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放射治疗治疗计划中的一种方法:一种基于图形处理器(GPU)的快速蒙特卡罗方法。

An Approach in Radiation Therapy Treatment Planning: A Fast, GPU-Based Monte Carlo Method.

作者信息

Karbalaee Mojtaba, Shahbazi-Gahrouei Daryoush, Tavakoli Mohammad B

机构信息

Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

出版信息

J Med Signals Sens. 2017 Apr-Jun;7(2):108-113.

PMID:28553584
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5437762/
Abstract

An accurate and fast radiation dose calculation is essential for successful radiation radiotherapy. The aim of this study was to implement a new graphic processing unit (GPU) based radiation therapy treatment planning for accurate and fast dose calculation in radiotherapy centers. A program was written for parallel running based on GPU. The code validation was performed by EGSnrc/DOSXYZnrc. Moreover, a semi-automatic, rotary, asymmetric phantom was designed and produced using a bone, the lung, and the soft tissue equivalent materials. All measurements were performed using a Mapcheck dosimeter. The accuracy of the code was validated using the experimental data, which was obtained from the anthropomorphic phantom as the gold standard. The findings showed that, compared with those of DOSXYZnrc in the virtual phantom and for most of the voxels (>95%), <3% dose-difference or 3 mm distance-to-agreement (DTA) was found. Moreover, considering the anthropomorphic phantom, compared to the Mapcheck dose measurements, <5% dose-difference or 5 mm DTA was observed. Fast calculation speed and high accuracy of GPU-based Monte Carlo method in dose calculation may be useful in routine radiation therapy centers as the core and main component of a treatment planning verification system.

摘要

准确快速的辐射剂量计算对于成功进行放射治疗至关重要。本研究的目的是在放射治疗中心实施一种基于新型图形处理单元(GPU)的放射治疗治疗计划,以实现准确快速的剂量计算。编写了一个基于GPU的并行运行程序。代码验证由EGSnrc/DOSXYZnrc执行。此外,使用骨、肺和软组织等效材料设计并制作了一个半自动、旋转、不对称体模。所有测量均使用Mapcheck剂量仪进行。使用从人体体模获得的实验数据作为金标准来验证代码的准确性。结果表明,与虚拟体模中DOSXYZnrc的结果相比,对于大多数体素(>95%),剂量差异<3%或距离一致性(DTA)<3 mm。此外,考虑人体体模,与Mapcheck剂量测量相比,观察到剂量差异<5%或DTA<5 mm。基于GPU的蒙特卡罗方法在剂量计算中的快速计算速度和高精度,作为治疗计划验证系统的核心和主要组成部分,可能在常规放射治疗中心有用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/42d4fd70d085/JMSS-7-108-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/f57c65632549/JMSS-7-108-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/4af857f4f0c2/JMSS-7-108-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/a97a2f91d1e3/JMSS-7-108-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/32b773374f28/JMSS-7-108-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/525aca5b21f6/JMSS-7-108-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/42d4fd70d085/JMSS-7-108-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/f57c65632549/JMSS-7-108-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/4af857f4f0c2/JMSS-7-108-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/a97a2f91d1e3/JMSS-7-108-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/32b773374f28/JMSS-7-108-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/525aca5b21f6/JMSS-7-108-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/addc/5437762/42d4fd70d085/JMSS-7-108-g008.jpg

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本文引用的文献

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