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作 者:任努努 赵恒 朱守平 屈晓超 刘宏亮 胡振华 梁继民 田捷
机构地区:[1]Life Sciences Research Center,School of Life Sciences and Technology,Xidian University [2]Institute of Automation,Chinese Academy of Science
出 处:《Chinese Optics Letters》2011年第4期75-78,共4页中国光学快报(英文版)
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
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.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.
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