董思学,夏晓彬,盛尹祥子.点扫描碳离子束流模型的蒙特卡罗模拟与验证的初步研究[J].中华放射医学与防护杂志,2022,42(6):464-469
点扫描碳离子束流模型的蒙特卡罗模拟与验证的初步研究
Preliminary study on Monte Carlo-based simulation and verification of spot scanning carbon ion beam model
投稿时间:2022-03-01  
DOI:10.3760/cma.j.cn112271-20220301-00069
中文关键词:  蒙特卡罗模拟  点扫描碳离子束流  剂量分布验证
英文关键词:Monte Carlo simulation  Scanning carbon ion beam  Dose distribution verification
基金项目:浦东新区科技发展基金(PKJ2019-Y08)
作者单位E-mail
董思学 中国科学院大学 中国科学院上海应用物理研究所上海 201800  
夏晓彬 中国科学院上海应用物理研究所上海 201800  
盛尹祥子 上海市质子重离子医院 上海市质子重离子放射治疗工程技术研究中心放射物理科 201315 yinxiangzi.sheng@sphic.org.cn 
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中文摘要:
      目的 使用蒙特卡罗程序FLUKA建立点扫描碳离子束流模型并对其进行验证。方法使用FLUKA建立同步加速器碳离子束流治疗头的几何模型,匹配实验测量数据中的单能标称能量、高斯能谱分布、初始束斑大小以及束流的角分布等各项参数;利用治疗计划系统生成碳离子束流治疗计划,通过γ分析比较FLUKA束流模型与治疗计划系统输出的剂量分布差异,验证该模型的准确性。结果 单能碳离子束流的深度剂量分布差异均在0.1 mm之内,束斑大小最大差异为0.17 mm;对于每个靶区,2 mm/2%标准下的2D-与3D-γ通过率均在95%以上。结论 基于蒙特卡罗程序FLUKA实现了点扫描碳离子束流输运过程的精准模拟。该模型能够用于临床治疗计划的模拟验证,并进一步应用于新型粒子治疗设备在开发阶段的模拟以及生物有效剂量的计算。
英文摘要:
      Objective To develop a spot scanning carbon ion beam model based on Monte Carlo code FLUKA and verify the accuracy of physical dose.Methods A geometric model of the treatment nozzle was established in FLUKA. Various parameters such as monoenergy nominal energy, Gaussian energy spectrum distribution, initial spot size, and beam angular distribution in the model were adjusted to match the reference data of integral depth dose (IDD) and in-air spot size measuremed experimentally. Carbon ion beam plans were generated by using the treatment planning system (TPS). The difference in output dose distribution between FLUKA and TPS was compared by the gamma analysis.Results The differences in Bragg peak width, beam range, and distal falloff width extracted from the IDD curve between the FLUKA model and measured vaues were less than 0.1 mm, with the maximum difference in spot sizes of 0.17 mm. Under the criterion of 2 mm/2% in all the simulations, 2D- and 3D-γ pass rates were all above 95%.Conclusions An accurate spot scanning carbon beam model was developed based on the Monte Carlo code FLUKA. It has the potential to be used for not only the verification of clinical treatment plans, but also the development of new ion beam therapy equipment and the calculation of biologically effective dose.
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