结合区域收缩和贪婪策略的荧光分子断层成像  

Fluorescence Molecular Tomography via Greedy Method Combined with Region-Shrinking Strategy

作　　者：董芳[1] 侯榆青[1] 余景景[2] 郭红波[1] 贺小伟[1] 

机构地区：[1]西北大学信息科学与技术学院,陕西西安710069 [2]陕西师范大学物理与信息技术学院,陕西西安710062

出　　处：《激光与光电子学进展》2016年第1期169-175,共7页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61372046;61401264)

摘　　要：为降低荧光分子断层成像(FMT)重建的病态性,受压缩感知理论启发,提出一种结合自适应可行区域迭代收缩策略和分段正交匹配追踪算法的重建方法。通过选取高荧光产额节点所在区域,迭代缩小可行区域,使目标函数有一个全局最优解。数字鼠模型上单目标及双目标重建结果表明,贪婪算法结合区域收缩策略不仅可以显著提高荧光目标的定位精度和荧光产额的定量分布,还可以降低算法对参数选取的依赖。物理仿体实验进一步验证了该方法在实际FMT应用中的可行性和稳定性。To reduce the ill- posedness of reconstruction for fluorescence molecular tomography （FMT）, a reconstruction method combining adaptively iterative- shrinking permissible region strategy with subsection orthogonal matching pursuit algorithm is inspired by compressive sensing theory. The region of mesh nodes with higher fluorescent yield is chosen to iteratively shrink permissible region and make the objective function have a global optimal solution. In simulation experiments on digital mouse model, reconstruction results for single target and double targets demonstrate that greedy algorithm combining with shrink region strategy can not only significantly improve localization accuracy of fluorescent target and quantitative distribution of fluorescent yield, but also reduce dependence of algorithm on parameters choice. Physical simulation experiment further validates feasibility and stability of the proposed method in practical FMT applications.

关 键 词：生物光学 荧光分子断层成像 可行区域迭代收缩 分段正交匹配追踪 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] Q632[自动化与计算机技术—计算机科学与技术]