光学分子影像仿真平台MOSE的设计与实现

随着光学分子影像研究的不断深入及相关实验的不断改进,越来越多的研究人员迫切需要一种仿真平台来辅助研究光传输过程。介绍了一种集成多种光学分子成像模态前向仿真的软件平台MOSE(Molecular Optical Simu-lation Environment)。该平台以光学分子成像实验为基础,实现了光在混沌介质及自由空间中的传输仿真算法,并在统一的光学分子成像仿真框架上整合了图形显示与数据分析等功能。给出了整个平台的结构设计、仿真算法、图形显示及其他设计细节,并给出了应用示例来展示MOSE的仿真功能。实验结果表明,相关研究人员通过该平台可快速实现光学成像研究中的实验仿真及数据分析,提高研究效率并降低研究成本。

基于非截断小波有限元的BLT正向问题研究

针对自发荧光断层成像,提出了一种非截断小波有限元算法.该算法采用单元间非截断组合小波基来逼近未知函数,从理论上解决了二维和三维下复杂形状体的剖分,并成功地应用于自发荧光断层成像正向问题中圆柱和圆球仿体的研究.理论分析和数值仿真结果表明,与传统有限元的数值解相比,该算法在获得同样有效解的情况下减少了单元剖分数,降低了计算的复杂度.

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

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.