基于蒙特卡罗方法的仿真代码在放射治疗中的应用

Iury Mergen Knoll, A. Quevedo, M. Salomón Alva Sánchez
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引用次数: 1

摘要

蒙特卡罗模拟已被应用于确定和研究实验测量中面临挑战的不同参数,因为它能够以概率分布模拟辐射输运,与带电电子相互作用,在某些情况下与来自任意材料的原子核相互作用,这种粒子轨迹或历史可以执行物理量,提供来自研究或调查量的数据。为此,提出了基于蒙特卡罗的仿真代码。目前可用的代码有MNCP, EGSnrc, Geant, FLUKA, PENELOPE,以及GAMOS和TOPAS。这些模拟代码基本上已经成为剂量和剂量分布的工具,但也用于其他应用,如临床设计,加速器线性调试工具,屏蔽,辐射防护,某些放射生物学方面,治疗计划系统,从模拟场景结果预测数据。在本章中,将介绍一些放疗程序的应用,特别是,在具有均匀和解剖幻象的情况下,通过PENELOPE和TOPAS代码来确定剂量,剂量分布以及剂量学参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Applications of simulation codes based on Monte Carlo method for Radiotherapy
Monte Carlo simulations have been applied to determine and study different parameters that are challenged in experimental measurements, due to its capability in simulating the radiation transport with a probability distribution to interact with electrosferic electrons and some cases with the nucleus from an arbitrary material, which such particle track or history can carry out physical quantities providing data from a studied or investigating quantities. For this reason, simulation codes, based on Monte Carlo, have been proposed. The codes currently available are MNCP, EGSnrc, Geant, FLUKA, PENELOPE, as well as GAMOS and TOPAS. These simulation codes have become a tool for dose and dose distributions, essentially, but also for other applications such as design clinical, tool for commissioning of an accelerator linear, shielding, radiation protection, some radiobiologic aspect, treatment planning systems, prediction of data from results of simulation scenarios. In this chapter will be present some applications for radiotherapy procedures with use, specifically, megavoltage x-rays and electrons beams, in scenarios with homogeneous and anatomical phantoms for determining dose, dose distribution, as well dosimetric parameters through the PENELOPE and TOPAS code.
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