Dataset
A multi-center, multi-parametric MRI dataset of primary and secondary brain tumors
- 1Department of Neurosurgery, Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China
- 2Department of Neurosurgery, Technical University of Munich, School of Medicine, Klinikum rechts der Isar, Munich, Germany
- 3Department of Neurosurgery, Changzheng Hospital, Naval Medical University, Shanghai, China
- 4Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- 5Department of Spine Surgery, Orthopedics Center of Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
- 6PET/CT center, the First Affiliated Hospital of Xi'an Jiaotong University, China
- 7Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, TUM, Germany
- 8Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA
DOI: 10.12751/g-node.tvzqc5 BROWSE REPOSITORY BROWSE ARCHIVE DOWNLOAD ARCHIVE (ZIP 939 MiB)
Published 30 Apr. 2024 | License Creative Commons Attribution 4.0 International Public License
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.
Keywords
| Neuroimaging | Secondary Brain Tumor | Machine Learning |References
- Zhenyu Gong, Tao Xu, Nan Peng, Xing Cheng, Chen Niu, Benedikt Wiestler, Fan Hong A, and Hongwei Bran Li (2024), A multi-center, multi-parametric MRI dataset of primary and secondary brain tumors. Scientific Data, under review.