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基于轮的患者间可变形注册,用于更可靠的基于声素的头癌患者的分析

Xingyue Ruan^1,2, Xia Li^1,3, Muheng Li^1,4

¹Center for Proton Therapy, Paul Scherrer Institute, Villigen-PSI, Switzerland.

Physics and imaging in radiation oncology

|January 16, 2026

概括

使用轮信息的增强可变形图像记录 (DIR) 提高了头癌放射治疗的准确性. 该方法改进了空间对齐,以便在基于voxel的分析 (VBA) 中更好地评估剂量反应.

科学领域:

医疗成像医学成像
放射治疗物理物理
计算解剖学的计算解剖学

背景情况:

精确的可变形图像注册 (DIR) 对于放射治疗中的基于声素的分析 (VBA) 是至关重要的.
针对患者之间的解剖学变异性对于可靠的剂量反应评估至关重要.
现有的DIR方法需要改进,以改善全球和特定区域的调整.

研究的目的:

通过结合轮信息规范化来提高内部DIR算法的准确性 (CPT-DIR).
在医学图像中增强全球和特定区域的解剖学对齐.
为了验证轮信息约束在改善放射治疗应用的DIR性能方面的有效性.

主要方法:

通过使用37名头部和部患者的CT图像进行轮信息规范化,增强了CPT-DIR算法.
有风险的器官 (OAR) 被手动划分,骨轮是自动生成的.
整合了基于轮的约束 (子相似性),以提高临床相关区域的注册准确性,与B-spline方法进行了基准测试.

主要成果:

CPT-DIR显示出卓越的准确性,平均绝对误差 (MAE) 为98.9 ± 6.3 HU,而B-spline的179.1 ± 17.8 HU.
纳入脑干轮显著改善了子相似系数 (DSC) 从0.604 ± 0.116到0.878 ± 0.017和剂量-器官重叠 (DOO) 从0.430 ± 0.117到0.753 ± 0.043.
增强的CPT-DIR在所有评估的OAR中始终实现了更高的DSC和DOO指标.

结论:

将轮信息调整集成到CPT-DIR中,可以显著提高DIR的准确性,特别是在关键的解剖和剂量测量区域.
增强的空间对齐有助于在头部 (HN) 放射治疗中进行更可靠的患者间剂量测量研究.
这种方法具有很大的潜力,可以在临床实践中推进基于声素的分析 (VBA) 和剂量反应评估.

关键词:

基于轮的优化优化可变形图像的注册方式隐含的神经表现隐含的神经表现特定区域的限制特定区域的限制基于Voxel的分析.

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