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@@ -10,11 +10,14 @@ We introduce a multi-center, multi-origin brain tumor MRI (MOTUM) imaging datase
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## Data Organization
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-Multi-contrast MRI data from individuals are stored with the [BIDS](https://bids.neuroimaging.io/) format. For example,
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+Multi-contrast MRI, segmentation masks, radiomics features and the acquisition parameters from individuals are stored with the following format. For example,
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-`./sub-0001/anat/` stores four imaging sequences of Subject 0001 including FLAIR, T1, T2, T1-contrast are stored.
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+`./sub-0001/anat/` stores four imaging sequences of Subject 0001 including FLAIR (`sub-0001_flair.nii.gz`), T1 (`sub-0001_t1.nii.gz`), T2 (`sub-0001_t2.nii.gz`), T1-contrast (`sub-0001_t1ce.nii.gz`) are stored.
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`./derivatives/` stores the segmentation masks, radiomics, and meta information of four modalities of all subjects.
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+Specifically, for **Subject 0001**, `./derivatives/sub-0001` stores two segmentation masks (`flair_seg_label1.nii.gz` and ` t1ce_seg_label2.nii.gz` derived from FLAIR and T1-ce, respectively), radiomics features (`flair_radiomics.csv`, `t1_radiomics.csv`, `t2_radiomics.csv`, `t1ce_radiomics.csv`) and meta information (`flair_param.json`, `t1_param.json`, `t2_param.json`, and `t1ce_param.json`).
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`./Participants.xlsx` stores the meta information of each subject.
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