Newpower Mark, Schuemann Jan, Mohan Radhe, Paganetti Harald, Titt Uwe
Department of Radiation Physics, MD Anderson Cancer Center, Houston, TX 77030, USA.
Medical Physics Program, University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
Int J Part Ther. 2019 Summer;6(1):18-27. doi: 10.14338/IJPT-18-00043.1. Epub 2019 May 3.
Several Monte Carlo transport codes are available for medical physics users. To ensure confidence in the accuracy of the codes, they must be continually cross-validated. This study provides comparisons between MC and Tool for Particle Simulation (TOPAS) simulations, that is, between medical physics applications for Monte Carlo N-Particle Transport Code (MCNPX) and Geant4.
Monte Carlo simulations were repeated with 2 wrapper codes: TOPAS (based on Geant4) and MC (based on MCNPX). Simulations increased in geometrical complexity from a monoenergetic beam incident on a water phantom, to a monoenergetic beam incident on a water phantom with a bone or tissue slab at various depths, to a spread-out Bragg peak incident on a voxelized computed tomography (CT) geometry. The CT geometry cases consisted of head and neck tissue and lung tissue. The results of the simulations were compared with one another through dose or energy deposition profiles, calculations, and γ-analyses.
Both codes gave very similar results with monoenergetic beams incident on a water phantom. Systematic differences were observed between MC and TOPAS simulations when using a lung or bone slab in a water phantom, particularly in the values, where TOPAS consistently calculated to be deeper by about 0.4%. When comparing the performance of the 2 codes in a CT geometry, the results were still very similar, exemplified by a 3-dimensional γ-analysis pass rate > 95% at the 2%-2-mm criterion for tissues from both head and neck and lung.
Differences between TOPAS and MC were minor and were not considered clinically relevant.
有几种蒙特卡罗传输代码可供医学物理用户使用。为确保对这些代码准确性的信心,必须不断对其进行交叉验证。本研究对蒙特卡罗(MC)模拟和粒子模拟工具(TOPAS)模拟进行了比较,即对蒙特卡罗N粒子传输代码(MCNPX)和Geant4的医学物理应用进行比较。
使用2种包装代码重复进行蒙特卡罗模拟:TOPAS(基于Geant4)和MC(基于MCNPX)。模拟的几何复杂性从单能束入射到水模体,增加到单能束入射到不同深度带有骨或组织平板的水模体,再到入射到体素化计算机断层扫描(CT)几何结构上的扩展布拉格峰。CT几何结构案例包括头颈部组织和肺部组织。通过剂量或能量沉积剖面图、计算结果和γ分析对模拟结果进行相互比较。
对于入射到水模体上的单能束,两种代码给出的结果非常相似。当在水模体中使用肺或骨平板时,MC和TOPAS模拟之间观察到系统差异,特别是在 值方面,TOPAS一致计算得出 深度约深0.4%。在比较两种代码在CT几何结构中的性能时,结果仍然非常相似,例如在头颈部和肺部组织的2%-2-mm标准下,三维γ分析通过率>95%。
TOPAS和MC之间的差异很小,不被认为具有临床相关性。