Voxel classification methodology for rapid Monte Carlo simulation of light propagation in complex media

作     者：任努努 赵恒 朱守平 屈晓超 刘宏亮 胡振华 梁继民 田捷 

作者机构：Life Sciences Research CenterSchool of Life Sciences and TechnologyXidian University Institute of AutomationChinese Academy of Science 

出 版 物：《Chinese Optics Letters》 (中国光学快报（英文版）)

年 卷 期：2011年第9卷第4期

页      面：75-78页

核心收录：

学科分类：0710[理学-生物学] 07[理学] 09[农学] 

基　　金：supported by the National "973" Program of China (Nos. 2006CB705700 and 2011CB707702) CAS Hundred Talents Program, the National Natural Science Foundation of China (Nos. 81090272, 81000632, and 30900334) the Shaanxi Provincial Natural Science Foundation Research Project (No. 2009JQ8018) the Fundamental Research Funds for the Central Universities 

主　　题：Computer simulation Light propagation Photons 

摘      要：Monte Carlo （MC） method is a statistical method for simulating photon propagation in media in the optical molecular imaging field. However, obtaining an accurate result using the method is quite time-consuming, especially because the boundary of the media is complex. A voxel classification method is proposed to reduce the computation cost. All the voxels generated by dividing the media are classified into three types （outside, boundary, and inside） according to the position of the voxel. The classified information is used to determine the relative position of the photon and the intersection between photon path and media boundary in the MC method. The influencing factors and effectiveness of the proposed method are analyzed and validated by simulation experiments.