Renner Franziska
Physikalisch-Technische Bundesanstalt (PTB), Bundesallee 100, 38116 Braunschweig, Germany.
Z Med Phys. 2016 Sep;26(3):209-23. doi: 10.1016/j.zemedi.2015.06.009. Epub 2015 Oct 1.
Monte Carlo simulations are regarded as the most accurate method of solving complex problems in the field of dosimetry and radiation transport. In (external) radiation therapy they are increasingly used for the calculation of dose distributions during treatment planning. In comparison to other algorithms for the calculation of dose distributions, Monte Carlo methods have the capability of improving the accuracy of dose calculations - especially under complex circumstances (e.g. consideration of inhomogeneities). However, there is a lack of knowledge of how accurate the results of Monte Carlo calculations are on an absolute basis. A practical verification of the calculations can be performed by direct comparison with the results of a benchmark experiment. This work presents such a benchmark experiment and compares its results (with detailed consideration of measurement uncertainty) with the results of Monte Carlo calculations using the well-established Monte Carlo code EGSnrc. The experiment was designed to have parallels to external beam radiation therapy with respect to the type and energy of the radiation, the materials used and the kind of dose measurement. Because the properties of the beam have to be well known in order to compare the results of the experiment and the simulation on an absolute basis, the benchmark experiment was performed using the research electron accelerator of the Physikalisch-Technische Bundesanstalt (PTB), whose beam was accurately characterized in advance. The benchmark experiment and the corresponding Monte Carlo simulations were carried out for two different types of ionization chambers and the results were compared. Considering the uncertainty, which is about 0.7 % for the experimental values and about 1.0 % for the Monte Carlo simulation, the results of the simulation and the experiment coincide.
蒙特卡罗模拟被视为解决剂量测定和辐射传输领域复杂问题的最精确方法。在(外部)放射治疗中,它们越来越多地用于治疗计划期间剂量分布的计算。与其他剂量分布计算算法相比,蒙特卡罗方法能够提高剂量计算的准确性——尤其是在复杂情况下(例如考虑不均匀性)。然而,对于蒙特卡罗计算结果在绝对基础上的准确程度,人们缺乏了解。可以通过与基准实验结果直接比较来对计算进行实际验证。这项工作展示了这样一个基准实验,并将其结果(详细考虑测量不确定性)与使用成熟的蒙特卡罗代码EGSnrc进行的蒙特卡罗计算结果进行比较。该实验在辐射类型和能量、所用材料以及剂量测量种类方面设计得与外照射放射治疗相似。由于为了在绝对基础上比较实验和模拟结果,射束的特性必须是已知的,因此基准实验是使用德国物理技术研究院(PTB)的研究用电子加速器进行的,其射束事先已被精确表征。针对两种不同类型的电离室进行了基准实验和相应的蒙特卡罗模拟,并对结果进行了比较。考虑到不确定性,实验值约为0.7%,蒙特卡罗模拟约为1.0%,模拟结果与实验结果相符。