公开44例脑转移瘤放疗随访影像数据集，支持多模态研究。
RFUDS -- A Brain Metastases Imaging Dataset of Radiotherapy Follow-Up
- 整合CT与MRI影像，完成多模态配准与图像增强。
- 覆盖治疗前及随访期多时间点扫描，含44名患者数据。
- 适合医学影像分析、放射组学及人工智能建模研究者使用。
脑转移瘤是影响20%至40%癌症患者的常见诊断。放疗后，患者需定期随访以监测治疗反应。本研究收集并处理了44例至少存在一个脑转移瘤且原发肿瘤类型不同的患者数据。每位患者接受直线加速器或伽马刀治疗。在不同时间点采集头部CT和MRI扫描，包括治疗前及随访阶段。对CT数据采用窗宽调整与伪影去除技术，对MRI数据应用CLAHE增强。对应的NifTI格式影像文件已公开。为实现多模态数据对齐，测试了多种软件进行CT与MRI间的配准，并提供融合矩阵。上述流程构建了一个优化的脑转移瘤放疗随访影像数据集，适用于相关研究。该数据集（RFUDS）已通过Zenodo公开，DOI：10.5281/zenodo.14524784。
原文摘要 · Abstract (English)
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.
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