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Add datasets D4, D5 and models M4, M5 #23

Merged
merged 11 commits into from
Dec 13, 2023
64 changes: 60 additions & 4 deletions training/README.md
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# Spinal Nerve Rootlets Segmentation on T2w Images

## 0) Dependencies

- nnUNetV2 - GPU installation for model training: [here](https://github.com/ivadomed/utilities/blob/main/quick_start_guides/nnU-Net_quick_start_guide.md#installation)

## 1) Project Overview

The goal of this project is to develop a deep learning (DL)-based method to segment and locate the spinal nerve
Expand Down Expand Up @@ -63,6 +67,8 @@ will be numbered as D1, D2, etc., and the models as M1, M2, etc.
| D1b (nnUNet 006) | 18 | 22.9 | 1.21 | Binary | Prediction + Manual review | 0.52~0.6 | [D1b.tsv](dataset_creation/D1b.tsv) |
| D2 (nnUNet 007) | 36 (20 from D0b + D1b) + 2 test images | 26.2 | 5.2 | Binary | Prediction + Manual review | 0.65~0.75 | [D2.tsv](dataset_creation/D2.tsv) |
| D3 (nnUNet 008-9) | 31 + 2 test images | 26.5 | 5.5 | Level specific | Value modification | 0.4~0.6 | [D3.tsv](dataset_creation/D3.tsv) |
| D4 (nnUNet 011) | 33 + 5 test images | | | Level specific | Prediction + Manual review | | [D4.tsv](dataset_creation/D4.tsv) |
| D5 (nnUNet 012) | 31 + 5 test images | | | Level specific | Prediction + Manual review | | [D5.tsv](dataset_creation/D5.tsv) |

<details>
<summary>Details</summary>
Expand Down Expand Up @@ -128,6 +134,25 @@ exceeding 0.5 compared to the first training conducted with 1000 epochs.

> Refer to [issue#8 part 3)](https://github.com/ivadomed/model-spinal-rootlets/issues/8).

#### D4)

Five images used for [inter-rater variability](https://github.com/ivadomed/model-spinal-rootlets/issues/17)
(`sub-007_ses-headNormal_T2w.nii.gz`, `sub-010_ses-headUp_T2w.nii.gz`, `sub-amu02_T2w.nii.gz`, `sub-barcelona01_T2w.nii.gz`,
`sub-brnoUhb03_T2w.nii.gz`) were moved from the training dataset to the test dataset.
The D3 model was applied to five new randomly chosen images from the spine-generic dataset (`sub-mgh01_T2w.nii.gz`, `sub-mgh02_T2w.nii.gz`,
`sub-stanford02_T2w.nii.gz`, `sub-stanford05_T2w.nii.gz`, `sub-ucdavis03_T2w.nii.gz`), the images were QCed, manually
corrected and added to the training dataset.
The D4 training dataset comprises 33 images, and the test dataset comprises 5 images. For details, see [D4.tsv](dataset_creation/D4.tsv).

#### D5)

During M4 training using D4 dataset, I noticed `0` and `nan` dice for some levels --> I checked all the D4 labels and
found that some labels were wrong (some labels contained values `1` (probably legacy from binary levels) and some levels
were mislabeled) --> I corrected the labels. Also, I made sure that the labels contains only levels 2 to 8 (we do not
have enough subjects with levels >9). Also, I removed `sub-004_ses-headUp` (difficult to label) and `sub-008_ses-headUp`
(wrong FOV covering only C1-C4). The final dataset is called D5.
The D5 training dataset comprises 31 images, and the test dataset comprises 5 images. For details, see [D5.tsv](dataset_creation/D5.tsv).

</details>

### C) Reproduce
Expand Down Expand Up @@ -330,13 +355,44 @@ sub-011_ses-headUp_T2w.nii.gz

</details>

This dataset D3 composed of 33 images with 31 for train .
I have trained 4 folds of a nnUNet 3d_fullres model for 2000
epochs `CUDA_VISIBLE_DEVICES=XXX nnUNetv2_train DATASETID -tr nnUNetTrainer_2000epochs -f 0`
The dataset D3 composed of 33 images with 31 for train.
I have trained 5 folds of a nnUNet 3d_fullres model for 2000 epochs:

```
CUDA_VISIBLE_DEVICES=XXX nnUNetv2_train DATASETID -tr nnUNetTrainer_2000epochs -f 0
```

nnUNet Dice score from `progress.png` was between 0.4 and 0.6.

#### iv) Get our dataset
#### iv) Reproduce D4, M4

The dataset D4 composed of 38 images with 33 for train.
I have trained 5 folds of a nnUNet 3d_fullres model for 2000 epochs:

```
nnUNetv2_plan_and_preprocess -d 011 --verify_dataset_integrity -c 3d_fullres
CUDA_VISIBLE_DEVICES=1 nnUNetv2_train 011 3d_fullres 0 -tr nnUNetTrainer_2000epochs
CUDA_VISIBLE_DEVICES=2 nnUNetv2_train 011 3d_fullres 1 -tr nnUNetTrainer_2000epochs
CUDA_VISIBLE_DEVICES=3 nnUNetv2_train 011 3d_fullres 2 -tr nnUNetTrainer_2000epochs
CUDA_VISIBLE_DEVICES=1 nnUNetv2_train 011 3d_fullres 3 -tr nnUNetTrainer_2000epochs
CUDA_VISIBLE_DEVICES=2 nnUNetv2_train 011 3d_fullres 4 -tr nnUNetTrainer_2000epochs
```

#### v) Reproduce D5, M5

The dataset D5 composed of 36 images with 31 for train.
I have trained 5 folds of a nnUNet 3d_fullres model for 2000 epochs:

```
nnUNetv2_plan_and_preprocess -d 012 --verify_dataset_integrity -c 3d_fullres
CUDA_VISIBLE_DEVICES=1 nnUNetv2_train 012 3d_fullres 0 -tr nnUNetTrainer_2000epochs
CUDA_VISIBLE_DEVICES=2 nnUNetv2_train 012 3d_fullres 1 -tr nnUNetTrainer_2000epochs
CUDA_VISIBLE_DEVICES=3 nnUNetv2_train 012 3d_fullres 2 -tr nnUNetTrainer_2000epochs
CUDA_VISIBLE_DEVICES=1 nnUNetv2_train 012 3d_fullres 3 -tr nnUNetTrainer_2000epochs
CUDA_VISIBLE_DEVICES=2 nnUNetv2_train 012 3d_fullres 4 -tr nnUNetTrainer_2000epochs
```

For resulting Dice, see https://github.com/ivadomed/model-spinal-rootlets/pull/23#issuecomment-1843240432

#Link to dataset D1b, D2, D3 already done, make one release per dataset ?

Expand Down
47 changes: 47 additions & 0 deletions training/check_voxels.py
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"""
This script opens a NIfTI image, finds the coordinates of voxels with a specified value,
and prints the voxel coordinates along with the maximum and minimum values in the image.

Usage:
python script.py <nii_image_path>

Jan Valosek
"""

import nibabel as nib
import numpy as np

def find_coordinates_with_value(image_path, target_value=1):
# Load NIfTI image
img = nib.load(image_path)

# Get image data as a NumPy array
data = img.get_fdata()

# Find voxel coordinates with the specified value
coordinates = np.argwhere(data == target_value)

# Get max and min values in the image
max_value = np.max(data)
min_value = np.min(data)

return coordinates, max_value, min_value

if __name__ == "__main__":
import sys

# Check if the input argument is provided
if len(sys.argv) != 2:
print("Usage: python script.py <nii_image_path>")
sys.exit(1)

# Get the NIfTI image path from the command line arguments
nii_image_path = sys.argv[1]

# Find coordinates with value 1 and max/min values in the NIfTI image
voxel_coordinates, max_value, min_value = find_coordinates_with_value(nii_image_path)

# Print the result
print(f"Voxel coordinates with value 1 in {nii_image_path}:\n{voxel_coordinates}")
print(f"Max value in the image: {max_value}")
print(f"Min value in the image: {min_value}")
39 changes: 39 additions & 0 deletions training/dataset_creation/D4.tsv
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file_name folder sex age resolution (mm) neck_flexion height weight date_of_scan institution_id institution manufacturer manufacturers_model_name receive_coil_name software_versions researcher pathology notes
sub-amu01_T2w.nii.gz train M 28 0.8 N 176.0 70.0 12/02/2019 amu AMU - CEMEREM Siemens Verio NeckMatrix syngo_MR_B17 Virginie Callot HC
sub-amu05_T2w.nii.gz train F 39 0.8 N 175.0 66.0 01/03/2019 amu AMU - CEMEREM Siemens Verio NeckMatrix syngo_MR_B17 Virginie Callot HC disc protrusion C4/5/6 and mild kyphosis
sub-balgrist01_T2w.nii.gz train F 31 0.8 N 158.0 60.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC Mild kyphosis
sub-balgrist02_T2w.nii.gz train F 22 0.8 N 170.0 72.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC Mild kyphosis
sub-balgrist03_T2w.nii.gz train F 23 0.8 N 175.0 85.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC disc protrusion C3/4 and mild kyphosis
sub-balgrist04_T2w.nii.gz train M 28 0.8 N 195.0 90.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC
sub-balgrist06_T2w.nii.gz train M 23 0.8 N 170.0 64.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC visualised spinal canal C5-Th1
sub-barcelona02_T2w.nii.gz train M 38 0.8 N 190.0 95.0 23/11/2018 barcelona Advanced Imaging in Neuroimmunological Diseases (ImaginEM) group Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 Martinez-Heras E, Solana E, Llufriu S MildCompression mild spinal cord compression due to C4-6 disc protrusions
sub-barcelona03_T2w.nii.gz train M 39 0.8 N 185.0 85.0 23/11/2018 barcelona Advanced Imaging in Neuroimmunological Diseases (ImaginEM) group Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 Martinez-Heras E, Solana E, Llufriu S MildCompression mild spinal cord compression due to C4/5 disc hernia
sub-barcelona06_T2w.nii.gz train F 25 0.8 N 170.0 55.0 30/11/2018 barcelona Advanced Imaging in Neuroimmunological Diseases (ImaginEM) group Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 Martinez-Heras E, Solana E, Llufriu S HC disc protrusions C4-7 and Th4-6
sub-brnoUhb01_T2w.nii.gz train M 21 0.8 N 180.0 90.0 13/02/2019 brnoUhb The University Hospital Brno, Department of Radiology and Nuclear Medicine, Czech Republic GE Signa-PETMR MP24 Marek Dostal, Milo Kekovsk HC disc protrusions C4-7
sub-cardiff02_T2w.nii.gz train F 34 0.8 N 172.0 54.0 05/03/2019 cardiff CUBRIC, Cardiff University, Wales, UK Siemens Prisma HeadNeck_64 VE11C G. Tackley, S. Kusmia, R. Wise HC disc protrusion Th2/3
sub-cardiff04_T2w.nii.gz train F 31 0.8 N 170.0 58.0 12/03/2019 cardiff CUBRIC, Cardiff University, Wales, UK Siemens Prisma HeadNeck_64 VE11C G. Tackley, S. Kusmia, R. Wise HC disc protrusion C3-7 and Th2-4
sub-cmrra02_T2w.nii.gz train M 27 0.8 N 188.0 91.0 01/03/2019 cmrra University of Minnesota Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 R. Labounek, J. Joers, C. Nguyen, I. Nestrasil, C. Lenglet, P-G. Henry HC disc protrusions C4-7
sub-cmrra04_T2w.nii.gz train F 22 0.8 N 163.0 54.0 18/03/2019 cmrra University of Minnesota Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 R. Labounek, J. Joers, C. Nguyen, I. Nestrasil, C. Lenglet, P-G. Henry HC disc protrusion and kyphosis at C3/4
sub-geneva01_T2w.nii.gz train M 29 0.8 N 189.0 69.0 21/02/2019 geneva Campus Biotech Geneva Siemens Prisma 64ch+spine VE11C K. Kinany, L. Mattera HC Chondrosis and disc protrusions C3-7
sub-mgh01_T2w.nii.gz train F 28 0.8 N 173 73 2019-01-01 mgh Massachusetts General Hospital Siemens Skyra 64ch+spine VE11C R. L. Barry HC disc protrusions C3-6
sub-mgh02_T2w.nii.gz train F 33 0.8 N 155 41 2019-01-01 mgh Massachusetts General Hospital Siemens Skyra 64ch+spine VE11C R. L. Barry HC disc protrusion C5/6
sub-stanford02_T2w.nii.gz train F 39 0.8 N 163 54 2018-02-22 stanford Stanford University GE MR750 16ch neurovascular DV26.0_R01 C. S. Law, K. A. Weber II, S. Mackey, K. R. Epperson, K. S Epperson HC n/a
sub-stanford05_T2w.nii.gz train M 19 0.8 N 178 59 2018-02-24 stanford Stanford University GE MR750 16ch neurovascular DV26.0_R01 C. S. Law, K. A. Weber II, S. Mackey, K. R. Epperson, K. S Epperson HC Disc protrusion C3/4
sub-ucdavis03_T2w.nii.gz train M 41 0.8 N 179 82 n/a ucdavis UC Davis Health, California, US Siemens Vida HeadNeck_64 syngo MR XA20 Allan R. Martin HC Mild disc protrusions C3-7
sub-brnoUhb03_T2w.nii.gz test F 26 0.8 N 163.0 56.0 13/02/2019 brnoUhb The University Hospital Brno, Department of Radiology and Nuclear Medicine, Czech Republic GE Signa-PETMR MP24 Marek Dostal, Milo Kekovsk HC disc protrusions C4-7
sub-amu02_T2w.nii.gz test M 28 0.8 N 183.0 67.0 13/02/2019 amu AMU - CEMEREM Siemens Verio NeckMatrix syngo_MR_B17 Virginie Callot HC disc protrusion Th2/3, visualised central canal
sub-barcelona01_T2w.nii.gz test M 36 0.8 N 170.0 70.0 16/10/2018 barcelona Advanced Imaging in Neuroimmunological Diseases (ImaginEM) group Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 Martinez-Heras E, Solana E, Llufriu S MildCompression mild spinal cord compression due to C4/5 disc protrusion
sub-002_ses-headNormal_T2w.nii.gz train F 22 0.6 N
sub-003_ses-headNormal_T2w.nii.gz train M 22 0.6 N
sub-003_ses-headUp_T2w.nii.gz train M 22 0.6 U
sub-004_ses-headNormal_T2w.nii.gz train F 23 0.6 N
sub-004_ses-headUp_T2w.nii.gz train F 23 0.6 U
sub-005_ses-headNormal_T2w.nii.gz train M 22 0.6 N
sub-005_ses-headUp_T2w.nii.gz train M 22 0.6 U
sub-007_ses-headUp_T2w.nii.gz train M 23 0.6 U
sub-008_ses-headUp_T2w.nii.gz train M 26 0.6 U
sub-010_ses-headNormal_T2w.nii.gz train M 23 0.6 N
sub-011_ses-headNormal_T2w.nii.gz train M 23 0.6 N
sub-011_ses-headUp_T2w.nii.gz train M 23 0.6 U
sub-007_ses-headNormal_T2w.nii.gz test M 23 0.6 N
sub-010_ses-headUp_T2w.nii.gz test M 23 0.6 U
37 changes: 37 additions & 0 deletions training/dataset_creation/D5.tsv
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file_name folder sex age resolution (mm) neck_flexion height weight date_of_scan institution_id institution manufacturer manufacturers_model_name receive_coil_name software_versions researcher pathology notes
sub-amu01_T2w.nii.gz train M 28 0.8 N 176.0 70.0 12/02/2019 amu AMU - CEMEREM Siemens Verio NeckMatrix syngo_MR_B17 Virginie Callot HC
sub-amu05_T2w.nii.gz train F 39 0.8 N 175.0 66.0 01/03/2019 amu AMU - CEMEREM Siemens Verio NeckMatrix syngo_MR_B17 Virginie Callot HC disc protrusion C4/5/6 and mild kyphosis
sub-balgrist01_T2w.nii.gz train F 31 0.8 N 158.0 60.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC Mild kyphosis
sub-balgrist02_T2w.nii.gz train F 22 0.8 N 170.0 72.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC Mild kyphosis
sub-balgrist03_T2w.nii.gz train F 23 0.8 N 175.0 85.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC disc protrusion C3/4 and mild kyphosis
sub-balgrist04_T2w.nii.gz train M 28 0.8 N 195.0 90.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC
sub-balgrist06_T2w.nii.gz train M 23 0.8 N 170.0 64.0 balgrist Spinal Cord Injury Center University Balgrist Clinic Siemens Prisma HeadNeck_64 VE11C M. Seif, P. Freund HC visualised spinal canal C5-Th1
sub-barcelona02_T2w.nii.gz train M 38 0.8 N 190.0 95.0 23/11/2018 barcelona Advanced Imaging in Neuroimmunological Diseases (ImaginEM) group Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 Martinez-Heras E, Solana E, Llufriu S MildCompression mild spinal cord compression due to C4-6 disc protrusions
sub-barcelona03_T2w.nii.gz train M 39 0.8 N 185.0 85.0 23/11/2018 barcelona Advanced Imaging in Neuroimmunological Diseases (ImaginEM) group Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 Martinez-Heras E, Solana E, Llufriu S MildCompression mild spinal cord compression due to C4/5 disc hernia
sub-barcelona06_T2w.nii.gz train F 25 0.8 N 170.0 55.0 30/11/2018 barcelona Advanced Imaging in Neuroimmunological Diseases (ImaginEM) group Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 Martinez-Heras E, Solana E, Llufriu S HC disc protrusions C4-7 and Th4-6
sub-brnoUhb01_T2w.nii.gz train M 21 0.8 N 180.0 90.0 13/02/2019 brnoUhb The University Hospital Brno, Department of Radiology and Nuclear Medicine, Czech Republic GE Signa-PETMR MP24 Marek Dostal, Milo Kekovsk HC disc protrusions C4-7
sub-cardiff02_T2w.nii.gz train F 34 0.8 N 172.0 54.0 05/03/2019 cardiff CUBRIC, Cardiff University, Wales, UK Siemens Prisma HeadNeck_64 VE11C G. Tackley, S. Kusmia, R. Wise HC disc protrusion Th2/3
sub-cardiff04_T2w.nii.gz train F 31 0.8 N 170.0 58.0 12/03/2019 cardiff CUBRIC, Cardiff University, Wales, UK Siemens Prisma HeadNeck_64 VE11C G. Tackley, S. Kusmia, R. Wise HC disc protrusion C3-7 and Th2-4
sub-cmrra02_T2w.nii.gz train M 27 0.8 N 188.0 91.0 01/03/2019 cmrra University of Minnesota Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 R. Labounek, J. Joers, C. Nguyen, I. Nestrasil, C. Lenglet, P-G. Henry HC disc protrusions C4-7
sub-cmrra04_T2w.nii.gz train F 22 0.8 N 163.0 54.0 18/03/2019 cmrra University of Minnesota Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 R. Labounek, J. Joers, C. Nguyen, I. Nestrasil, C. Lenglet, P-G. Henry HC disc protrusion and kyphosis at C3/4
sub-geneva01_T2w.nii.gz train M 29 0.8 N 189.0 69.0 21/02/2019 geneva Campus Biotech Geneva Siemens Prisma 64ch+spine VE11C K. Kinany, L. Mattera HC Chondrosis and disc protrusions C3-7
sub-mgh01_T2w.nii.gz train F 28 0.8 N 173 73 2019-01-01 mgh Massachusetts General Hospital Siemens Skyra 64ch+spine VE11C R. L. Barry HC disc protrusions C3-6
sub-mgh02_T2w.nii.gz train F 33 0.8 N 155 41 2019-01-01 mgh Massachusetts General Hospital Siemens Skyra 64ch+spine VE11C R. L. Barry HC disc protrusion C5/6
sub-stanford02_T2w.nii.gz train F 39 0.8 N 163 54 2018-02-22 stanford Stanford University GE MR750 16ch neurovascular DV26.0_R01 C. S. Law, K. A. Weber II, S. Mackey, K. R. Epperson, K. S Epperson HC n/a
sub-stanford05_T2w.nii.gz train M 19 0.8 N 178 59 2018-02-24 stanford Stanford University GE MR750 16ch neurovascular DV26.0_R01 C. S. Law, K. A. Weber II, S. Mackey, K. R. Epperson, K. S Epperson HC Disc protrusion C3/4
sub-ucdavis03_T2w.nii.gz train M 41 0.8 N 179 82 n/a ucdavis UC Davis Health, California, US Siemens Vida HeadNeck_64 syngo MR XA20 Allan R. Martin HC Mild disc protrusions C3-7
sub-brnoUhb03_T2w.nii.gz test F 26 0.8 N 163.0 56.0 13/02/2019 brnoUhb The University Hospital Brno, Department of Radiology and Nuclear Medicine, Czech Republic GE Signa-PETMR MP24 Marek Dostal, Milo Kekovsk HC disc protrusions C4-7
sub-amu02_T2w.nii.gz test M 28 0.8 N 183.0 67.0 13/02/2019 amu AMU - CEMEREM Siemens Verio NeckMatrix syngo_MR_B17 Virginie Callot HC disc protrusion Th2/3, visualised central canal
sub-barcelona01_T2w.nii.gz test M 36 0.8 N 170.0 70.0 16/10/2018 barcelona Advanced Imaging in Neuroimmunological Diseases (ImaginEM) group Siemens Prisma-fit HeadNeck_64 syngo_MR_E11 Martinez-Heras E, Solana E, Llufriu S MildCompression mild spinal cord compression due to C4/5 disc protrusion
sub-002_ses-headNormal_T2w.nii.gz train F 22 0.6 N
sub-003_ses-headNormal_T2w.nii.gz train M 22 0.6 N
sub-003_ses-headUp_T2w.nii.gz train M 22 0.6 U
sub-004_ses-headNormal_T2w.nii.gz train F 23 0.6 N
sub-005_ses-headNormal_T2w.nii.gz train M 22 0.6 N
sub-005_ses-headUp_T2w.nii.gz train M 22 0.6 U
sub-007_ses-headUp_T2w.nii.gz train M 23 0.6 U
sub-010_ses-headNormal_T2w.nii.gz train M 23 0.6 N
sub-011_ses-headNormal_T2w.nii.gz train M 23 0.6 N
sub-011_ses-headUp_T2w.nii.gz train M 23 0.6 U
sub-007_ses-headNormal_T2w.nii.gz test M 23 0.6 N
sub-010_ses-headUp_T2w.nii.gz test M 23 0.6 U
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