Monte Carlo calculation of proton stopping power and ranges in water for therapeutic energies

Monte Carlo calculation of proton stopping power and ranges in water for therapeutic energies
复制标题

蒙特卡罗计算质子阻止本领和水中治疗能量的范围

DOI:
10.1051/epjconf/201715401007
复制
发表时间:
2017
影响因子:
--
通讯作者:
A. Bozkurt
A. Bozkurt
中科院分区:
--
文献类型:
--
作者:
A. Bozkurt

文献摘要

被引文献

相似文献

蒙特卡罗是一种统计技术,用于获得物理或数学问题的数值解,这些问题在分析上是不切实际的,如果不是不可能解决的话。对于带电粒子输运问题,它比确定性方法有许多优点,因为这类问题需要对问题几何形状的真实描述,以及对每个源粒子的详细跟踪。因此,MC可以被认为是著名的Bethe-Bloche方程的一个强大的替代方案,在Bethe-Bloche方程中,使用具有各种修正的方程来获得电子,正电子,质子,α等的停止功率和范围。本研究提出了如何利用随机方法(如MC)来获得与带电粒子输运相关的一定数量的实际重要性。形成了水介质的样品模拟几何形状,采用圆盘状薄探测器计算特定距离下的吸收剂量和通量平均值。对于每个探测器单元,利用这些量来评估单能量点源铅笔束质子的范围和停止功率的值以及布拉格曲线的形状。与NIST编译的数据相比,结果发现±2%。可以肯定地说,这种方法可以扩展到确定其他介质、能量和带电粒子类型的剂量学量。
Monte Carlo is a statistical technique for obtaining numerical solutions to physical or mathematical problems that are analytically impractical, if not impossible, to solve. For charged particle transport problems, it presents many advantages over deterministic methods since such problems require a realistic description of the problem geometry, as well as detailed tracking of every source particle. Thus, MC can be considered as a powerful alternative to the well-known Bethe-Bloche equation where an equation with various corrections is used to obtain stopping power and ranges of electrons, positrons, protons, alphas, etc. This study presents how a stochastic method such as MC can be utilized to obtain certain quantities of practical importance related to charged particle transport. Sample simulation geometries were formed for water medium where disk shaped thin detectors were employed to compute average values of absorbed dose and flux at specific distances. For each detector cell, these quantities were utilized to evaluate the values of the range and the stopping power, as well as the shape of Bragg curve, for mono-energetic point source pencil beams of protons. The results were found to be ±2% compared to the data from the NIST compilation. It is safe to conclude that this approach can be extended to determine dosimetric quantities for other media, energies and charged particle types.