CT-based Monte Carlo simulation tool for dosimetry planning and analysis
CT-based Monte Carlo simulation tool for dosimetry planning and analysis
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DOI：
10.1118/1.598167
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发表时间：
1998-01-01
期刊：
影响因子：
3.8
通讯作者：
Smathers, JB
中科院分区：
文献类型：
--
作者：
DeMarco, JJ;Solberg, TD;Smathers, JB
洛斯阿拉莫斯国家实验室的MCNP 4A程序（Monte Carlo N-Particle version 4A）目前被用于模拟从核反应堆分析到硼中子俘获治疗的各种问题。已开发的图形用户界面，自动设置MCNP 4A的几何形状和辐射源的要求，使用计算机断层扫描数据的三维蒙特卡罗模拟。该剂量测定系统的主要缺点是获得统计学显著性答案的时间量。一个专门的补丁文件已经开发，优化光子粒子传输和剂量评分内的标准MCNP 4A晶格几何形状。基于在30 x 30 x 30 cm（3）晶格水体模和1 x 1 x 1 mm（3）体素内居中的6 MV点源，传输修改产生约4.7的性能增加（每分钟的历史数）。基于大于1 x 10（4）个网格元素的计数部分和5 mm（3）的体素大小，剂量评分修改产生约470的性能增加。同质和异质基准计算产生良好的协议与测量使用标准的水幻影和高密度和低密度异质性幻影。从一个典型的纵隔治疗计划设置的剂量分布的定性分析和比较与传统的治疗计划系统。(C)1998年美国医学物理学家协会。
The Los Alamos code MCNP4A (Monte Carlo N-Particle version 4A) is currently used to simulate a variety of problems ranging from nuclear reactor analysis to boron neutron capture therapy. A graphical user interface has been developed that automatically sets up the MCNP4A geometry and radiation source requirements for a three-dimensional Monte Carlo simulation using computed tomography data. The major drawback for this dosimetry system is the amount of time to obtain a statistically significant answer. A specialized patch file has been developed that optimizes photon particle transport and dose scoring within the standard MCNP4A lattice geometry. The transport modifications produce a performance increase (number of histories per minute) of approximately 4.7 based upon a 6 MV point source centered within a 30 x 30 x 30 cm(3) lattice water phantom and 1 x 1 x 1 mm(3) voxels. The dose scoring modifications produce a performance increase of approximately 470 based upon a tally section of greater than 1 x 10(4) lattice elements and a voxel size of 5 mm(3). Homogeneous and heterogeneous benchmark calculations produce good agreement with measurements using a standard water phantom and a high-and low-density heterogeneity phantom. The dose distribution from a typical mediastinum treatment planning setup is presented for qualitative analysis and comparison versus a conventional treatment planning system. (C) 1998 American Association of Physicists in Medicine.