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pGPUMCD: an efficient GPU-based Monte Carlo code for accurate proton dose calculations

机译:PGPUMCD:高效的基于GPU的蒙特卡罗代码,用于精确质子剂量计算

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摘要

In proton therapy, Monte Carlo simulations are desirable to accurately predict the delivered dose. This paper introduces and benchmarks pGPUMCD, a GPU-based Monte Carlo code implementing the physical processes required for proton therapy applications. In pGPUMCD, the proton transport is carried out in a voxelized geometry with a class II condensed history scheme. For this purpose, the equivalent restricted stopping power formalism (L-eq formalism), the Fermi-Eyges scattering theory and the discrete electromagnetic/nuclear interactions were considered. pGPUMCD was compared to Geant4 in a validation study where the physical processes were validated one after the other. Dose differences between pGPUMCD and Geant4 were smaller than 1% in the Bragg peak region and up to 3% in its distal fall-off. Moreover, a voxelwise dose difference below 1% was observed for 99.5% of calculation positions. The pGPUMCD 80% falloff positions matched with those of Geant4 within 0.1%. The pGPUMCD computation times were inversely proportional to the voxel size, with one million protons transported in less than 0.5 s with 1 x 1 x 1 mm(3) voxels. pGPUMCD, based on the L-eq formalism variance reduction technique, is therefore an attractive candidate for integration in a clinical treatment planning system.
机译:在质子疗法中,蒙特卡罗模拟是理想的,以准确地预测递送剂量。本文介绍了基于GPU的Monte Carlo代码的PGPUMCD,实现了质子治疗应用所需的物理过程。在PGPUMCD中,质子传输在具有二级凝结的历史方案的体蛋白化几何形状中进行。为此目的,考虑了等效的限制停止动力形式主义(L-EQ系形),FERMIGES散射理论和离散电磁/核相互作用。将PGPUMCD与GEANT4进行比较,在验证研究中,在另一个之后验证了物理过程。 PGPUMCD和GEANT4之间的剂量差异在布拉格峰区域中的1%小于1%,其远端掉落中高达3%。此外,观察到低于1%的体素剂量差异为99.5%的计算位置。 PGPUMCD 80%的衰减位置与换下4的衰退位置0.1%以内。 PGPUMCD计算时间与体素尺寸成反比,其中一百万质子以小于0.5秒传输,其中1×1×1mm(3)体素。因此,基于L-EQ形式差异减少技术,PGPUMCD是一个有吸引力的候选者,用于临床治疗计划系统中的整合。

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