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使用双能CT基础材料分解的质子停止功率比率的预测

Erik Pettersson^1,2, Anne Thilander-Klang^1,3, Anna Bäck^1,2

¹Department of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Medical physics

|January 9, 2024

概括

这项研究引入了一种使用双能CT材料密度图像来预测质子停止功率比率的新方法,提高了放射治疗规划的准确性. 新的MD-SPR模型显示了更好的范围不确定性降低的潜力,特别是对于非组织材料.

科学领域:

医学物理医学物理
辐射疗法辐射疗法
图像处理图像处理

背景情况:

质子辐射疗法范围的不确定性是通过使用单能CT的停止功率比 (SPR) 预测准确度而受到限制的.
多能CT (MECT) 可以减轻植入物和组织变化的不确定性.
之前的MECT方法没有使用基质密度 (MD) 图像进行SPR预测.

研究的目的:

开发和评估一种使用双能CT (DECT) 衍生MD图像的新型质子SPR预测方法.
目标是减少质子放射治疗中的范围不确定性.

主要方法:

对各种组织和材料进行了基础材料分解为水和密度.
创建了一个模型 (MD-SPR),将MD映射到使用LOWESS配件理论计算的SPR.
用DECT获取的幻影MD图像用于生成SPR图像,并与商业算法 (DirectSPR) 进行比较.

主要成果:

MD-SPR模型显示了类似的SPR预测,以DirectSPR为组织替代品 (在1%的脂肪/骨, -0.7%至 -1.8%的软组织).
对于非组织材料 (PMMA,PEEK,石墨,烯),MD-SPR 实现了更好的SPR预测准确度,在2.8%的范围内,而 DirectSPR 的预测准确度为6.8%.

结论:

MD-SPR模型的性能与人类参考组织的现有方法相提并论.
这种方法对非组织材料的增强SPR预测具有前景,可能提高质子辐射疗法的准确性.

关键词:

剂量计算剂量计算方法双能量CT是双能量CT.质子疗法是一种质子疗法.

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