Create a git-annex repo for data from Karolinska #16

plbenveniste · 2024-05-28T19:54:35Z

The data is stored in duke:mri/karo/20200612_longitudinal
The steps are the following:

A git-annex repo should be created :
The data should be Bidsfied
The data should be pushed to the repo
A PR should be opened
The PR should be merged.

@jcohenadad What name should be used for the git-annex repo ? ms-karolinska ?

@mguaypaq Could you create the corresponding git-annex repo ?

This is related to issue 76. Creating this issue here to centralize the work on MS dataset.

jcohenadad · 2024-05-28T20:06:32Z

What name should be used for the git-annex repo ? ms-karolinska ?

given that karolinska has/will contribute to multiple datasets, coming from different studies, I think we need to specify them. Eg, this one could be called: ms-karolinska-2020

plbenveniste · 2024-05-28T20:29:55Z

Thanks @jcohenadad !

I am currently working on the bidsification of the data and facing a few issues. I am following the dcm2bids tutorial and ran the following commands:

conda activate dcm2bids
mkdir bids_karo
dcm2bids_scaffold -o bids_karo

The config file I created is the following (feedback is welcome on the suffixes chosen). It is stored in bids_karo/code

{
  "descriptions": [
    {
      "datatype": "anat",
      "suffix": "acq-MPRsag_T1w",
      "criteria": {
        "SeriesDescription": "t1_mpr_ns_sag_1mm_iso"
      } 
    },
    {
      "datatype": "anat",
      "suffix": "acq-sagDF_T2w",
      "criteria": {
        "SeriesDescription": "t2_space_dark-fluid_sag_REK_tra_3mm"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-sagDF_T2w",
      "criteria": {
        "SeriesDescription": "t2_space_dark-fluid_sag_REK_3mm_tra"
      }
    },
  
    {
      "datatype": "anat",
      "suffix": "acq-tseSag_T2w",
      "criteria": {
        "SeriesDescription": "t2_tse_sag_MS"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-sagP2_T2w",
      "criteria": {
        "SeriesDescription": "t2_space_sag_p2_iso_REK_tra_3mm"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-sagP2_T2w",
      "criteria": {
        "SeriesDescription": "t2_space_sag_p2_iso_REK_3mm_tra"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-me2d_T2w",
      "criteria": {
        "SeriesDescription": "t2_me2d_tra_p2_3mm"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-tse_T2w",
      "criteria": {
        "SeriesDescription": "t2_tse_tra"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-MPRsag_T1w",
      "criteria": {
        "SeriesDescription": "t1_mpr_ns_sag_1mm_iso_REK_1mm_tra"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-MPRsag_T1w",
      "criteria": {
        "SeriesDescription": "t1_mpr_ns_sag_1mm_iso_MPR_3mm_tra"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-MPRsagDF_T2w",
      "criteria": {
        "SeriesDescription": "t2_space_dark-fluid_sag_MPR_3mm_tra"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-MPRsagP2_T2w",
      "criteria": {
        "SeriesDescription": "t2_space_sag_p2_iso_MPR_3mm_tra"
      }
    }    
  ]
}

I created the following bash script to convert the dcm images to BIDS:

#!/bin/bash

# Check if the correct number of arguments is provided
if [ "$#" -ne 3 ]; then
    echo "Usage: $0 path/to/config.json path/to/output_dir path/to/dicom"
    exit 1
fi

# Get the config file, output directory, and DICOM directory from the command line arguments
config_file="$1"
output_dir="$2"
dicom_path="$3"

# Iterate over each folder in the DICOM directory
for folder in "$dicom_path"/SW1-*; do
  # Check if it is a directory
  if [ -d "$folder" ]; then
    # Extract participant and session info from the folder name
    # The folder bame is */SW1-1773_M0: the participant should be 1773 and the session M0
    subfolder="${folder##*/}"
    # Participant is the number after SW1- and before _
    participant="${subfolder#SW1-}"
    participant="${participant%%_*}"
    # Session is the letter after the _
    session="${subfolder##*_}"

    echo "Converting participant $participant session $session"

    # Define the DICOM directory
    dicom_dir="$folder"

    # Run dcm2bids
    dcm2bids -d "$dicom_dir" -p "$participant" -s "$session" -c "$config_file" -o "$output_dir" --bids_validate
  fi
done

echo "All conversions are done."

The script was ran using the following command:

bids_karo/code/convert_dcm2bids.sh bids_karo/code/dcm2bids_config.json  bids_karo/ 20200612_longitudinal/Karolinska_data.1/

However, some files don't have the field SeriesDescription and that was raised in the output :

INFO    | SIDECAR PAIRING
INFO    | No Pairing  <-  001_SW1-1875_M12_0_i00001
INFO    | No Pairing  <-  001_SW1-1875_M12_0_i00004
INFO    | No Pairing  <-  002_SW1-1875_M12_0
INFO    | No Pairing  <-  002_SW1-1875_M12_0a
INFO    | No Pairing  <-  003_SW1-1875_M12_0
INFO    | No Pairing  <-  003_SW1-1875_M12_0a
INFO    | No Pairing  <-  004_SW1-1875_M12_0
WARNING | NO PAIRING WAS FOUND. BIDS FOLDER "BIDS_KARO/SUB-1875/SES-M12" WON'T BE CREATED. CHECK YOUR CONFIG FILE.

You can find these files and logs in the following folder : duke/temp/plben/create_karo_gitannex/bids_karo/tmp_dcm2bids

What should I do ? How should I modify my config file to work with these files (I just showed an example but there are more that didn't work).

@jcohenadad @valosekj @NathanMolinier Any ideas ?

plbenveniste · 2024-05-30T21:53:15Z

After some investigation, I found that using "SequenceName" would work as well to create the file suffix.
The suffixes created are the following:

{
  "descriptions": [
    {
      "datatype": "anat",
      "suffix": "acq-sagMprage_T1w",
      "criteria": {
        "SequenceName": "*tfl3d1_16ns"
      } 
    },
    {
      "datatype": "anat",
      "suffix": "acq-sagTse_T2w",
      "criteria": {
        "SequenceName": "*tseR2d1rr19"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-me2d_T2w",
      "criteria": {
        "SequenceName": "*me2d1r4"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-Tse_T2w",
      "criteria": {
        "SequenceName": "*tseR2d1rs17"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-sagMprageDf_T2w",
      "criteria": {
        "SequenceName": "*spcir_278ns"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-sagMprageP2_T2w",
      "criteria": {
        "SequenceName": "*spcR_282ns"
      }
    },
    {
      "datatype": "anat",
      "suffix": "localiser",
      "criteria": {
        "SequenceName": "*fl2d1"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-sag_T1w",
      "criteria": {
        "SequenceName": "*spcir_257ns"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-epB0",
      "criteria": {
        "SequenceName": "*ep_b0"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-epB01000",
      "criteria": {
        "SequenceName": "*ep_b0_1000"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-epB1000t",
      "criteria": {
        "SequenceName": "*ep_b1000t"
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-cor_T1w",
      "criteria": {
        "SequenceName": "*h2d1_205",
        "ImageOrientationPatientDICOM": [1,0,0,0,0,-1]
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-sag_T1w",
      "criteria": {
        "SequenceName": "*h2d1_205",
        "ImageOrientationPatientDICOM": [0,1,0,0,0,-1]
      }
    },
    {
      "datatype": "anat",
      "suffix": "acq-ax_T1w",
      "criteria": {
        "SequenceName": "*h2d1_205",
        "ImageOrientationPatientDICOM": [1,0,0,0,1,0]
      }
    }
  ]
}

This should cover every-case in the dataset.

Only the following files were not transfered because they didn't look relevant:

100_SW1-2128_M12_0a_ROI1.nii.gz
101_SW1-2128_M12_0_ROI1.nii.gz
103_SW1-2128_M12_0a_ROI1.nii.gz
104_SW1-2128_M12_0_ROI1.nii.gz
106_SW1-2128_M12_0a_ROI1.nii.gz
107_SW1-2128_M12_0_ROI1.nii.gz
100_SW1-2128_M12_0_ROI1.nii.gz
102_SW1-2128_M12_0a_ROI1.nii.gz
103_SW1-2128_M12_0_ROI1.nii.gz
105_SW1-2128_M12_0a_ROI1.nii.gz
106_SW1-2128_M12_0_ROI1.nii.gz
108_SW1-2128_M12_0a_ROI1.nii.gz
101_SW1-2128_M12_0a_ROI1.nii.gz
102_SW1-2128_M12_0_ROI1.nii.gz
104_SW1-2128_M12_0a_ROI1.nii.gz
105_SW1-2128_M12_0_ROI1.nii.gz
107_SW1-2128_M12_0a_ROI1.nii.gz
108_SW1-2128_M12_0_ROI1.nii.gz

Feedback on the chosen conventions would be appreciated.

plbenveniste · 2024-05-30T22:02:55Z

The files contained in the 4 folders (Karolinska_data.1, Karolinska_data.2, Karolinska_data.3 and `Karolinska_data.4) were bidsified using the following line of code:

bids_karo/code/convert_dcm2bids.sh bids_karo/code/dcm2bids_config.json  bids_karo/ 20200612_longitudinal/Karolinska_data.1
bids_karo/code/convert_dcm2bids.sh bids_karo/code/dcm2bids_config.json  bids_karo/ 20200612_longitudinal/Karolinska_data.2
bids_karo/code/convert_dcm2bids.sh bids_karo/code/dcm2bids_config.json  bids_karo/ 20200612_longitudinal/Karolinska_data.3
bids_karo/code/convert_dcm2bids.sh bids_karo/code/dcm2bids_config.json  bids_karo/ 20200612_longitudinal/Karolinska_data.4

The metadata was added using the file code/add_dataset_metadata.py which takes data from the file 20200612_longitudinal/Karolinska_data_exported_2020.06.12\ .xlsx.

Everything is done and stored on /home/GRAMES.POLYMTL.CA/p119007/create_karo_gitannex/bids_karo.

Waiting for review of the conventions and the creation of the git-annex repo.

mguaypaq · 2024-06-11T15:13:03Z

I created the repo and gave @plbenveniste write access:
https://data.neuro.polymtl.ca/datasets/ms-karolinska-2020

plbenveniste · 2024-06-11T19:02:50Z

Some modifications were done in the .json file to make sure that DWI files are stored under /dwi and not /anat.
Also, the localizers were done for T1w images, therefore the contrast was added in the file name.

plbenveniste · 2024-06-11T19:47:48Z

The data was copied from the folder on romane to the git-annex folder using the following command :

cp -a bids-karo/. ms-karolinska-2020/

Useless files were removed (such as tmpdcm2bids). It was commited and then pushed to the remote branch.

Now ready for review!

mguaypaq · 2024-06-21T20:33:34Z

I left some review comments on the pull request:
https://data.neuro.polymtl.ca/datasets/ms-karolinska-2020/pulls/1

plbenveniste · 2024-07-10T00:22:20Z

@jcohenadad I am not sure if you are seeing the tags when I tagged you here.
Could you answer these questions please ?

Some files were deleted because they were missing bval and bvec.
Here is an example of image: (can be seen on the original post)
Do you think this is the right strategy ?
Also, what is the name and email address of the contact person for this dataset ?

jcohenadad · 2024-07-10T02:19:13Z

Indeed I had missed the tagging (please note that I don't receive any notification when you tag me with this username-- because of an issue with my account i have to log in with julien-temp)-- thank you for the reminder.

plbenveniste · 2024-07-10T16:04:40Z

@mguaypaq The requested modifications were completed. 😃

plbenveniste · 2024-07-18T21:21:37Z

I am currently reviewing the suffixes of the image of the dataset.
Here are the possible combinations of seriesDescription, scanningSequence and SequenceName:

                       SeriesDescription ScanningSequence  SequenceName
0        t2_space_sag_p2_iso_MPR_3mm_tra               SE   *spcR_282ns
1                          t2_tse_sag_MS               SE  *tseR2d1rr19
2                     t2_me2d_tra_p2_3mm               GR      *me2d1r4
3      t1_mpr_ns_sag_1mm_iso_MPR_3mm_tra            GR\IR  *tfl3d1_16ns
4                             t2_tse_tra               SE  *tseR2d1rs17
5    t2_space_dark-fluid_sag_MPR_3mm_tra            SE\IR  *spcir_278ns
8      t1_mpr_ns_sag_1mm_iso_REK_1mm_tra            GR\IR  *tfl3d1_16ns
10   t2_space_dark-fluid_sag_REK_3mm_tra            SE\IR  *spcir_278ns
11       t2_space_sag_p2_iso_REK_3mm_tra               SE   *spcR_282ns
18                                                  GR\IR  *tfl3d1_16ns
19                                                     GR      *me2d1r4
20                                                  SE\IR  *spcir_278ns
21                                                     SE  *tseR2d1rr19
22                                                     SE   *spcR_282ns
23                                                     SE  *tseR2d1rs17
36                                                     GR        *fl2d1
72                                                  SE\IR  *spcir_257ns
137                                                    SE     *h2d1_205
380                t1_mpr_ns_sag_1mm_iso            GR\IR  *tfl3d1_16ns
384      t2_space_sag_p2_iso_REK_tra_3mm               SE   *spcR_282ns
385  t2_space_dark-fluid_sag_REK_tra_3mm            SE\IR  *spcir_278ns

jcohenadad · 2024-07-19T12:33:41Z

Excellent, everything looks good, except "36: fl2d1" which is GR\IR instead of GR

plbenveniste · 2024-07-19T14:24:20Z

Just reminding, but this was extracted from the json sidecar (not written by me).
From your comment, I understand that *fl2d1 is a T1w instead of a T2w right?

EDIT: It cannot be MPRAGE since the images are anisotropic

plbenveniste · 2024-07-19T19:42:12Z

Here are the associated acq and suffix chosen for each:

                       SeriesDescription ScanningSequence  SequenceName      suffix-acq suffix-contrast
0        t2_space_sag_p2_iso_MPR_3mm_tra               SE   *spcR_282ns      acq-isoMPR             T2w
1                          t2_tse_sag_MS               SE  *tseR2d1rr19      acq-sagTse             T2w
2                     t2_me2d_tra_p2_3mm               GR      *me2d1r4          acq-ax          T2star
3      t1_mpr_ns_sag_1mm_iso_MPR_3mm_tra            GR\IR  *tfl3d1_16ns      acq-isoMpr          MPRAGE
4                             t2_tse_tra               SE  *tseR2d1rs17       acq-axTse             T2w
5    t2_space_dark-fluid_sag_MPR_3mm_tra            SE\IR  *spcir_278ns  acq-sagDfirMpr             T2w
8      t1_mpr_ns_sag_1mm_iso_REK_1mm_tra            GR\IR  *tfl3d1_16ns      acq-isoRek          MPRAGE
10   t2_space_dark-fluid_sag_REK_3mm_tra            SE\IR  *spcir_278ns  acq-sagDfirRek             T2w
11       t2_space_sag_p2_iso_REK_3mm_tra               SE   *spcR_282ns      acq-isoRek             T2w
18                                                  GR\IR  *tfl3d1_16ns         acq-iso          MPRAGE
19                                                     GR      *me2d1r4          acq-ax          T2star
20                                                  SE\IR  *spcir_278ns     acq-sagDfir             T2w
21                                                     SE  *tseR2d1rr19      acq-sagTse             T2w
22                                                     SE   *spcR_282ns         acq-iso             T2w
23                                                     SE  *tseR2d1rs17       acq-axTse             T2w
36                                                     GR\IR        *fl2d1   acq-localizer             T1w
72                                                  SE\IR  *spcir_257ns  acq-sagDfir257             T2w
137                                                    SE     *h2d1_205                             T2w
380                t1_mpr_ns_sag_1mm_iso            GR\IR  *tfl3d1_16ns         acq-iso          MPRAGE
384      t2_space_sag_p2_iso_REK_tra_3mm               SE   *spcR_282ns      acq-isoRek             T2w
385  t2_space_dark-fluid_sag_REK_tra_3mm            SE\IR  *spcir_278ns  acq-sagDfirRek             T2w

For the *h2d1_205, the acq param is chosen depending on the orientation of the image.

Working on the code to implement this now.

plbenveniste · 2024-07-19T21:23:52Z

Modifications were done with the script update_anat_suffixes.py and pushed to the development branch for review.

plbenveniste · 2024-07-24T13:26:35Z

Referencing this issue (issue 63) which is linked to the previous pre-processing of the karolinska data.

plbenveniste · 2024-07-24T14:05:19Z

Used command line to rename files from MPRAGE to T1w

find . -type f -name '*MPRAGE.*' -exec bash -c 'for file; do mv "$file" "${file/MPRAGE./T1w.}"; done' _ {} +

Pushed to git-annex

plbenveniste · 2024-08-12T19:21:19Z

Based on the comment neuropoly/data-management#63 (comment), I am reviewing the suffixes chosen for the karolinska dataset.

                       SeriesDescription ScanningSequence  SequenceName      suffix-acq suffix-contrast
0        t2_space_sag_p2_iso_MPR_3mm_tra               SE   *spcR_282ns      acq-isoMpr             T2w
1                          t2_tse_sag_MS               SE  *tseR2d1rr19      acq-sagTse             T2w
2                     t2_me2d_tra_p2_3mm               GR      *me2d1r4          acq-ax           MEGRE   Changed
3      t1_mpr_ns_sag_1mm_iso_MPR_3mm_tra            GR\IR  *tfl3d1_16ns      acq-isoMpr          MPRAGE
4                             t2_tse_tra               SE  *tseR2d1rs17       acq-axTse             T2w
5    t2_space_dark-fluid_sag_MPR_3mm_tra            SE\IR  *spcir_278ns         acq-sag           FLAIR   Changed
8      t1_mpr_ns_sag_1mm_iso_REK_1mm_tra            GR\IR  *tfl3d1_16ns      acq-isoRek          MPRAGE
10   t2_space_dark-fluid_sag_REK_3mm_tra            SE\IR  *spcir_278ns         acq-sag           FLAIR   Changed
11       t2_space_sag_p2_iso_REK_3mm_tra               SE   *spcR_282ns      acq-isoRek             T2w
18                                                  GR\IR  *tfl3d1_16ns         acq-iso          MPRAGE
19                                                     GR      *me2d1r4          acq-ax           MEGRE   Changed
20                                                  SE\IR  *spcir_278ns         acq-sag           FLAIR   Changed
21                                                     SE  *tseR2d1rr19      acq-sagTse             T2w
22                                                     SE   *spcR_282ns         acq-iso             T2w
23                                                     SE  *tseR2d1rs17       acq-axTse             T2w
36                                                  GR\IR        *fl2d1   acq-localizer             T1w
72                                                  SE\IR  *spcir_257ns      acq-sag257           FLAIR   Changed
137                                                    SE     *h2d1_205                             T2w
380                t1_mpr_ns_sag_1mm_iso            GR\IR  *tfl3d1_16ns         acq-iso          MPRAGE
384      t2_space_sag_p2_iso_REK_tra_3mm               SE   *spcR_282ns      acq-isoRek             T2w
385  t2_space_dark-fluid_sag_REK_tra_3mm            SE\IR  *spcir_278ns         acq-sag           FLAIR   Changed

Waiting for review from @jcohenadad and/or @NathanMolinier before applying on the dataset.

NathanMolinier · 2024-08-28T12:50:36Z

Shouldn't we use T1w instead of MPRAGE for suffixes ?

It actually looks like you already change that here

plbenveniste · 2024-08-28T13:55:15Z

Great catch @NathanMolinier ! Thanks for the feedback ! Does the rest look good to you ?

valosekj · 2024-08-28T14:09:35Z

Maybe we should use T2star instead of MEGRE?

plbenveniste · 2024-08-28T14:11:35Z

Maybe we should use T2star instead of MEGRE?

I used MEGRE because of what I found in this comment : neuropoly/data-management#63 (comment)

valosekj · 2024-08-28T14:11:48Z

And maybe acq-isoRek --> acq-iso? (no need for Rek?)

valosekj · 2024-08-28T14:17:40Z

Maybe we should use T2star instead of MEGRE?

I used MEGRE because of what I found in this comment : neuropoly/data-management#63 (comment)

Interesting! But T2star still seems to be a valid BIDS suffix, right? Although, BIDS recommends updating it to T2starw:

If we agree to use MEGRE for T2* images, we will need to update most of our existing datasets.

plbenveniste · 2024-08-28T14:20:32Z

I think we decided to use MEGRE in this case because of the specific sequence used: which is me2d. I guess for other T2star images it would depend on the sequence used.

plbenveniste · 2024-08-28T14:22:09Z

And maybe acq-isoRek --> acq-iso? (no need for Rek?)

For this one, I kept REK because otherwise I would have two identical names for different images (because of `acq-isoMpr.

plbenveniste · 2024-09-10T15:05:54Z

Here is the final version of the suffix chosen:

                       SeriesDescription ScanningSequence  SequenceName      suffix-acq suffix-contrast
0        t2_space_sag_p2_iso_MPR_3mm_tra               SE   *spcR_282ns      acq-isoMpr             T2w
1                          t2_tse_sag_MS               SE  *tseR2d1rr19      acq-sagTse             T2w
2                     t2_me2d_tra_p2_3mm               GR      *me2d1r4          acq-ax           MEGRE   Changed
3      t1_mpr_ns_sag_1mm_iso_MPR_3mm_tra            GR\IR  *tfl3d1_16ns      acq-isoMpr             T1w   Changed
4                             t2_tse_tra               SE  *tseR2d1rs17       acq-axTse             T2w
5    t2_space_dark-fluid_sag_MPR_3mm_tra            SE\IR  *spcir_278ns         acq-sag           FLAIR   Changed
8      t1_mpr_ns_sag_1mm_iso_REK_1mm_tra            GR\IR  *tfl3d1_16ns      acq-isoRek             T1w   Changed
10   t2_space_dark-fluid_sag_REK_3mm_tra            SE\IR  *spcir_278ns         acq-sag           FLAIR   Changed
11       t2_space_sag_p2_iso_REK_3mm_tra               SE   *spcR_282ns      acq-isoRek             T2w 
18                                                  GR\IR  *tfl3d1_16ns         acq-iso             T1w   Changed
19                                                     GR      *me2d1r4          acq-ax           MEGRE   Changed
20                                                  SE\IR  *spcir_278ns         acq-sag           FLAIR   Changed
21                                                     SE  *tseR2d1rr19      acq-sagTse             T2w
22                                                     SE   *spcR_282ns         acq-iso             T2w
23                                                     SE  *tseR2d1rs17       acq-axTse             T2w
36                                                  GR\IR        *fl2d1   acq-localizer             T1w
72                                                  SE\IR  *spcir_257ns      acq-sag257           FLAIR   Changed
137                                                    SE     *h2d1_205                             T2w
380                t1_mpr_ns_sag_1mm_iso            GR\IR  *tfl3d1_16ns         acq-iso             T1w   Changed
384      t2_space_sag_p2_iso_REK_tra_3mm               SE   *spcR_282ns      acq-isoRek             T2w
385  t2_space_dark-fluid_sag_REK_tra_3mm            SE\IR  *spcir_278ns         acq-sag           FLAIR   Changed

Thanks for the feedback everybody !
I will do the modifications now!

plbenveniste · 2024-09-10T15:50:36Z

Modifications done :

python code/update_anat_suffixes.py -i ~/update_gitannex/ms-karolinska-2020/

The PR is ready for review 😃

plbenveniste added the data label May 28, 2024

plbenveniste self-assigned this May 28, 2024

mguaypaq mentioned this issue Jun 11, 2024

Add a first little bit of dataset admin guide neuropoly/intranet.neuro.polymtl.ca#126

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plbenveniste mentioned this issue Jun 13, 2024

Remove karo subjects from sct-testing-large #22

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plbenveniste mentioned this issue Jul 24, 2024

Adding DWI data to the dataset ms-karolinksa-2020 neuropoly/data-management#333

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Create a git-annex repo for data from Karolinska #16

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Create a git-annex repo for data from Karolinska #16

Create a git-annex repo for data from Karolinska #16

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