RFUDS -- A Brain Metastases Imaging Dataset of Radiotherapy Follow-Up

TL;DR

This paper introduces RFUDS, a publicly available multimodal imaging dataset of brain metastases from 44 patients, including processed CT and MRI scans with registration data, to facilitate research in treatment response analysis.

Contribution

The study provides a curated, multimodal brain metastases imaging dataset with processed images and registration data, enabling advanced research in treatment monitoring and analysis.

Findings

Dataset includes CT and MRI scans at multiple time points.

Images are processed with artifact reduction and enhancement techniques.

Registration matrices enable multimodal image alignment.

Abstract

Brain metastases are a common diagnosis that affects between 20% and 40% of cancer patients. Subsequent to radiation therapy, patients with brain metastases undergo follow-up sessions during which the response to treatment is monitored. In this study, a dataset of medical images from 44 patients with at least one brain metastasis and different primary tumor locations was collected and processed. Each patient was treated with either a linear accelerator or a gamma knife. Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) scans were collected at various time points, including before treatment and during follow-up sessions. The CT datasets were processed using windowing and artifact reduction techniques, while the MRI datasets were subjected to CLAHE. The NifTI files corresponding to the CT and MRI images were made public available. In order to align the datasets of each patient, a multimodal registration was performed between the CT and MRI datasets, with different software options being tested. The fusion matrices were provided together with the dataset. The aforementioned steps resulted in the creation of an optimized dataset, prepared for use in a range of studies related to brain metastases. RFUds is publicity available at zenodo under the DOI 10.5281/zenodo.14524784.