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首页> 外文期刊>Physics in medicine and biology. >A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations.
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A GPU implementation of a track-repeating algorithm for proton radiotherapy dose calculations.

机译:用于质子放射疗法剂量计算的轨道重复算法的GPU实现。

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An essential component in proton radiotherapy is the algorithm to calculate the radiation dose to be delivered to the patient. The most common dose algorithms are fast but they are approximate analytical approaches. However their level of accuracy is not always satisfactory, especially for heterogeneous anatomical areas, like the thorax. Monte Carlo techniques provide superior accuracy; however, they often require large computation resources, which render them impractical for routine clinical use. Track-repeating algorithms, for example the fast dose calculator, have shown promise for achieving the accuracy of Monte Carlo simulations for proton radiotherapy dose calculations in a fraction of the computation time. We report on the implementation of the fast dose calculator for proton radiotherapy on a card equipped with graphics processor units (GPUs) rather than on a central processing unit architecture. This implementation reproduces the full Monte Carlo and CPU-based track-repeating dose calculations within 2%, while achieving a statistical uncertainty of 2% in less than 1 min utilizing one single GPU card, which should allow real-time accurate dose calculations.
机译:质子放疗的基本组成部分是算法,该算法可计算要传递给患者的放射剂量。最常见的剂量算法速度很快,但是它们是近似分析方法。然而,它们的精确度并不总是令人满意的,尤其是对于异质解剖区域,如胸部。蒙特卡洛技术可提供卓越的准确性;但是,它们通常需要大量的计算资源,这使其在常规临床应用中不切实际。轨迹重复算法,例如快速剂量计算器,已经显示出有望在短短的计算时间内实现质子放疗剂量计算的蒙特卡罗模拟的准确性。我们报告了质子放疗快速剂量计算器在配备有图形处理器单元(GPU)而不是中央处理单元体系结构的卡上的实施情况。此实现可在2%的范围内重现完整的基于Monte Carlo和基于CPU的重复轨道剂量计算,同时使用一张GPU卡在不到1分钟的时间内实现2%的统计不确定性,这应允许进行实时准确的剂量计算。

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