SynthRAD2023大挑战数据集:为放射治疗生成合成CT
Adrian Thummerer1, Erik van der Bijl2, Arthur Galapon1
1Department, of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.
Medical physics
|June 7, 2023
概括
现在可以获得540名放射治疗患者的大脑和骨盆成像 (CT,CBCT,MRI) 的新数据集. 本资源支持合成计算机断层扫描 (sCT) 技术的开发和评估,以改善癌症治疗规划.
科学领域:
- 医疗成像医学成像
- 辐射疗法 辐射疗法
- 计算成像技术的成像
背景情况:
- 医学成像对于癌症的诊断和治疗至关重要,特别是在放射治疗中.
- 合成计算机断层扫描 (sCT) 生成是提高放射治疗规划的兴趣新兴领域.
- 需要公开的数据集和标准化的评估指标来比较sCT生成方法.
研究的目的:
- 为开发和评估sCT生成算法,引入一套综合多模式医疗图像数据集.
- 为了促进开放的研究和不同sCT生成技术在放射治疗的比较.
主要方法:
- 数据集包括540名脑和540名骨盆放射治疗患者的计算机断层扫描 (CT),圆光束CT (CBCT) 和磁共振成像 (MRI).
- 数据来自荷兰三个大学医学中心,涵盖了广泛的年龄范围 (3-93岁) 和各种扫描仪模型/设置.
- 图像以nifti格式提供,可以通过Zenodo在SynthRAD2023集合中访问.
主要成果:
- 该数据集提供了严格注册的CT,CBCT和MRI数据.
- 它包括有关患者人口统计和获取参数的详细信息.
- 这些数据是公开可用的,用于研究目的.
结论:
- 这种多中心数据集能够对放射治疗的图像合成算法进行强有力的评估和开发.
- 它解决了对现实的,多样化的数据的需求,以推进合成CT生成.
- 应用包括改善诊断,治疗规划,监测和放射治疗中的手术规划.
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