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一种源自蒙特卡罗模拟的用于调强质子治疗的笔形束算法。

A pencil beam algorithm for intensity modulated proton therapy derived from Monte Carlo simulations.

作者信息

Soukup Martin, Fippel Matthias, Alber Markus

机构信息

Section for Biomedical Physics, Universitätsklinik für Radioonkologie, Hoppe-Seyler-Str. 3, 72076 Tübingen, Germany.

出版信息

Phys Med Biol. 2005 Nov 7;50(21):5089-104. doi: 10.1088/0031-9155/50/21/010. Epub 2005 Oct 19.

Abstract

A pencil beam algorithm as a component of an optimization algorithm for intensity modulated proton therapy (IMPT) is presented. The pencil beam algorithm is tuned to the special accuracy requirements of IMPT, where in heterogeneous geometries both the position and distortion of the Bragg peak and the lateral scatter pose problems which are amplified by the spot weight optimization. Heterogeneity corrections are implemented by a multiple raytracing approach using fluence-weighted sub-spots. In order to derive nuclear interaction corrections, Monte Carlo simulations were performed. The contribution of long ranged products of nuclear interactions is taken into account by a fit to the Monte Carlo results. Energy-dependent stopping power ratios are also implemented. Scatter in optional beam line accessories such as range shifters or ripple filters is taken into account. The collimator can also be included, but without additional scattering. Finally, dose distributions are benchmarked against Monte Carlo simulations, showing 3%/1 mm agreement for simple heterogeneous phantoms. In the case of more complicated phantoms, principal shortcomings of pencil beam algorithms are evident. The influence of these effects on IMPT dose distributions is shown in clinical examples.

摘要

提出了一种笔形束算法,作为调强质子治疗(IMPT)优化算法的一个组成部分。笔形束算法针对IMPT的特殊精度要求进行了调整,在非均匀几何结构中,布拉格峰的位置和畸变以及横向散射都会带来问题,而这些问题会因光斑权重优化而放大。通过使用注量加权子光斑的多重射线追踪方法来实现非均匀性校正。为了推导核相互作用校正,进行了蒙特卡罗模拟。通过对蒙特卡罗结果进行拟合,考虑了核相互作用的长程产物的贡献。还实现了能量依赖的阻止本领比。考虑了可选束线附件(如射程移位器或波纹滤波器)中的散射。准直器也可包括在内,但不考虑额外散射。最后,将剂量分布与蒙特卡罗模拟进行基准比较,对于简单的非均匀体模,显示出3%/1 mm的一致性。在更复杂体模的情况下,笔形束算法的主要缺点很明显。在临床实例中展示了这些效应对IMPT剂量分布的影响。

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