motum

MOTUM Dataset

This is a public dataset presented at our manuscript titled "A Multi-Center, Multi-Parametric MRI Dataset of Primary and Secondary Brain Tumors" under review in Scientific Data

Description

We introduce a multi-center, multi-origin brain tumor MRI (MOTUM) imaging dataset obtained from 67 patients: 29 with high-grade gliomas, 20 with lung metastases, 10 with breast metastases, 2 with gastric metastasis, 4 with ovarian metastasis, and 2 with melanoma metastasis. This dataset includes anonymized digital imaging and communications in medicine (DICOM) files alongside processed FLAIR, T1-weighted, contrast-enhanced T1-weighted, T2-weighted sequences images, segmentation masks of two tumor regions, and clinical data. Our data-sharing initiative is to support the benchmarking of automated tumor segmentation, multi-modal machine learning, and disease differentiation of multi-origin brain tumors in a multi-center setting.

Data Organization

Multi-contrast MRI data from individuals are stored with the BIDS format. For example,

./sub-0001/anat/ stores four imaging sequences of Subject 0001 including FLAIR, T1, T2, T1-contrast are stored.

./derivatives/ stores the segmentation masks, radiomics, and meta information of four modalities of all subjects.

./Participants.xlsx stores the meta information of each subject.