对比 voxel 采样方法用于强度调节的辐射疗法
Danielle Ripsman1, Stoyan Hristov1, Gatik Gola1
1Department of Management Science and Engineering, University of Waterloo, Waterloo, ON, Canada.
Medical physics
|December 4, 2025
概括
基于坐标的k-平均值和定期间隔采样为强度调节放射治疗 (IMRT) 治疗计划提供了可预测的性能. 这项研究评估了各种voxel采样方法,以尽量减少IMRT中的数据丢失和计算复杂性.
科学领域:
- 医学物理 医学物理
- 辐射瘤学 辐射瘤学
- 计算生物学 计算生物学
背景情况:
- 强度调节辐射疗法 (IMRT) 能够实现个性化癌症护理,但在治疗计划复杂性方面面临挑战.
- 像voxel采样这样的低最佳策略用于管理数据细分度,但方法有很大的差异.
- 需要对IMRT治疗计划的不同voxel采样方法进行比较.
研究的目的:
- 评估与IMRT中常见的voxel采样方法相关的相对质量损失.
- 为了比较各种采样技术在减少数据颗粒度方面的性能.
- 为了确定IMRT治疗计划的最佳采样策略.
主要方法:
- 从五种核心方法中得出了八种不同的voxel采样方法.
- 在 MATLAB,C ++ 和 CPLEX 中开发了一个使用多个流动性地图优化模型的比较框架.
- 该框架评估了不同患者数据集的计算复杂性和信息丢失之间的权衡.
主要成果:
- 基于坐标的k-means采样显示了所有评估病例的可预测和稳定的表现.
- 定期间隔采样始终表现良好,显示可预测的信息丢失.
- 基于beamlet和基于剂量矩阵的k-means采样在特定场景中显示出好处,但在运行时间或信息丢失方面存在缺点.
结论:
- 开发的框架有效指导基于IMRT患者数据特征的采样方法的选择.
- 未来的工作可以改进采样方法,并将方法应用扩展到其他辐射处理方式.
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