license:mit region:us
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license: mit
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# Dataset Card for mpMRI derived tumor segmentations and FET-PET Imaging Dataset

## Dataset Description

This dataset originates from an analysis of real patient data aimed at enhancing glioma treatment planning. It includes data for 152 patients from the mpMRI imaging database at Klinikum Rechts Der Isar, with 58 of these patients also undergoing FET-PET imaging. The dataset encompasses crucial imaging data at two timepoints: before surgery and during a follow-up visit post-treatment.

### Source and Curation

- **Database Source:** Klinikum Rechts Der Isar

## Intended Use

This dataset is intended for use in medical physics research, particularly in optimizing glioma radiotherapy planning through data and physics-informed discrete loss analysis. It is designed to support the development of personalized treatment strategies in oncology.

## Dataset Structure

- **Data Type:** Imaging (mpMRI derived tumor segmentations, FET-PET)
- **Timepoints:** Pre-surgery and post-treatment follow-up

## Citation

In publications using GliODIL or data released with this framework pleace cite:
1. Balcerak, M., Weidner, J., Karnakov, P., Ezhov, I., Litvinov, S., Koumoutsakos, P., Zhang, R. Z., Lowengrub, J. S., Wiestler, B., & Menze, B. (2024). Individualizing Glioma Radiotherapy Planning by Optimization of Data and Physics-Informed Discrete Loss. arXiv preprint arXiv:2312.05063.