基于gpu加速快速单元搜索的自适应四面体网格体可视化

2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Pub Date : 2015-10-01 DOI:10.1109/NSSMIC.2015.7581930

A. Kimura, Satoshi Tanaka

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引用次数: 0

摘要

在这样一个人体的复杂几何形状中跟踪粒子是蒙特卡罗模拟快速计算的一个问题。自适应四面体网格是表示复杂几何图形的一种解决方案。由于搜索单元，计算单元的数量会影响计算速度。然而，单元格搜索是计算速度的一个问题。为此，开发了一种基于gpu加速的自适应四面体网格快速单元搜索算法。描述了自适应四面体网格生成方法。基于gpu的四面体网格快速搜索技术得到了发展。体积可视化软件也在开发，用于可视化蒙特卡洛辐射模拟的结果。

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Volume visualization using adaptive tetrahedral mesh with GPU-accelerated fast cell search

Tracking particles in a complex geometry of such a human body is an issue for the fast calculation of Monte Carlo simulations. An adaptive tetrahedral mesh is a solution for representing the complex geometry. The number of cells affects the calculation speed because of searching cells. However, the cell search is an issue for the calculation speed. Therefore, a GPU-accelerated fast cell search algorithm for the adaptive tetrahedral mesh has been developing. The adaptive tetrahedral mesh generation is described. The GPU-accelerated fast search of cells in the tetrahedral mesh has been developing. The volume visualization software has been also developing for visualizing outcomes of a Monte Carlo radiation simulation.

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2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

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