基于改进半阈值法的生物发光断层成像仿真  

Simulation of Bioluminescence Tomography Based on Improved Half Threshold Algorithm

作　　者：方子叶 余景景[1] Fang Ziye;Yu Jingjing(School of Physics and Information Technology,Shaanxi Normal University,Xi’an,Shaanxi 710119,China)

机构地区：[1]陕西师范大学物理与信息技术学院

出　　处：《光学学报》2019年第10期251-258,共8页Acta Optica Sinica

基　　金：国家自然科学基金(11871321);陕西省国际科技合作与交流计划项目(2018KW-066)

摘　　要：提出将百分位半阈值匹配追踪法(PHTPA)应用于生物发光断层成像(BLT)这一光学分子成像模态领域。将BLT光源重建为一个L1/2范数正则化问题,在迭代半阈值算法(HTA)的基础上,结合子空间跟踪和百分位阈值法对其求解。在数字鼠模型上设计多组仿真实验,对改进的半阈值算法进行有效性和收敛性的评估。仿真结果表明,与原有的HTA和迭代重赋权算法相比,PHTPA在不同光源设置下都能得到更为准确的重建结果。We propose a percentile half threshold pursuit algorithm(PHTPA) for applying optical molecular imaging modality to bioluminescence tomography(BLT). The BLT reconstruction problem is modeled as an L1/2 regularization problem that can be solved by combining the subspace pursuit(SP) and percentile threshold methods based on the iterative half threshold algorithm(HTA). Several simulations are run on the digital mouse model to evaluate the validity and astringency of PHTPA. The simulation results demonstrate that PHTPA produces more accurate reconstruction results in different source settings when compared with the original HTA and iterative reweighted algorithms.

关 键 词：生物光学 生物发光断层成像 子空间追踪 百分位阈值法 半阈值算法 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论] Q632[自动化与计算机技术—计算机科学与技术]