaid it on the anthropomorphic phantom, created a few pointwise labels along the spinal cord, interpolated those points using bsplines, and then created a cylindrical mask of 10mm diameter along the generated centerline.

image

os.chdir(os.path.join(path_data, "sub-CRMBM", "fmap"))

# Create labels on TFL B1+ map along an approximate spinal cord
! sct_label_utils -i "sub-CRMBM_acq-anat_TB1TFL.nii.gz" -create 49,108,23,1:49,99,23,1:49,88,23,1:50,76,23,1:55,63,23,1:62,51,23,1:68,35,23,1:72,26,23,1 -o "label_cord.nii.gz"
# Create spinal cord centerline
! sct_get_centerline -i "label_cord.nii.gz" -method fitseg -o "centerline_spinalcord.nii.gz"
# Create mask of 10mm diameter around centerline
! sct_create_mask -i "sub-CRMBM_acq-anat_TB1TFL.nii.gz" -p centerline,"centerline_spinalcord.nii.gz" -size 10mm -f cylinder -o "sub-CRMBM_TFLTB1map_mask.nii.gz"
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_label_utils -i sub-CRMBM_acq-anat_TB1TFL.nii.gz -create 49,108,23,1:49,99,23,1:49,88,23,1:50,76,23,1:55,63,23,1:62,51,23,1:68,35,23,1:72,26,23,1 -o label_cord.nii.gz
--
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_get_centerline -i label_cord.nii.gz -method fitseg -o centerline_spinalcord.nii.gz
--
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_create_mask -i sub-CRMBM_acq-anat_TB1TFL.nii.gz -p centerline,centerline_spinalcord.nii.gz -size 10mm -f cylinder -o sub-CRMBM_TFLTB1map_mask.nii.gz
--

  OK: centerline_spinalcord.nii.gz
Creating temporary folder (/tmp/sct_2024-11-05_21-30-39_create-mask_rrc9892g)

Orientation:
  AIR

Dimensions:
(56, 88, 144, 1, 2.467333, 2.361111, 2.361111, 1)

Create mask...
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'int64'. Header metadata will be overwritten to use 'int64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Image header specifies datatype 'uint8', 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'.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-30-39_create-mask_rrc9892g

Co-register fmap data#

The purpose of this section if to co-register phantom data across sites, to produce figures showing consistent placement of the phantom across sites, and to be able to use a single mask of the approximate spinal cord for quantitative analysis.

The co-registration uses programatically-created labels that correspond to the posterior tip of the phantom, at the inflexion point:

image

# Create dictionary of labels across sites
labels_phantom_TFL = {
    'sub-CRMBM': '68,88,23',
    'sub-MGH': '61,98,26',
    'sub-MNI': '69,87,26',
    'sub-MPI': '67,95,27',
    'sub-MSSM': '73,65,28',
    'sub-NTNU': '64,96,29',
    'sub-UCL': '68,97,28',
}

# Define reference subject and suffix
subject_ref = 'sub-CRMBM'
suffix_ref = 'TFLTB1map'
suffixes = ["TFLTB1map", "DREAMTB1avgB1map", "acq-coilQaSagLarge_SNR_T0000"]

# Create labels for all suffixes, for all subjects
for subject in subjects:
    print(f"👉 CREATE LABELS FOR: {subject}")
    os.chdir(os.path.join(path_data, subject, "fmap"))
    !sct_label_utils -i {subject}_{suffix_ref}.nii.gz -create {labels_phantom_TFL[subject]},1 -o {subject}_{suffix_ref}_label.nii.gz
    # Register label from TFLTB1map to other metric using the qform matrix (ie: no optimization)
    for suffix in [other_suffixes for other_suffixes in suffixes if other_suffixes != suffix_ref]:
        !sct_register_multimodal -i {subject}_{suffix_ref}_label.nii.gz -d {subject}_{suffix}.nii.gz -identity 1
        !sct_apply_transfo -i {subject}_{suffix_ref}_label.nii.gz -d {subject}_{suffix}.nii.gz -w warp_{subject}_{suffix_ref}_label2{subject}_{suffix}.nii.gz -x label -o {subject}_{suffix}_label.nii.gz

# Register other scans to the reference scan
for subject in subjects:
    print(f"👉 REGISTER: {subject}")
    for suffix in suffixes:
        os.chdir(os.path.join(path_data, subject, "fmap"))
        # Perform registration
        !sct_register_multimodal -i {subject}_{suffix}.nii.gz -ilabel {subject}_{suffix}_label.nii.gz -d {path_data}{subject_ref}/fmap/{subject_ref}_{suffix}.nii.gz -dlabel {path_data}{subject_ref}/fmap/{subject_ref}_{suffix}_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0

# Register TFL B1+ spinal cord mask to DREAM and SNR reference scan
os.chdir(os.path.join(path_data, subject_ref, "fmap"))
for suffix in [other_suffixes for other_suffixes in suffixes if other_suffixes != suffix_ref]:
    !sct_register_multimodal -i {subject_ref}_{suffix_ref}_mask.nii.gz -d {subject_ref}_{suffix}.nii.gz -identity 1 -o {subject_ref}_{suffix}_mask.nii.gz
👉 CREATE LABELS FOR: sub-CRMBM
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_label_utils -i sub-CRMBM_TFLTB1map.nii.gz -create 68,88,23,1 -o sub-CRMBM_TFLTB1map_label.nii.gz
--
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-CRMBM_TFLTB1map_label.nii.gz -d sub-CRMBM_DREAMTB1avgB1map.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-CRMBM_TFLTB1map_label.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-CRMBM_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'.
Creating temporary folder (/tmp/sct_2024-11-05_21-30-42_register-wrapper_rwweey_6)

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'.

--
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_21-30-42_register-wrapper_rwweey_6

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_21-30-42_register-wrapper_rwweey_6
/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_21-30-42_register-wrapper_rwweey_6

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-CRMBM_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-30-42_register-wrapper_rwweey_6/warp_src2dest.nii.gz warp_sub-CRMBM_TFLTB1map_label2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map_label2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-30-42_register-wrapper_rwweey_6/warp_dest2src.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-CRMBM_TFLTB1map_label.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-CRMBM_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-30-42_register-wrapper_rwweey_6

Finished! Elapsed time: 1s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-CRMBM_TFLTB1map_label.nii.gz -d sub-CRMBM_DREAMTB1avgB1map.nii.gz -w warp_sub-CRMBM_TFLTB1map_label2sub-CRMBM_DREAMTB1avgB1map.nii.gz -x label -o sub-CRMBM_DREAMTB1avgB1map_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-30-44_apply-transfo-3d-label_4nconse8)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-30-44_apply-transfo-3d-label_4nconse8/dilated_data.nii -o sub-CRMBM_DREAMTB1avgB1map_label.nii.gz -t warp_sub-CRMBM_TFLTB1map_label2sub-CRMBM_DREAMTB1avgB1map.nii.gz -r sub-CRMBM_DREAMTB1avgB1map.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.

Take the center of mass of each registered dilated labels...
File sub-CRMBM_DREAMTB1avgB1map_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-30-44_apply-transfo-3d-label_4nconse8
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-CRMBM_TFLTB1map_label.nii.gz -d sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-CRMBM_TFLTB1map_label.nii.gz (88, 144, 56)
  Destination ......... sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-30-45_register-wrapper_qxw8znbk)

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_21-30-45_register-wrapper_qxw8znbk

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_21-30-45_register-wrapper_qxw8znbk
/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_21-30-45_register-wrapper_qxw8znbk

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-CRMBM_TFLTB1map_label_reg.nii.gz already exists. Deleting it..
File created: sub-CRMBM_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-30-45_register-wrapper_qxw8znbk/warp_src2dest.nii.gz warp_sub-CRMBM_TFLTB1map_label2sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_TFLTB1map_label2sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-30-45_register-wrapper_qxw8znbk/warp_dest2src.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_TFLTB1map_label.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-30-45_register-wrapper_qxw8znbk

Finished! Elapsed time: 4s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-CRMBM_TFLTB1map_label.nii.gz -d sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-CRMBM_TFLTB1map_label2sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -x label -o sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-30-51_apply-transfo-3d-label_gzc0jr2k)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-30-51_apply-transfo-3d-label_gzc0jr2k/dilated_data.nii -o sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -t warp_sub-CRMBM_TFLTB1map_label2sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.

Take the center of mass of each registered dilated labels...
File sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-30-51_apply-transfo-3d-label_gzc0jr2k
👉 CREATE LABELS FOR: sub-MGH
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_label_utils -i sub-MGH_TFLTB1map.nii.gz -create 61,98,26,1 -o sub-MGH_TFLTB1map_label.nii.gz
--
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MGH_TFLTB1map_label.nii.gz -d sub-MGH_DREAMTB1avgB1map.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-MGH_TFLTB1map_label.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-MGH_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'.
Creating temporary folder (/tmp/sct_2024-11-05_21-30-54_register-wrapper_f9pqvpno)

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'.

--
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_21-30-54_register-wrapper_f9pqvpno

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_21-30-54_register-wrapper_f9pqvpno
/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_21-30-54_register-wrapper_f9pqvpno

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-MGH_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-30-54_register-wrapper_f9pqvpno/warp_src2dest.nii.gz warp_sub-MGH_TFLTB1map_label2sub-MGH_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MGH_TFLTB1map_label2sub-MGH_DREAMTB1avgB1map.nii.gz
File created: sub-MGH_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-30-54_register-wrapper_f9pqvpno/warp_dest2src.nii.gz warp_sub-MGH_DREAMTB1avgB1map2sub-MGH_TFLTB1map_label.nii.gz
File created: warp_sub-MGH_DREAMTB1avgB1map2sub-MGH_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-30-54_register-wrapper_f9pqvpno

Finished! Elapsed time: 1s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-MGH_TFLTB1map_label.nii.gz -d sub-MGH_DREAMTB1avgB1map.nii.gz -w warp_sub-MGH_TFLTB1map_label2sub-MGH_DREAMTB1avgB1map.nii.gz -x label -o sub-MGH_DREAMTB1avgB1map_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-30-56_apply-transfo-3d-label_3cjhoh19)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-30-56_apply-transfo-3d-label_3cjhoh19/dilated_data.nii -o sub-MGH_DREAMTB1avgB1map_label.nii.gz -t warp_sub-MGH_TFLTB1map_label2sub-MGH_DREAMTB1avgB1map.nii.gz -r sub-MGH_DREAMTB1avgB1map.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MGH/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.

Take the center of mass of each registered dilated labels...
File sub-MGH_DREAMTB1avgB1map_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-30-56_apply-transfo-3d-label_3cjhoh19
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MGH_TFLTB1map_label.nii.gz -d sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-MGH_TFLTB1map_label.nii.gz (88, 144, 56)
  Destination ......... sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-30-57_register-wrapper_312feija)

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_21-30-57_register-wrapper_312feija

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_21-30-57_register-wrapper_312feija
/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_21-30-57_register-wrapper_312feija

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MGH_TFLTB1map_label_reg.nii.gz already exists. Deleting it..
File created: sub-MGH_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-30-57_register-wrapper_312feija/warp_src2dest.nii.gz warp_sub-MGH_TFLTB1map_label2sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MGH_TFLTB1map_label2sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-MGH_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-30-57_register-wrapper_312feija/warp_dest2src.nii.gz warp_sub-MGH_acq-coilQaSagLarge_SNR_T00002sub-MGH_TFLTB1map_label.nii.gz
File created: warp_sub-MGH_acq-coilQaSagLarge_SNR_T00002sub-MGH_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-30-57_register-wrapper_312feija

Finished! Elapsed time: 4s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-MGH_TFLTB1map_label.nii.gz -d sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MGH_TFLTB1map_label2sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz -x label -o sub-MGH_acq-coilQaSagLarge_SNR_T0000_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-03_apply-transfo-3d-label_9fjr1n0f)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-03_apply-transfo-3d-label_9fjr1n0f/dilated_data.nii -o sub-MGH_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -t warp_sub-MGH_TFLTB1map_label2sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MGH/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.

Take the center of mass of each registered dilated labels...
File sub-MGH_acq-coilQaSagLarge_SNR_T0000_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-03_apply-transfo-3d-label_9fjr1n0f
👉 CREATE LABELS FOR: sub-MNI
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_label_utils -i sub-MNI_TFLTB1map.nii.gz -create 69,87,26,1 -o sub-MNI_TFLTB1map_label.nii.gz
--

Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MNI_TFLTB1map_label.nii.gz -d sub-MNI_DREAMTB1avgB1map.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-MNI_TFLTB1map_label.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-MNI_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'.
Creating temporary folder (/tmp/sct_2024-11-05_21-31-06_register-wrapper_00_n4ee2)

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'.

--
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_21-31-06_register-wrapper_00_n4ee2

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_21-31-06_register-wrapper_00_n4ee2
/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_21-31-06_register-wrapper_00_n4ee2

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-MNI_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-06_register-wrapper_00_n4ee2/warp_src2dest.nii.gz warp_sub-MNI_TFLTB1map_label2sub-MNI_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MNI_TFLTB1map_label2sub-MNI_DREAMTB1avgB1map.nii.gz
File created: sub-MNI_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-06_register-wrapper_00_n4ee2/warp_dest2src.nii.gz warp_sub-MNI_DREAMTB1avgB1map2sub-MNI_TFLTB1map_label.nii.gz
File created: warp_sub-MNI_DREAMTB1avgB1map2sub-MNI_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-06_register-wrapper_00_n4ee2

Finished! Elapsed time: 1s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-MNI_TFLTB1map_label.nii.gz -d sub-MNI_DREAMTB1avgB1map.nii.gz -w warp_sub-MNI_TFLTB1map_label2sub-MNI_DREAMTB1avgB1map.nii.gz -x label -o sub-MNI_DREAMTB1avgB1map_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-08_apply-transfo-3d-label_mnlqrx79)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-08_apply-transfo-3d-label_mnlqrx79/dilated_data.nii -o sub-MNI_DREAMTB1avgB1map_label.nii.gz -t warp_sub-MNI_TFLTB1map_label2sub-MNI_DREAMTB1avgB1map.nii.gz -r sub-MNI_DREAMTB1avgB1map.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MNI/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.

Take the center of mass of each registered dilated labels...
File sub-MNI_DREAMTB1avgB1map_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-08_apply-transfo-3d-label_mnlqrx79
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MNI_TFLTB1map_label.nii.gz -d sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-MNI_TFLTB1map_label.nii.gz (88, 144, 56)
  Destination ......... sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-31-10_register-wrapper_i087fdco)

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_21-31-10_register-wrapper_i087fdco

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_21-31-10_register-wrapper_i087fdco
/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_21-31-10_register-wrapper_i087fdco

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MNI_TFLTB1map_label_reg.nii.gz already exists. Deleting it..
File created: sub-MNI_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-10_register-wrapper_i087fdco/warp_src2dest.nii.gz warp_sub-MNI_TFLTB1map_label2sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MNI_TFLTB1map_label2sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-MNI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-10_register-wrapper_i087fdco/warp_dest2src.nii.gz warp_sub-MNI_acq-coilQaSagLarge_SNR_T00002sub-MNI_TFLTB1map_label.nii.gz
File created: warp_sub-MNI_acq-coilQaSagLarge_SNR_T00002sub-MNI_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-10_register-wrapper_i087fdco

Finished! Elapsed time: 4s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-MNI_TFLTB1map_label.nii.gz -d sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MNI_TFLTB1map_label2sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz -x label -o sub-MNI_acq-coilQaSagLarge_SNR_T0000_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-15_apply-transfo-3d-label_olkgm7l8)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-15_apply-transfo-3d-label_olkgm7l8/dilated_data.nii -o sub-MNI_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -t warp_sub-MNI_TFLTB1map_label2sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MNI/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.

Take the center of mass of each registered dilated labels...
File sub-MNI_acq-coilQaSagLarge_SNR_T0000_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-15_apply-transfo-3d-label_olkgm7l8
👉 CREATE LABELS FOR: sub-MPI
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_label_utils -i sub-MPI_TFLTB1map.nii.gz -create 67,95,27,1 -o sub-MPI_TFLTB1map_label.nii.gz
--

Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MPI_TFLTB1map_label.nii.gz -d sub-MPI_DREAMTB1avgB1map.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-MPI_TFLTB1map_label.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-MPI_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'.
Creating temporary folder (/tmp/sct_2024-11-05_21-31-19_register-wrapper_u16d9ra2)

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'.

--
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_21-31-19_register-wrapper_u16d9ra2

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_21-31-19_register-wrapper_u16d9ra2
/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_21-31-19_register-wrapper_u16d9ra2

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-MPI_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-19_register-wrapper_u16d9ra2/warp_src2dest.nii.gz warp_sub-MPI_TFLTB1map_label2sub-MPI_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MPI_TFLTB1map_label2sub-MPI_DREAMTB1avgB1map.nii.gz
File created: sub-MPI_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-19_register-wrapper_u16d9ra2/warp_dest2src.nii.gz warp_sub-MPI_DREAMTB1avgB1map2sub-MPI_TFLTB1map_label.nii.gz
File created: warp_sub-MPI_DREAMTB1avgB1map2sub-MPI_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-19_register-wrapper_u16d9ra2

Finished! Elapsed time: 1s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-MPI_TFLTB1map_label.nii.gz -d sub-MPI_DREAMTB1avgB1map.nii.gz -w warp_sub-MPI_TFLTB1map_label2sub-MPI_DREAMTB1avgB1map.nii.gz -x label -o sub-MPI_DREAMTB1avgB1map_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  90 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-20_apply-transfo-3d-label_ancf0w1x)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-20_apply-transfo-3d-label_ancf0w1x/dilated_data.nii -o sub-MPI_DREAMTB1avgB1map_label.nii.gz -t warp_sub-MPI_TFLTB1map_label2sub-MPI_DREAMTB1avgB1map.nii.gz -r sub-MPI_DREAMTB1avgB1map.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MPI/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.

Take the center of mass of each registered dilated labels...
File sub-MPI_DREAMTB1avgB1map_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-20_apply-transfo-3d-label_ancf0w1x
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MPI_TFLTB1map_label.nii.gz -d sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-MPI_TFLTB1map_label.nii.gz (90, 144, 56)
  Destination ......... sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-31-22_register-wrapper_c1bdui3z)

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_21-31-22_register-wrapper_c1bdui3z

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_21-31-22_register-wrapper_c1bdui3z
/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_21-31-22_register-wrapper_c1bdui3z

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MPI_TFLTB1map_label_reg.nii.gz already exists. Deleting it..
File created: sub-MPI_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-22_register-wrapper_c1bdui3z/warp_src2dest.nii.gz warp_sub-MPI_TFLTB1map_label2sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MPI_TFLTB1map_label2sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-MPI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-22_register-wrapper_c1bdui3z/warp_dest2src.nii.gz warp_sub-MPI_acq-coilQaSagLarge_SNR_T00002sub-MPI_TFLTB1map_label.nii.gz
File created: warp_sub-MPI_acq-coilQaSagLarge_SNR_T00002sub-MPI_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-22_register-wrapper_c1bdui3z

Finished! Elapsed time: 4s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-MPI_TFLTB1map_label.nii.gz -d sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MPI_TFLTB1map_label2sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz -x label -o sub-MPI_acq-coilQaSagLarge_SNR_T0000_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  90 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-27_apply-transfo-3d-label_ar7pjae0)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-27_apply-transfo-3d-label_ar7pjae0/dilated_data.nii -o sub-MPI_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -t warp_sub-MPI_TFLTB1map_label2sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MPI/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.

Take the center of mass of each registered dilated labels...
File sub-MPI_acq-coilQaSagLarge_SNR_T0000_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-27_apply-transfo-3d-label_ar7pjae0
👉 CREATE LABELS FOR: sub-MSSM
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_label_utils -i sub-MSSM_TFLTB1map.nii.gz -create 73,65,28,1 -o sub-MSSM_TFLTB1map_label.nii.gz
--
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MSSM_TFLTB1map_label.nii.gz -d sub-MSSM_DREAMTB1avgB1map.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-MSSM_TFLTB1map_label.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-MSSM_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'.
Creating temporary folder (/tmp/sct_2024-11-05_21-31-31_register-wrapper_x09gnstu)

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'.

--
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_21-31-31_register-wrapper_x09gnstu

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_21-31-31_register-wrapper_x09gnstu
/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_21-31-31_register-wrapper_x09gnstu

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-MSSM_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-31_register-wrapper_x09gnstu/warp_src2dest.nii.gz warp_sub-MSSM_TFLTB1map_label2sub-MSSM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MSSM_TFLTB1map_label2sub-MSSM_DREAMTB1avgB1map.nii.gz
File created: sub-MSSM_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-31_register-wrapper_x09gnstu/warp_dest2src.nii.gz warp_sub-MSSM_DREAMTB1avgB1map2sub-MSSM_TFLTB1map_label.nii.gz
File created: warp_sub-MSSM_DREAMTB1avgB1map2sub-MSSM_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-31_register-wrapper_x09gnstu

Finished! Elapsed time: 1s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-MSSM_TFLTB1map_label.nii.gz -d sub-MSSM_DREAMTB1avgB1map.nii.gz -w warp_sub-MSSM_TFLTB1map_label2sub-MSSM_DREAMTB1avgB1map.nii.gz -x label -o sub-MSSM_DREAMTB1avgB1map_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 128 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-33_apply-transfo-3d-label_xvgwbq7a)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-33_apply-transfo-3d-label_xvgwbq7a/dilated_data.nii -o sub-MSSM_DREAMTB1avgB1map_label.nii.gz -t warp_sub-MSSM_TFLTB1map_label2sub-MSSM_DREAMTB1avgB1map.nii.gz -r sub-MSSM_DREAMTB1avgB1map.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MSSM/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.

Take the center of mass of each registered dilated labels...
File sub-MSSM_DREAMTB1avgB1map_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-33_apply-transfo-3d-label_xvgwbq7a
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MSSM_TFLTB1map_label.nii.gz -d sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-MSSM_TFLTB1map_label.nii.gz (88, 128, 56)
  Destination ......... sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-31-34_register-wrapper_b1uq0gpl)

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_21-31-34_register-wrapper_b1uq0gpl

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_21-31-34_register-wrapper_b1uq0gpl
/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_21-31-34_register-wrapper_b1uq0gpl

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MSSM_TFLTB1map_label_reg.nii.gz already exists. Deleting it..
File created: sub-MSSM_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-34_register-wrapper_b1uq0gpl/warp_src2dest.nii.gz warp_sub-MSSM_TFLTB1map_label2sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MSSM_TFLTB1map_label2sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-MSSM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-34_register-wrapper_b1uq0gpl/warp_dest2src.nii.gz warp_sub-MSSM_acq-coilQaSagLarge_SNR_T00002sub-MSSM_TFLTB1map_label.nii.gz
File created: warp_sub-MSSM_acq-coilQaSagLarge_SNR_T00002sub-MSSM_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-34_register-wrapper_b1uq0gpl

Finished! Elapsed time: 4s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-MSSM_TFLTB1map_label.nii.gz -d sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-MSSM_TFLTB1map_label2sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz -x label -o sub-MSSM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 128 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-40_apply-transfo-3d-label_7456h5tr)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-40_apply-transfo-3d-label_7456h5tr/dilated_data.nii -o sub-MSSM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -t warp_sub-MSSM_TFLTB1map_label2sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MSSM/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.

Take the center of mass of each registered dilated labels...
File sub-MSSM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-40_apply-transfo-3d-label_7456h5tr
👉 CREATE LABELS FOR: sub-NTNU
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_label_utils -i sub-NTNU_TFLTB1map.nii.gz -create 64,96,29,1 -o sub-NTNU_TFLTB1map_label.nii.gz
--

Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-NTNU_TFLTB1map_label.nii.gz -d sub-NTNU_DREAMTB1avgB1map.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-NTNU_TFLTB1map_label.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-NTNU_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'.
Creating temporary folder (/tmp/sct_2024-11-05_21-31-43_register-wrapper_7q61fv92)

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'.

--
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_21-31-43_register-wrapper_7q61fv92

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_21-31-43_register-wrapper_7q61fv92
/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_21-31-43_register-wrapper_7q61fv92

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-NTNU_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-43_register-wrapper_7q61fv92/warp_src2dest.nii.gz warp_sub-NTNU_TFLTB1map_label2sub-NTNU_DREAMTB1avgB1map.nii.gz
File created: warp_sub-NTNU_TFLTB1map_label2sub-NTNU_DREAMTB1avgB1map.nii.gz
File created: sub-NTNU_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-43_register-wrapper_7q61fv92/warp_dest2src.nii.gz warp_sub-NTNU_DREAMTB1avgB1map2sub-NTNU_TFLTB1map_label.nii.gz
File created: warp_sub-NTNU_DREAMTB1avgB1map2sub-NTNU_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-43_register-wrapper_7q61fv92

Finished! Elapsed time: 1s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-NTNU_TFLTB1map_label.nii.gz -d sub-NTNU_DREAMTB1avgB1map.nii.gz -w warp_sub-NTNU_TFLTB1map_label2sub-NTNU_DREAMTB1avgB1map.nii.gz -x label -o sub-NTNU_DREAMTB1avgB1map_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-45_apply-transfo-3d-label_2_f1ghaz)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-45_apply-transfo-3d-label_2_f1ghaz/dilated_data.nii -o sub-NTNU_DREAMTB1avgB1map_label.nii.gz -t warp_sub-NTNU_TFLTB1map_label2sub-NTNU_DREAMTB1avgB1map.nii.gz -r sub-NTNU_DREAMTB1avgB1map.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-NTNU/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.

Take the center of mass of each registered dilated labels...
File sub-NTNU_DREAMTB1avgB1map_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-45_apply-transfo-3d-label_2_f1ghaz
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-NTNU_TFLTB1map_label.nii.gz -d sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-NTNU_TFLTB1map_label.nii.gz (88, 144, 56)
  Destination ......... sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-31-46_register-wrapper_mhl42dxz)

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_21-31-46_register-wrapper_mhl42dxz

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_21-31-46_register-wrapper_mhl42dxz
/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_21-31-46_register-wrapper_mhl42dxz

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-NTNU_TFLTB1map_label_reg.nii.gz already exists. Deleting it..
File created: sub-NTNU_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-46_register-wrapper_mhl42dxz/warp_src2dest.nii.gz warp_sub-NTNU_TFLTB1map_label2sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-NTNU_TFLTB1map_label2sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-NTNU_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-46_register-wrapper_mhl42dxz/warp_dest2src.nii.gz warp_sub-NTNU_acq-coilQaSagLarge_SNR_T00002sub-NTNU_TFLTB1map_label.nii.gz
File created: warp_sub-NTNU_acq-coilQaSagLarge_SNR_T00002sub-NTNU_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-46_register-wrapper_mhl42dxz

Finished! Elapsed time: 4s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-NTNU_TFLTB1map_label.nii.gz -d sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-NTNU_TFLTB1map_label2sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz -x label -o sub-NTNU_acq-coilQaSagLarge_SNR_T0000_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-52_apply-transfo-3d-label_wfm7znty)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-52_apply-transfo-3d-label_wfm7znty/dilated_data.nii -o sub-NTNU_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -t warp_sub-NTNU_TFLTB1map_label2sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-NTNU/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.

Take the center of mass of each registered dilated labels...
File sub-NTNU_acq-coilQaSagLarge_SNR_T0000_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-52_apply-transfo-3d-label_wfm7znty
👉 CREATE LABELS FOR: sub-UCL
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_label_utils -i sub-UCL_TFLTB1map.nii.gz -create 68,97,28,1 -o sub-UCL_TFLTB1map_label.nii.gz
--
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
Generating output files...
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-UCL_TFLTB1map_label.nii.gz -d sub-UCL_DREAMTB1avgB1map.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-UCL_TFLTB1map_label.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-UCL_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'.
Creating temporary folder (/tmp/sct_2024-11-05_21-31-55_register-wrapper_9q7mmr9r)

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'.

--
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_21-31-55_register-wrapper_9q7mmr9r

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_21-31-55_register-wrapper_9q7mmr9r
/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_21-31-55_register-wrapper_9q7mmr9r

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-UCL_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-55_register-wrapper_9q7mmr9r/warp_src2dest.nii.gz warp_sub-UCL_TFLTB1map_label2sub-UCL_DREAMTB1avgB1map.nii.gz
File created: warp_sub-UCL_TFLTB1map_label2sub-UCL_DREAMTB1avgB1map.nii.gz
File created: sub-UCL_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-55_register-wrapper_9q7mmr9r/warp_dest2src.nii.gz warp_sub-UCL_DREAMTB1avgB1map2sub-UCL_TFLTB1map_label.nii.gz
File created: warp_sub-UCL_DREAMTB1avgB1map2sub-UCL_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-55_register-wrapper_9q7mmr9r

Finished! Elapsed time: 1s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-UCL_TFLTB1map_label.nii.gz -d sub-UCL_DREAMTB1avgB1map.nii.gz -w warp_sub-UCL_TFLTB1map_label2sub-UCL_DREAMTB1avgB1map.nii.gz -x label -o sub-UCL_DREAMTB1avgB1map_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-31-57_apply-transfo-3d-label_o_58cqja)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-31-57_apply-transfo-3d-label_o_58cqja/dilated_data.nii -o sub-UCL_DREAMTB1avgB1map_label.nii.gz -t warp_sub-UCL_TFLTB1map_label2sub-UCL_DREAMTB1avgB1map.nii.gz -r sub-UCL_DREAMTB1avgB1map.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-UCL/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.

Take the center of mass of each registered dilated labels...
File sub-UCL_DREAMTB1avgB1map_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-57_apply-transfo-3d-label_o_58cqja
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-UCL_TFLTB1map_label.nii.gz -d sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz -identity 1
--


Input parameters:
  Source .............. sub-UCL_TFLTB1map_label.nii.gz (88, 144, 56)
  Destination ......... sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-31-58_register-wrapper_g6d3tobe)

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_21-31-58_register-wrapper_g6d3tobe

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_21-31-58_register-wrapper_g6d3tobe
/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_21-31-58_register-wrapper_g6d3tobe

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-UCL_TFLTB1map_label_reg.nii.gz already exists. Deleting it..
File created: sub-UCL_TFLTB1map_label_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-58_register-wrapper_g6d3tobe/warp_src2dest.nii.gz warp_sub-UCL_TFLTB1map_label2sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-UCL_TFLTB1map_label2sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-UCL_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-31-58_register-wrapper_g6d3tobe/warp_dest2src.nii.gz warp_sub-UCL_acq-coilQaSagLarge_SNR_T00002sub-UCL_TFLTB1map_label.nii.gz
File created: warp_sub-UCL_acq-coilQaSagLarge_SNR_T00002sub-UCL_TFLTB1map_label.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-31-58_register-wrapper_g6d3tobe

Finished! Elapsed time: 4s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_apply_transfo -i sub-UCL_TFLTB1map_label.nii.gz -d sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz -w warp_sub-UCL_TFLTB1map_label2sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz -x label -o sub-UCL_acq-coilQaSagLarge_SNR_T0000_label.nii.gz
--


Parse list of warping fields...

Get dimensions of data...
  88 x 144 x 56 x 1

Apply transformation...

Dilate labels before warping...
Creating temporary folder (/tmp/sct_2024-11-05_21-32-04_apply-transfo-3d-label_mvfh7d2n)

Apply transformation and resample to destination space...
/home/runner/work/coil-qc-code/coil-qc-code/spinalcordtoolbox/bin/isct_antsApplyTransforms -d 3 -i /tmp/sct_2024-11-05_21-32-04_apply-transfo-3d-label_mvfh7d2n/dilated_data.nii -o sub-UCL_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -t warp_sub-UCL_TFLTB1map_label2sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz -r sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz -n NearestNeighbor # in /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-UCL/fmap
Copy affine matrix from destination space to make sure qform/sform are the same.

Take the center of mass of each registered dilated labels...
File sub-UCL_acq-coilQaSagLarge_SNR_T0000_label.nii.gz already exists. Will overwrite it.

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-04_apply-transfo-3d-label_mvfh7d2n
👉 REGISTER: sub-CRMBM
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-CRMBM_TFLTB1map.nii.gz -ilabel sub-CRMBM_TFLTB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-CRMBM_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-32-06_register-wrapper_m5fg6dff)

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: [[-11.087461948394775, 50.14370059967041, -3.270395278930664]]
Labels dest: [[-11.087461948394775, 50.143698930740356, -3.270395278930664]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
         Current function value: 0.000000
         Iterations: 2
         Function evaluations: 45
Matrix:
 [[ 1.  0.  0.]
 [ 0.  1.  0.]
 [-0.  0.  1.]]
Center:
 [-11.08746195  50.14369893  -3.27039528]
Translation:
 [[0.00000000e+00 1.66893006e-06 0.00000000e+00]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-06_register-wrapper_m5fg6dff

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_21-32-06_register-wrapper_m5fg6dff
/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_21-32-06_register-wrapper_m5fg6dff

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-CRMBM_TFLTB1map_src_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-06_register-wrapper_m5fg6dff/warp_src2dest.nii.gz warp_sub-CRMBM_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: sub-CRMBM_TFLTB1map_dest_reg.nii.gz
File warp_sub-CRMBM_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz already exists. Deleting it..
mv /tmp/sct_2024-11-05_21-32-06_register-wrapper_m5fg6dff/warp_dest2src.nii.gz warp_sub-CRMBM_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-06_register-wrapper_m5fg6dff

Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-CRMBM_DREAMTB1avgB1map.nii.gz -ilabel sub-CRMBM_DREAMTB1avgB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-CRMBM_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-32-09_register-wrapper_ytdui1xi)

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: [[-11.117250442504883, 50.97703552246094, -3.4092864990234375]]
Labels dest: [[-11.117250442504883, 50.97703552246094, -3.4092864990234375]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
         Current function value: 0.000000
         Iterations: 1
         Function evaluations: 22
Matrix:
 [[ 1.  0.  0.]
 [ 0.  1.  0.]
 [-0.  0.  1.]]
Center:
 [-11.11725044  50.97703552  -3.4092865 ]
Translation:
 [[0. 0. 0.]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-09_register-wrapper_ytdui1xi

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_21-32-09_register-wrapper_ytdui1xi
/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_21-32-09_register-wrapper_ytdui1xi

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-CRMBM_DREAMTB1avgB1map_src_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-09_register-wrapper_ytdui1xi/warp_src2dest.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM_DREAMTB1avgB1map_dest_reg.nii.gz
File warp_sub-CRMBM_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz already exists. Deleting it..
mv /tmp/sct_2024-11-05_21-32-09_register-wrapper_ytdui1xi/warp_dest2src.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-09_register-wrapper_ytdui1xi

Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -ilabel sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
  Source .............. sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 13)
  Destination ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-32-11_register-wrapper_qmf3mu89)

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: [[-11.117252349853516, 50.47705077917857, -2.909301755652923]]
Labels dest: [[-11.117252349853516, 50.47705077917857, -2.9093017594064463]]
Degrees of freedom (dof): Tx_Ty_Tz
Optimization terminated successfully.
         Current function value: 0.000000
         Iterations: 2
         Function evaluations: 62
Matrix:
 [[ 1.  0.  0.]
 [ 0.  1.  0.]
 [-0.  0.  1.]]
Center:
 [-11.11725235  50.47705078  -2.90930176]
Translation:
 [[0.00000000e+00 0.00000000e+00 3.75352307e-09]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-11_register-wrapper_qmf3mu89

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_21-32-11_register-wrapper_qmf3mu89
/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_21-32-11_register-wrapper_qmf3mu89

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_src_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-11_register-wrapper_qmf3mu89/warp_src2dest.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_dest_reg.nii.gz
File warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz already exists. Deleting it..
mv /tmp/sct_2024-11-05_21-32-11_register-wrapper_qmf3mu89/warp_dest2src.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-11_register-wrapper_qmf3mu89

Finished! Elapsed time: 8s
👉 REGISTER: sub-MGH
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MGH_TFLTB1map.nii.gz -ilabel sub-MGH_TFLTB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-MGH_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-32-20_register-wrapper_vdxyby3p)

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: [[-1.9035463333129883, 10.127162218093872, 35.712753772735596]]
Labels dest: [[-11.087461948394775, 50.143698930740356, -3.270395278930664]]
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:
 [-11.08746195  50.14369893  -3.27039528]
Translation:
 [[  9.18391562 -40.01653671  38.98314905]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-20_register-wrapper_vdxyby3p

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_21-32-20_register-wrapper_vdxyby3p
/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_21-32-20_register-wrapper_vdxyby3p

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-MGH_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-20_register-wrapper_vdxyby3p/warp_src2dest.nii.gz warp_sub-MGH_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: warp_sub-MGH_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: sub-CRMBM_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-20_register-wrapper_vdxyby3p/warp_dest2src.nii.gz warp_sub-CRMBM_TFLTB1map2sub-MGH_TFLTB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map2sub-MGH_TFLTB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-20_register-wrapper_vdxyby3p

Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MGH_DREAMTB1avgB1map.nii.gz -ilabel sub-MGH_DREAMTB1avgB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-MGH_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-32-23_register-wrapper_qb26g_jz)

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: [[-2.8459887504577637, 9.98828125, 34.462745666503906]]
Labels dest: [[-11.117250442504883, 50.97703552246094, -3.4092864990234375]]
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:
 [-11.11725044  50.97703552  -3.4092865 ]
Translation:
 [[  8.27126169 -40.98875427  37.87203217]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-23_register-wrapper_qb26g_jz

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_21-32-23_register-wrapper_qb26g_jz
/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_21-32-23_register-wrapper_qb26g_jz

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MGH_DREAMTB1avgB1map_reg.nii.gz already exists. Deleting it..
File created: sub-MGH_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-23_register-wrapper_qb26g_jz/warp_src2dest.nii.gz warp_sub-MGH_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MGH_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-23_register-wrapper_qb26g_jz/warp_dest2src.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-MGH_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-MGH_DREAMTB1avgB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-23_register-wrapper_qb26g_jz

Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz -ilabel sub-MGH_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
  Source .............. sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 13)
  Destination ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-32-25_register-wrapper_o7qde_t_)

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: [[-2.645986557006836, 10.48828125, 36.462738037109375]]
Labels dest: [[-11.117252349853516, 50.47705077917857, -2.9093017594064463]]
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:
 [-11.11725235  50.47705078  -2.90930176]
Translation:
 [[  8.47126579 -39.98876953  39.3720398 ]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-25_register-wrapper_o7qde_t_

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_21-32-25_register-wrapper_o7qde_t_
/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_21-32-25_register-wrapper_o7qde_t_

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MGH_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-MGH_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-25_register-wrapper_o7qde_t_/warp_src2dest.nii.gz warp_sub-MGH_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MGH_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-25_register-wrapper_o7qde_t_/warp_dest2src.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-MGH_acq-coilQaSagLarge_SNR_T0000.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-25_register-wrapper_o7qde_t_

Finished! Elapsed time: 7s
👉 REGISTER: sub-MNI
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MNI_TFLTB1map.nii.gz -ilabel sub-MNI_TFLTB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-MNI_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-32-34_register-wrapper_i82cg36j)

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: [[-5.0127153396606445, 12.580960512161255, 37.777780294418335]]
Labels dest: [[-11.087461948394775, 50.143698930740356, -3.270395278930664]]
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:
 [-11.08746195  50.14369893  -3.27039528]
Translation:
 [[  6.07474661 -37.56273842  41.04817557]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-34_register-wrapper_i82cg36j

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_21-32-34_register-wrapper_i82cg36j
/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_21-32-34_register-wrapper_i82cg36j

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-MNI_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-34_register-wrapper_i82cg36j/warp_src2dest.nii.gz warp_sub-MNI_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: warp_sub-MNI_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: sub-CRMBM_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-34_register-wrapper_i82cg36j/warp_dest2src.nii.gz warp_sub-CRMBM_TFLTB1map2sub-MNI_TFLTB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map2sub-MNI_TFLTB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-34_register-wrapper_i82cg36j

Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MNI_DREAMTB1avgB1map.nii.gz -ilabel sub-MNI_DREAMTB1avgB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-MNI_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-32-37_register-wrapper_z9mr5n2q)

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: [[-4.612692832946777, 12.250770568847656, 38.44549560546875]]
Labels dest: [[-11.117250442504883, 50.97703552246094, -3.4092864990234375]]
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:
 [-11.11725044  50.97703552  -3.4092865 ]
Translation:
 [[  6.50455761 -38.72626495  41.8547821 ]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-37_register-wrapper_z9mr5n2q

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_21-32-37_register-wrapper_z9mr5n2q
/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_21-32-37_register-wrapper_z9mr5n2q

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MNI_DREAMTB1avgB1map_reg.nii.gz already exists. Deleting it..
File created: sub-MNI_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-37_register-wrapper_z9mr5n2q/warp_src2dest.nii.gz warp_sub-MNI_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MNI_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-37_register-wrapper_z9mr5n2q/warp_dest2src.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-MNI_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-MNI_DREAMTB1avgB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-37_register-wrapper_z9mr5n2q

Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz -ilabel sub-MNI_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
  Source .............. sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 13)
  Destination ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-32-39_register-wrapper_finx25uq)

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: [[-4.612680435180664, 12.75076293739636, 38.44549560754753]]
Labels dest: [[-11.117252349853516, 50.47705077917857, -2.9093017594064463]]
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:
 [-11.11725235  50.47705078  -2.90930176]
Translation:
 [[  6.50457191 -37.72628784  41.35479737]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-39_register-wrapper_finx25uq

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_21-32-39_register-wrapper_finx25uq
/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_21-32-39_register-wrapper_finx25uq

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MNI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-MNI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-39_register-wrapper_finx25uq/warp_src2dest.nii.gz warp_sub-MNI_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MNI_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-39_register-wrapper_finx25uq/warp_dest2src.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-MNI_acq-coilQaSagLarge_SNR_T0000.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-39_register-wrapper_finx25uq

Finished! Elapsed time: 8s
👉 REGISTER: sub-MPI
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MPI_TFLTB1map.nii.gz -ilabel sub-MPI_TFLTB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-MPI_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-32-47_register-wrapper_ybbqv2an)

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: [[-8.676316738128662, 5.191625118255615, 34.30185270309448]]
Labels dest: [[-11.087461948394775, 50.143698930740356, -3.270395278930664]]
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:
 [-11.08746195  50.14369893  -3.27039528]
Translation:
 [[  2.41114521 -44.95207381  37.57224798]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-47_register-wrapper_ybbqv2an

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_21-32-47_register-wrapper_ybbqv2an
/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_21-32-47_register-wrapper_ybbqv2an

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-MPI_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-47_register-wrapper_ybbqv2an/warp_src2dest.nii.gz warp_sub-MPI_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: warp_sub-MPI_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: sub-CRMBM_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-47_register-wrapper_ybbqv2an/warp_dest2src.nii.gz warp_sub-CRMBM_TFLTB1map2sub-MPI_TFLTB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map2sub-MPI_TFLTB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-47_register-wrapper_ybbqv2an

Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MPI_DREAMTB1avgB1map.nii.gz -ilabel sub-MPI_DREAMTB1avgB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-MPI_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-32-51_register-wrapper_t841pzf1)

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, 5.7471771240234375, 35.135169982910156]]
Labels dest: [[-11.117250442504883, 50.97703552246094, -3.4092864990234375]]
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:
 [-11.11725044  50.97703552  -3.4092865 ]
Translation:
 [[  1.5309906  -45.2298584   38.54445648]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-51_register-wrapper_t841pzf1

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_21-32-51_register-wrapper_t841pzf1
/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_21-32-51_register-wrapper_t841pzf1

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MPI_DREAMTB1avgB1map_reg.nii.gz already exists. Deleting it..
File created: sub-MPI_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-51_register-wrapper_t841pzf1/warp_src2dest.nii.gz warp_sub-MPI_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MPI_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-51_register-wrapper_t841pzf1/warp_dest2src.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-MPI_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-MPI_DREAMTB1avgB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-51_register-wrapper_t841pzf1

Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz -ilabel sub-MPI_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
  Source .............. sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 13)
  Destination ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-32-52_register-wrapper_526jzgnw)

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: [[-9.486261367797852, 5.7471923828125, 34.635162353515625]]
Labels dest: [[-11.117252349853516, 50.47705077917857, -2.9093017594064463]]
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:
 [-11.11725235  50.47705078  -2.90930176]
Translation:
 [[  1.63099098 -44.7298584   37.54446411]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-32-52_register-wrapper_526jzgnw

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_21-32-52_register-wrapper_526jzgnw
/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_21-32-52_register-wrapper_526jzgnw

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MPI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-MPI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-52_register-wrapper_526jzgnw/warp_src2dest.nii.gz warp_sub-MPI_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MPI_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-32-52_register-wrapper_526jzgnw/warp_dest2src.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-MPI_acq-coilQaSagLarge_SNR_T0000.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-32-52_register-wrapper_526jzgnw

Finished! Elapsed time: 7s
👉 REGISTER: sub-MSSM
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MSSM_TFLTB1map.nii.gz -ilabel sub-MSSM_TFLTB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-MSSM_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-33-01_register-wrapper_r5voav4r)

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, 40.5, 5.0]]
Labels dest: [[-11.087461948394775, 50.143698930740356, -3.270395278930664]]
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:
 [-11.08746195  50.14369893  -3.27039528]
Translation:
 [[13.58746195 -9.64369893  8.27039528]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-33-01_register-wrapper_r5voav4r

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_21-33-01_register-wrapper_r5voav4r
/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_21-33-01_register-wrapper_r5voav4r

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-MSSM_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-01_register-wrapper_r5voav4r/warp_src2dest.nii.gz warp_sub-MSSM_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: warp_sub-MSSM_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: sub-CRMBM_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-01_register-wrapper_r5voav4r/warp_dest2src.nii.gz warp_sub-CRMBM_TFLTB1map2sub-MSSM_TFLTB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map2sub-MSSM_TFLTB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-01_register-wrapper_r5voav4r

Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MSSM_DREAMTB1avgB1map.nii.gz -ilabel sub-MSSM_DREAMTB1avgB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-MSSM_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-33-04_register-wrapper_4kpycvbk)

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: [[3.5, 41.0, 5.0]]
Labels dest: [[-11.117250442504883, 50.97703552246094, -3.4092864990234375]]
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:
 [-11.11725044  50.97703552  -3.4092865 ]
Translation:
 [[14.61725044 -9.97703552  8.4092865 ]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-33-04_register-wrapper_4kpycvbk

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_21-33-04_register-wrapper_4kpycvbk
/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_21-33-04_register-wrapper_4kpycvbk

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MSSM_DREAMTB1avgB1map_reg.nii.gz already exists. Deleting it..
File created: sub-MSSM_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-04_register-wrapper_4kpycvbk/warp_src2dest.nii.gz warp_sub-MSSM_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-MSSM_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-04_register-wrapper_4kpycvbk/warp_dest2src.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-MSSM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-MSSM_DREAMTB1avgB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-04_register-wrapper_4kpycvbk

Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz -ilabel sub-MSSM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
  Source .............. sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 13)
  Destination ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-33-06_register-wrapper_c3ou709q)

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: [[3.5999984741210938, 40.50000007937501, 4.499999908011118]]
Labels dest: [[-11.117252349853516, 50.47705077917857, -2.9093017594064463]]
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:
 [-11.11725235  50.47705078  -2.90930176]
Translation:
 [[14.71725082 -9.9770507   7.40930167]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-33-06_register-wrapper_c3ou709q

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_21-33-06_register-wrapper_c3ou709q
/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_21-33-06_register-wrapper_c3ou709q

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-MSSM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-MSSM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-06_register-wrapper_c3ou709q/warp_src2dest.nii.gz warp_sub-MSSM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-MSSM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-06_register-wrapper_c3ou709q/warp_dest2src.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-MSSM_acq-coilQaSagLarge_SNR_T0000.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-06_register-wrapper_c3ou709q

Finished! Elapsed time: 7s
👉 REGISTER: sub-NTNU
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-NTNU_TFLTB1map.nii.gz -ilabel sub-NTNU_TFLTB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-NTNU_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-33-14_register-wrapper_j431x_kr)

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: [[3.7121474742889404, 5.1349334716796875, 27.99675750732422]]
Labels dest: [[-11.087461948394775, 50.143698930740356, -3.270395278930664]]
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:
 [-11.08746195  50.14369893  -3.27039528]
Translation:
 [[ 14.79960942 -45.00876546  31.26715279]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-33-14_register-wrapper_j431x_kr

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_21-33-14_register-wrapper_j431x_kr
/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_21-33-14_register-wrapper_j431x_kr

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-NTNU_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-14_register-wrapper_j431x_kr/warp_src2dest.nii.gz warp_sub-NTNU_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: warp_sub-NTNU_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: sub-CRMBM_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-14_register-wrapper_j431x_kr/warp_dest2src.nii.gz warp_sub-CRMBM_TFLTB1map2sub-NTNU_TFLTB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map2sub-NTNU_TFLTB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-14_register-wrapper_j431x_kr

Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-NTNU_DREAMTB1avgB1map.nii.gz -ilabel sub-NTNU_DREAMTB1avgB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-NTNU_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-33-18_register-wrapper_x3de_6s2)

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: [[2.867208480834961, 5.4127197265625, 28.968994140625]]
Labels dest: [[-11.117250442504883, 50.97703552246094, -3.4092864990234375]]
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:
 [-11.11725044  50.97703552  -3.4092865 ]
Translation:
 [[ 13.98445892 -45.5643158   32.37828064]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-33-18_register-wrapper_x3de_6s2

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_21-33-18_register-wrapper_x3de_6s2
/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_21-33-18_register-wrapper_x3de_6s2

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-NTNU_DREAMTB1avgB1map_reg.nii.gz already exists. Deleting it..
File created: sub-NTNU_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-18_register-wrapper_x3de_6s2/warp_src2dest.nii.gz warp_sub-NTNU_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-NTNU_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-18_register-wrapper_x3de_6s2/warp_dest2src.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-NTNU_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-NTNU_DREAMTB1avgB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-18_register-wrapper_x3de_6s2

Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz -ilabel sub-NTNU_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
  Source .............. sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 13)
  Destination ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-33-19_register-wrapper_zd46j3xq)

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: [[2.7672119140625, 4.4127197265625, 27.468994140625]]
Labels dest: [[-11.117252349853516, 50.47705077917857, -2.9093017594064463]]
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:
 [-11.11725235  50.47705078  -2.90930176]
Translation:
 [[ 13.88446426 -46.06433105  30.3782959 ]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-33-19_register-wrapper_zd46j3xq

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_21-33-19_register-wrapper_zd46j3xq
/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_21-33-19_register-wrapper_zd46j3xq

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-NTNU_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-NTNU_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-19_register-wrapper_zd46j3xq/warp_src2dest.nii.gz warp_sub-NTNU_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-NTNU_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-19_register-wrapper_zd46j3xq/warp_dest2src.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-NTNU_acq-coilQaSagLarge_SNR_T0000.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-19_register-wrapper_zd46j3xq

Finished! Elapsed time: 7s
👉 REGISTER: sub-UCL
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-UCL_TFLTB1map.nii.gz -ilabel sub-UCL_TFLTB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-UCL_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-33-28_register-wrapper_4zt5gghw)

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: [[1.2494821548461914, 49.14424228668213, 24.081058740615845]]
Labels dest: [[-11.087461948394775, 50.143698930740356, -3.270395278930664]]
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:
 [-11.08746195  50.14369893  -3.27039528]
Translation:
 [[12.3369441  -0.99945664 27.35145402]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-33-28_register-wrapper_4zt5gghw

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_21-33-28_register-wrapper_4zt5gghw
/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_21-33-28_register-wrapper_4zt5gghw

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-UCL_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-28_register-wrapper_4zt5gghw/warp_src2dest.nii.gz warp_sub-UCL_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: warp_sub-UCL_TFLTB1map2sub-CRMBM_TFLTB1map.nii.gz
File created: sub-CRMBM_TFLTB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-28_register-wrapper_4zt5gghw/warp_dest2src.nii.gz warp_sub-CRMBM_TFLTB1map2sub-UCL_TFLTB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map2sub-UCL_TFLTB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-28_register-wrapper_4zt5gghw

Finished! Elapsed time: 2s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-UCL_DREAMTB1avgB1map.nii.gz -ilabel sub-UCL_DREAMTB1avgB1map_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
Image header specifies datatype 'int16', but array is of type 'float64'. Header metadata will be overwritten to use 'float64'.
  Source .............. sub-UCL_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 ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_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_21-33-31_register-wrapper_id0t38l8)

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: [[0.36720848083496094, 49.977577209472656, 25.192169189453125]]
Labels dest: [[-11.117250442504883, 50.97703552246094, -3.4092864990234375]]
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:
 [-11.11725044  50.97703552  -3.4092865 ]
Translation:
 [[11.48445892 -0.99945831 28.60145569]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-33-31_register-wrapper_id0t38l8

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_21-33-31_register-wrapper_id0t38l8
/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_21-33-31_register-wrapper_id0t38l8

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-UCL_DREAMTB1avgB1map_reg.nii.gz already exists. Deleting it..
File created: sub-UCL_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-31_register-wrapper_id0t38l8/warp_src2dest.nii.gz warp_sub-UCL_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-UCL_DREAMTB1avgB1map2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM_DREAMTB1avgB1map_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-31_register-wrapper_id0t38l8/warp_dest2src.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-UCL_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-UCL_DREAMTB1avgB1map.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-31_register-wrapper_id0t38l8

Finished! Elapsed time: 0s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz -ilabel sub-UCL_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -d /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -dlabel /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_label.nii.gz -param step=0,type=label,dof=Tx_Ty_Tz:step=1,type=im,algo=syn,iter=0
--


Input parameters:
  Source .............. sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 13)
  Destination ......... /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 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_21-33-33_register-wrapper_ryaaxzu0)

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: [[0.36721134185791016, 49.477569580078125, 24.192169189453125]]
Labels dest: [[-11.117252349853516, 50.47705077917857, -2.9093017594064463]]
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:
 [-11.11725235  50.47705078  -2.90930176]
Translation:
 [[11.48446369 -0.9994812  27.10147095]]

--
ESTIMATE TRANSFORMATION FOR STEP #1

Apply transformation from previous step
Registration parameters:
  type ........... im
  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_RPI.nii,src_reg.nii,1,4]' --convergence 0 --shrink-factors 1 --smoothing-sigmas 0mm --restrict-deformation 1x1x0 --output '[step1,src_reg_regStep1.nii]' --interpolation 'BSpline[3]' --verbose 1 # in /tmp/sct_2024-11-05_21-33-33_register-wrapper_ryaaxzu0

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_21-33-33_register-wrapper_ryaaxzu0
/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_21-33-33_register-wrapper_ryaaxzu0

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File sub-UCL_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz already exists. Deleting it..
File created: sub-UCL_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-33_register-wrapper_ryaaxzu0/warp_src2dest.nii.gz warp_sub-UCL_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-UCL_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz
mv /tmp/sct_2024-11-05_21-33-33_register-wrapper_ryaaxzu0/warp_dest2src.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-UCL_acq-coilQaSagLarge_SNR_T0000.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-33_register-wrapper_ryaaxzu0

Finished! Elapsed time: 7s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-CRMBM_TFLTB1map_mask.nii.gz -d sub-CRMBM_DREAMTB1avgB1map.nii.gz -identity 1 -o sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz
--


Input parameters:
  Source .............. sub-CRMBM_TFLTB1map_mask.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-CRMBM_DREAMTB1avgB1map.nii.gz (80, 80, 11)
  Init transfo ........ 
  Mask ................ 
  Output name ......... sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz
  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'.
Creating temporary folder (/tmp/sct_2024-11-05_21-33-42_register-wrapper_e6hqep1v)

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'.

--
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_21-33-42_register-wrapper_e6hqep1v

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_21-33-42_register-wrapper_e6hqep1v
/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_21-33-42_register-wrapper_e6hqep1v

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz
mv /tmp/sct_2024-11-05_21-33-42_register-wrapper_e6hqep1v/warp_src2dest.nii.gz warp_sub-CRMBM_TFLTB1map_mask2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: warp_sub-CRMBM_TFLTB1map_mask2sub-CRMBM_DREAMTB1avgB1map.nii.gz
File created: sub-CRMBM_DREAMTB1avgB1map_mask_inv.nii.gz
mv /tmp/sct_2024-11-05_21-33-42_register-wrapper_e6hqep1v/warp_dest2src.nii.gz warp_sub-CRMBM_DREAMTB1avgB1map2sub-CRMBM_TFLTB1map_mask.nii.gz
File created: warp_sub-CRMBM_DREAMTB1avgB1map2sub-CRMBM_TFLTB1map_mask.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-42_register-wrapper_e6hqep1v

Finished! Elapsed time: 1s
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_register_multimodal -i sub-CRMBM_TFLTB1map_mask.nii.gz -d sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -identity 1 -o sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz
--


Input parameters:
  Source .............. sub-CRMBM_TFLTB1map_mask.nii.gz (88, 144, 56)
  Destination ......... sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz (512, 512, 13)
  Init transfo ........ 
  Mask ................ 
  Output name ......... sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz
  Remove temp files ... 1
  Verbose ............. 1

Check if input data are 3D...
Creating temporary folder (/tmp/sct_2024-11-05_21-33-44_register-wrapper_925ev8yz)

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_21-33-44_register-wrapper_925ev8yz

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_21-33-44_register-wrapper_925ev8yz
/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_21-33-44_register-wrapper_925ev8yz

Apply transfo source --> dest...

Apply transfo dest --> source...

Generate output files...
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz
mv /tmp/sct_2024-11-05_21-33-44_register-wrapper_925ev8yz/warp_src2dest.nii.gz warp_sub-CRMBM_TFLTB1map_mask2sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: warp_sub-CRMBM_TFLTB1map_mask2sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz
File created: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask_inv.nii.gz
mv /tmp/sct_2024-11-05_21-33-44_register-wrapper_925ev8yz/warp_dest2src.nii.gz warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_TFLTB1map_mask.nii.gz
File created: warp_sub-CRMBM_acq-coilQaSagLarge_SNR_T00002sub-CRMBM_TFLTB1map_mask.nii.gz

Remove temporary files...
rm -rf /tmp/sct_2024-11-05_21-33-44_register-wrapper_925ev8yz

Finished! Elapsed time: 4s
# Generate syntax to open registered data in FSLeyes. This should be run from within the `data-phantom/` folder.
for suffix in suffixes:
    print(f"\n👉 CHECKING REGISTRATION FOR: {suffix}\n")
    cmd = f"fsleyes sub-CRMBM/fmap/sub-CRMBM_{suffix}.nii.gz"
    for subject in [other_subjects for other_subjects in subjects if other_subjects != subject_ref]:
        file_reg = os.path.join(path_data, subject, "fmap", f"{subject}_{suffix}_reg.nii.gz")
        cmd = f"{cmd} {file_reg}"
    # Add mask with color and opacity
    cmd = f"{cmd} sub-CRMBM/fmap/sub-CRMBM_{suffix}_mask.nii.gz --cmap yellow -a 30"
    print(cmd+" &")

# TODO: undisplay all scans but the first
👉 CHECKING REGISTRATION FOR: TFLTB1map

fsleyes sub-CRMBM/fmap/sub-CRMBM_TFLTB1map.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MGH/fmap/sub-MGH_TFLTB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MNI/fmap/sub-MNI_TFLTB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MPI/fmap/sub-MPI_TFLTB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MSSM/fmap/sub-MSSM_TFLTB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-NTNU/fmap/sub-NTNU_TFLTB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-UCL/fmap/sub-UCL_TFLTB1map_reg.nii.gz sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_mask.nii.gz --cmap yellow -a 30 &

👉 CHECKING REGISTRATION FOR: DREAMTB1avgB1map

fsleyes sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MGH/fmap/sub-MGH_DREAMTB1avgB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MNI/fmap/sub-MNI_DREAMTB1avgB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MPI/fmap/sub-MPI_DREAMTB1avgB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MSSM/fmap/sub-MSSM_DREAMTB1avgB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-NTNU/fmap/sub-NTNU_DREAMTB1avgB1map_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-UCL/fmap/sub-UCL_DREAMTB1avgB1map_reg.nii.gz sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz --cmap yellow -a 30 &

👉 CHECKING REGISTRATION FOR: acq-coilQaSagLarge_SNR_T0000

fsleyes sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MGH/fmap/sub-MGH_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MNI/fmap/sub-MNI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MPI/fmap/sub-MPI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-MSSM/fmap/sub-MSSM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-NTNU/fmap/sub-NTNU_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/sub-UCL/fmap/sub-UCL_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz --cmap yellow -a 30 &

Extract values in mask and generate figures#

# Extract B1+ and SNR along the spinal cord mask and save data to CSV files

for subject in subjects:
    os.chdir(os.path.join(path_data, subject, "fmap"))
    
    fname_result_TFLb1plus = os.path.join(path_results, f"{subject}_TFLTB1map.csv")
    fname_result_DREAMb1plus = os.path.join(path_results, f"{subject}_DREAMTB1avgB1map.csv")
    fname_result_SNR = os.path.join(path_results, f"{subject}_acq-coilQaSagLarge_SNR_T0000.csv")

    # For sites other than sub-CRMBM, use the registered qMRI map for metrics extraction
    if subject=='sub-CRMBM':
        file_suffix = ''
    else:
        file_suffix = '_reg'
        
    # Extract metrics within mask defined in the sub-CRMBM space
    !sct_extract_metric -i {subject}_TFLTB1map{file_suffix}.nii.gz -f ../../{subject_ref}/fmap/{subject_ref}_TFLTB1map_mask.nii.gz -method wa -z 19:127 -perslice 1 -o "{fname_result_TFLb1plus}"
    !sct_extract_metric -i {subject}_DREAMTB1avgB1map{file_suffix}.nii.gz -f ../../{subject_ref}/fmap/{subject_ref}_DREAMTB1avgB1map_mask.nii.gz -method wa -z 14:62 -perslice 1 -o "{fname_result_DREAMb1plus}"
    !sct_extract_metric -i {subject}_acq-coilQaSagLarge_SNR_T0000{file_suffix}.nii.gz -f ../../{subject_ref}/fmap/{subject_ref}_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz -method wa -z 151:368 -perslice 1 -o "{fname_result_SNR}"
--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-CRMBM_TFLTB1map.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_mask.nii.gz -method wa -z 19:127 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-CRMBM_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-CRMBM_TFLTB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-CRMBM_TFLTB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-CRMBM_DREAMTB1avgB1map.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz -method wa -z 14:62 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-CRMBM_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-CRMBM_DREAMTB1avgB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-CRMBM_DREAMTB1avgB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz -method wa -z 151:368 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.csv
--


Load metric image...
Estimation for label: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MGH_TFLTB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_mask.nii.gz -method wa -z 19:127 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MGH_TFLTB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_TFLTB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MGH_TFLTB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MGH_DREAMTB1avgB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz -method wa -z 14:62 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MGH_DREAMTB1avgB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_DREAMTB1avgB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MGH_DREAMTB1avgB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MGH_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz -method wa -z 151:368 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MGH_acq-coilQaSagLarge_SNR_T0000.csv
--


Load metric image...
Estimation for label: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MGH_acq-coilQaSagLarge_SNR_T0000.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MNI_TFLTB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_mask.nii.gz -method wa -z 19:127 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MNI_TFLTB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_TFLTB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MNI_TFLTB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MNI_DREAMTB1avgB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz -method wa -z 14:62 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MNI_DREAMTB1avgB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_DREAMTB1avgB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MNI_DREAMTB1avgB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MNI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz -method wa -z 151:368 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MNI_acq-coilQaSagLarge_SNR_T0000.csv
--


Load metric image...
Estimation for label: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MNI_acq-coilQaSagLarge_SNR_T0000.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MPI_TFLTB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_mask.nii.gz -method wa -z 19:127 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MPI_TFLTB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_TFLTB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MPI_TFLTB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MPI_DREAMTB1avgB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz -method wa -z 14:62 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MPI_DREAMTB1avgB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_DREAMTB1avgB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MPI_DREAMTB1avgB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MPI_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz -method wa -z 151:368 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MPI_acq-coilQaSagLarge_SNR_T0000.csv
--


Load metric image...
Estimation for label: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MPI_acq-coilQaSagLarge_SNR_T0000.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MSSM_TFLTB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_mask.nii.gz -method wa -z 19:127 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MSSM_TFLTB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_TFLTB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MSSM_TFLTB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MSSM_DREAMTB1avgB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz -method wa -z 14:62 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MSSM_DREAMTB1avgB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_DREAMTB1avgB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MSSM_DREAMTB1avgB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-MSSM_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz -method wa -z 151:368 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MSSM_acq-coilQaSagLarge_SNR_T0000.csv
--


Load metric image...
Estimation for label: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-MSSM_acq-coilQaSagLarge_SNR_T0000.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-NTNU_TFLTB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_mask.nii.gz -method wa -z 19:127 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-NTNU_TFLTB1map.csv
--

Load metric image...
Estimation for label: sub-CRMBM_TFLTB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-NTNU_TFLTB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-NTNU_DREAMTB1avgB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz -method wa -z 14:62 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-NTNU_DREAMTB1avgB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_DREAMTB1avgB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-NTNU_DREAMTB1avgB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-NTNU_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz -method wa -z 151:368 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-NTNU_acq-coilQaSagLarge_SNR_T0000.csv
--


Load metric image...
Estimation for label: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-NTNU_acq-coilQaSagLarge_SNR_T0000.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-UCL_TFLTB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_mask.nii.gz -method wa -z 19:127 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-UCL_TFLTB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_TFLTB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-UCL_TFLTB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-UCL_DREAMTB1avgB1map_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz -method wa -z 14:62 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-UCL_DREAMTB1avgB1map.csv
--


Load metric image...
Estimation for label: sub-CRMBM_DREAMTB1avgB1map_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-UCL_DREAMTB1avgB1map.csv

--
Spinal Cord Toolbox (git-master-b7e8bdd2ff71653e98b34becd6f71b82640fbf71)

sct_extract_metric -i sub-UCL_acq-coilQaSagLarge_SNR_T0000_reg.nii.gz -f ../../sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz -method wa -z 151:368 -perslice 1 -o /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-UCL_acq-coilQaSagLarge_SNR_T0000.csv
--


Load metric image...
Estimation for label: sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask

Done! To view results, type:
xdg-open /home/runner/work/coil-qc-code/coil-qc-code/data-phantom/derivatives/results/sub-UCL_acq-coilQaSagLarge_SNR_T0000.csv

Correct SNR using B1+ values#

SNR depends on the effective flip angle at each voxel, which is influenced by the B1+ efficiency and the transmit homogeneity. Therefore, if we want to report SNR values independently of the actual flip angle played out, we need to correct the SNR maps. To do so, we divide the reconstructed SNR maps by \(\sin(\text{FA}_{\text{gre, meas}})\), where \(\text{FA}_{\text{gre, meas}}\) is the actual flip angle map for the GRE SNR scan. By normalizing, we extrapolate to the SNR value that we would achieve with \( \text{FA} = 90^\circ \):

\[\text{SNR}_{90} = \frac{\text{SNR}_{\text{meas}}}{\sin(\text{FA}_{\text{gre, meas}})}\]

\(\text{FA}_{\text{gre, meas}}\) is computed from the TFL B1+ scan as follows:

\[\text{FA}_{\text{gre, meas}} = \text{FA}_{\text{gre, requested}} \times \left( \frac{\text{FA}_{\text{TFL, meas}}}{\text{FA}_{\text{TFL, requested}}} \right)\]

The ratio \(\frac{\text{FA}_{\text{TFL, meas}}}{\text{FA}_{\text{TFL, requested}}}\) is obtained from the TFL B1+ efficiency values, which were previously extracted slicewise and saved as a CSV file.

Before doing this correction, given that the B1+ and SNR maps don’t have the same spatial resolution, we need to interpolate the B1+ array to match its length with that of the SNR array.

Reference: https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.27695

for subject in subjects:
    
    fname_result_TFLb1plus = os.path.join(path_results, f"{subject}_TFLTB1map.csv")
    fname_result_SNR = os.path.join(path_results, f"{subject}_acq-coilQaSagLarge_SNR_T0000.csv")
    fname_result_SNR_corrected = os.path.join(path_results, f"{subject}_acq-coilQaSagLarge_SNR_T0000_corrected.csv")

    # INTERPOLATE B1+ MAP TO MATCH THE LENGTH OF THE SNR DATA
    # =======================================================
    # Read B1 values
    df_b1 = pd.read_csv(fname_result_TFLb1plus)
    b1_map = df_b1["WA()"].values
    # Read SNR values
    df_snr = pd.read_csv(fname_result_SNR)
    snr = df_snr["WA()"].values
    # Create interpolation function based on the length of snr
    x = np.linspace(0, len(b1_map) - 1, len(b1_map))  # x values for original data points
    f = interp1d(x, b1_map, kind='linear')
    # Generate new x values to match the length of the `snr` array
    x_new = np.linspace(0, len(b1_map) - 1, len(snr))
    # Interpolate to get the new y values with the length of `snr`
    b1_map_interp = f(x_new)

    # CORRECT SNR VALUES FOR B1+ INHOMOGENEITY
    # ========================================
    # Fetch the reference voltage for the TFL scan
    # TODO: create a function for this
    with open(os.path.join(path_data, subject, "fmap", 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])
    # Fetch the flip angle for the TFL scan
    with open(os.path.join(path_data, subject, "fmap", f"{subject}_acq-famp_TB1TFL.json"), "r") as f:
        metadata = json.load(f)
        requested_fa_tfl = metadata.get("FlipAngle", "N/A")
    # 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
    # measured-to-requested flip angle using B1 values (in nT/V)
    meas_to_requested_fa = 10 * b1_map_interp * GAMMA * 1e-3 * voltage_at_socket / (np.pi * 1e9)
    # Fetch the requested flip angle for the SNR GRE scan
    with open(os.path.join(path_data, subject, "fmap", f"{subject}_acq-coilQaSagLarge_SNR.json"), "r") as f:
        metadata = json.load(f)
        requested_fa_gre = metadata.get("FlipAngle", "N/A")
    # Correct the SNR values for B1+ inhomogeneity
    snr_corrected = snr / np.sin(np.deg2rad(requested_fa_gre * meas_to_requested_fa))
    # Save corrected SNR values to CSV
    df_snr_corrected = pd.DataFrame(snr_corrected)
    # Insert 'WA()' as the first value in the DataFrame
    df_snr_corrected.loc[-1] = ['WA()'] + [None] * (df_snr_corrected.shape[1] - 1)  # Prepend 'WA()' to the first column
    df_snr_corrected.index = df_snr_corrected.index + 1  # Shift index
    df_snr_corrected = df_snr_corrected.sort_index()  # Sort index to move the new row to the top
    # Save corrected SNR values to CSV
    df_snr_corrected.to_csv(fname_result_SNR_corrected, index=False, header=False)

Generate figures#

g-factor maps#

# Compute the average and maximum 1/g factor in a central ROI
# Display 1/g factor maps and T2w (coil-combined) maps for each site (MSSM excluded, see: https://github.com/spinal-cord-7t/coil-qc-code/issues/61)

sites = ["CRMBM", "MNI", "MPI", "UCL", "MGH", "NTNU"] # MSSM excluded, see: https://github.com/spinal-cord-7t/coil-qc-code/issues/61
site_colors = ['cornflowerblue', 'firebrick', 'limegreen', 'royalblue', 'darkred', 'green']

# map types
map_types = ["acq-coilQaSagSmall_GFactor", "T2starw"]
# legend types
legend_types = ["[1/g]", "[a.u.]"]

mean_gfac = {}

for map_type, legend_type in zip(map_types,legend_types):
    
    # Create a figure with multiple subplots
    fig, axes = plt.subplots(2, 3, figsize=(10, 8))
    font_size = 12
    axes=axes.flatten() 
        
    for i,site in enumerate(sites):
        # T2starw
        if map_type=="T2starw":
            os.chdir(os.path.join(path_data, f"sub-{site}", "anat"))
            map=nib.load(f"sub-{site}_{map_type}.nii.gz")
            data=map.get_fdata()[:,:,round(map.get_fdata().shape[2]/2)]
        # g-factor maps
        else:
            os.chdir(os.path.join(path_data, f"sub-{site}", "fmap"))
            map=nib.load(f"sub-{site}_{map_type}.nii.gz")
            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
        
        # 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],3)), size=14)
            
            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) 
            
        elif map_type=="T2starw":
            dynmax = 2100
            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 = 0.2  # This might need adjustment
    cbar_height = 0.6  # 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()
_images/c916ca8df02bd2f64cf8a4f43525e8b9a54c4d3be9a9764dd7887e20c288b96d.png _images/2c972699dc27fac44c3aa055aba36032031488d8a839705f07221e3747f28b59.png

B1+ and SNR maps#

sites = ["CRMBM", "UCL", "MNI", "MGH", "MPI", "NTNU", "MSSM"]
colors = ['cornflowerblue', 'royalblue', 'firebrick', 'darkred', 'limegreen', 'green', 'mediumpurple']

# map types
map_types = ["TFLTB1map", "DREAMTB1avgB1map", "acq-coilQaSagLarge_SNR_T0000"]

# Define the dictionary with ranges for each map type
# NIfTI voxel location: (xmin, xmax, ymin, ymax, zdata, zmask)
range_dict = {
    "TFLTB1map": (19, 83, 21, 122, 23, 23),
    "DREAMTB1avgB1map": (18, 79, 14, 62, 5, 5),
    "acq-coilQaSagLarge_SNR_T0000": (217, 317, 176, 335, 6, 6),
}

# legend types
legend_types = ["B1+ [nT/V]", "B1+ [nT/V]", "SNR [a.u.]"]

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
        os.chdir(os.path.join(path_data, f"sub-{site}", "fmap"))
        if site=='CRMBM':
            map=nib.load(f"sub-{site}_{map_type}.nii.gz")
            if map_type=="TFLTB1map":
                mask=nib.load(f"sub-CRMBM_TFLTB1map_mask.nii.gz")
            elif map_type=="DREAMTB1avgB1map":
                mask=nib.load(f"sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz")
            else: 
                mask=nib.load(f"sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz")
        else:
            map=nib.load(f"sub-{site}_{map_type}_reg.nii.gz")
            if map_type=="TFLTB1map":
                mask=nib.load(f"../../sub-CRMBM/fmap/sub-CRMBM_TFLTB1map_mask.nii.gz")
            elif map_type=="DREAMTB1avgB1map":
                mask=nib.load(f"../../sub-CRMBM/fmap/sub-CRMBM_DREAMTB1avgB1map_mask.nii.gz")
            else: 
                mask=nib.load(f"../../sub-CRMBM/fmap/sub-CRMBM_acq-coilQaSagLarge_SNR_T0000_mask.nii.gz")

        # Crop data for display
        data = map.get_fdata()[
            range_dict[map_type][0]:range_dict[map_type][1],
            range_dict[map_type][2]:range_dict[map_type][3],
            range_dict[map_type][4]]
        mask_data = mask.get_fdata()[
            range_dict[map_type][0]:range_dict[map_type][1],
            range_dict[map_type][2]:range_dict[map_type][3],
            range_dict[map_type][5]]

        # Binarize mask for display purpose
        mask_data = (mask_data > 0.5).astype(int)
        
        # Plot
        dynmin = 0 
        if map_type=="acq-coilQaSagLarge_SNR_T0000":
            dynmax = 310
        else:
            dynmax = 75    
            
        splot=axes[i]
        im1 = splot.imshow((data.T), cmap='viridis', origin='lower',vmin=dynmin,vmax=dynmax)
        # im2 = splot.imshow((mask_data.T), 'gray', origin='lower', alpha=0.2)
        splot.contour(mask_data.T, levels=[0.5], colors='white', linewidths=0.5)
        splot.set_title(site, size=font_size,c=colors[i])
        splot.axis('off')    
    
    # Display mean signal within mask for each site in an additional sub-plot
    for site,color in zip(sites,colors):
        # Read CSV file
        if map_type == "acq-coilQaSagLarge_SNR_T0000":
            file_csv = os.path.join(path_results, f"sub-{site}_{map_type}_corrected.csv")
        else:
            file_csv = os.path.join(path_results, f"sub-{site}_{map_type}.csv")
        df = pd.read_csv(file_csv)
        data = df['WA()'].dropna()
        # Smooth data
        data = uniform_filter1d(data, 10, mode='nearest')
        # Display plot
        axes[-1].plot(data, label=site, c=color)
        axes[-1].legend(fontsize=10, loc='center left', bbox_to_anchor=(1.2, 0.5))
        axes[-1].yaxis.set_label_position("right")
        axes[-1].yaxis.tick_right()
        axes[-1].set_xticks([])  # Remove x-axis ticks
        axes[-1].set_xlabel("← superior    inferior →", fontsize=12, loc='center')
        # axes[-1].set_yticks([])  # Remove y-axis ticks
        axes[-1].invert_xaxis()  # Reverse the x-axis
        axes[-1].yaxis.grid(True, color='grey', linestyle='-', linewidth=0.5)

    # Reduce the space between the rows of subplots
    fig.subplots_adjust(hspace=-0.2)  # Adjust this value as needed to reduce spacing

    # Adjust figure subplots
    plt.tight_layout()
    box = axes[-1].get_position()
    new_height = box.height * 0.76  # Reduce the height of the second subplot by 50%
    axes[-1].set_position([box.x0, box.y0 + 0.068, box.width, new_height])

    # Colorbar
    cbar_bottom = 0.545  # This might need adjustment
    cbar_height = 0.37  # This represents the total height of both rows of subplots
    if (map_type == "TFLTB1map" or map_type == "DREAMTB1avgB1map" or map_type == "acq-coilQaSagLarge_SNR_T0000"):
        cbar_dist = -0.1
    else:
        cbar_dist = 1.01
    cbar_ax = fig.add_axes([0.9, cbar_bottom, 0.02, cbar_height])
    cbar = plt.colorbar(im1, cax=cbar_ax)
    cbar_ax.set_title(legend_type, size=10)
    
    plt.show()
_images/297f46de5f64297bdc93b896ad2394094a1639fa12bb740bae08ee5577b9013e.png _images/efa4c14feef51539488b7d554c7a772a270c0fc5623b92c9e18fc94b17ca4f9c.png _images/12491639362bb9350080809c805b2e88da63dee335054547fbad5b1eff651f44.png

Individual coil channels#

sites = ["CRMBM", "UCL", "MNI", "MGH", "MPI", "NTNU", "MSSM"]
        
for i,site in enumerate(sites):

    gre_files=sorted(glob.glob(os.path.join(path_data, f"sub-{site}", "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)
_images/1d045d751e361e0530b693c48fdb8a108d99067bac140f2da9e54cf9a04c7754.png _images/9f448ddd1b324a547502b730a2476d8899ed3308452e156ce9c9cb733a04469f.png _images/60ead7d66a6bba24125993f59f842514b91a7f4ea0abcb5602bacc097b781098.png _images/8f0ba84a240f5902ef2199bf456fc6df32d244d8297cc3ba100b96ea59fd100d.png _images/deebb4d294f70aa5c9765c0a304f962926c6354b4df5bc4f90764d028880e569.png _images/3c6e0be6183a88458aaed90b73342dfc70c30de3411d9a635a352ac6cf475fc7.png _images/7503e93342f0915e71aa615fba5a2f505fcb3b3dcc70e32c649fb71c2c6f0dae.png

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]: 0:04:40.812180