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jianqingzheng / res_aligner_net

Code for "Residual Aligner-based Network (RAN): Motion-Aware Structure for Coarse-to-fine Discontinuous Deformable Registration" (Medical Image Analysis)
https://jianqingzheng.github.io/res_aligner_net/
Apache License 2.0
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brain MRI images #1

Open mahilaMoghadami opened 1 month ago

mahilaMoghadami commented 1 month ago

Hello thank you for your implementation sharing Its interesting

Can I use your code in my dataset which is brain MRI images (T1, T2 and flair) images with .dicom format? if yes, how?

appreciate your response. thank you

jianqingzheng commented 1 month ago

Hello thank you for your implementation sharing Its interesting

Can I use your code in my dataset which is brain MRI images (T1, T2 and flair) images with .dicom format? if yes, how?

appreciate your response. thank you

Many thanks for your interest.

Because the data format used by this code is .nii or .nii.gz, it would be great if you could convert the DICOM files into NIfTI format, and then organize the data in the following structure:

[$DOWNLOAD_DIR]/res_aligner_net/           
├── data/[$data_name]/dataset
|   |   # experimental dataset for training and testing (.nii|.nii.gz files)
|   ├── train/
|   |   ├── images/
|   |   |   ├──0001.nii.gz
|   |   |   └── ...
|   |   ├── labels/
|   |   |   ├──0001.nii.gz
|   |   |   └── ...
|   ├── test/
|   |   ├── images/
|   |   |   ├──0001.nii.gz
|   |   |   └── ...
|   |   └── labels/
|   |       ├──0001.nii.gz
|   |       └── ...

Afterward, you can directly follow the instructions provided in the README.md file to train and use it.