在四个计算机断层扫描成像工作流中评估质子停止功率比图像的准确性和工件,使用一个头大小的电子密度幻影
Erik Pettersson1,2, Anne Thilander Klang1,3, Callum Gillies4
1Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, SE-413 45 Gothenburg, Sweden.
Radiation protection dosimetry
|March 13, 2026
概括
双能CT (DECT) 工作流程,特别是基于材料密度的SPR (MD-SPR) 模型,与单能CT相比,在质子疗法规划中显著降低了制止功率比率 (SPR) 预测的不确定性和图像工件.
科学领域:
- 医学物理 医学物理
- 辐射疗法 辐射疗法
- 图像分析 图像分析
背景情况:
- 质子束疗法 (PBT) 的有效性受到患者组织内预测停止功率比率 (SPR) 的不确定性所阻碍.
- 准确的SPR预测对于PBT中精确的剂量沉积至关重要.
研究的目的:
- 为了比较PBT的不同计算机断层扫描 (CT) 工作流程的图像文物和SPR预测准确性.
- 将单能CT (SECT) 与三种双能CT (DECT) 方法进行评估.
主要方法:
- 将SECT与Hounsfield查找表 (HLUT) 与两个商业DECT算法 (DirectSPR,MMSim) 和内部MD-SPR模型进行了比较.
- 评估了SPR预测准确度和图像工件,使用带有各种材料插入的幻影.
主要成果:
- 在DECT工作流程中,对于组织代用物和非组织材料,SPR预测准确度比SECT-HLUT更好.
- MD-SPR模型表现出特别低的根-平方均值SPR差异 (0.005对于组织代用物,0.011对于非组织材料).
- 与SECT-HLUT相比,DECT工作流通常会产生较少的图像工件.
结论:
- 基于DECT的SPR预测工作流程,特别是MD-SPR模型,提供了更高的准确性和更少的工件.
- 这些先进的DECT方法可能会在质子束治疗中最大限度地降低范围的不确定性.
- 与传统的SECT相比,DECT在PBT治疗计划方面取得了显著的进步.
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