Effective and robust approach for fluorescence molecular tomography based on CoSaMP and SP_(3)model

作     者：Xiaowei He Hongbo Guo Jingjing Yu Xu Zhang Yuqing Hou 

作者机构：Northwest University School of Information Sciences and Technology Xi'anP.R.China 710069 Shaanxi Normal University School of Physics and Information Technology Xi'anP.R.China 710062 

出 版 物：《Journal of Innovative Optical Health Sciences》 (创新光学健康科学杂志（英文）)

年 卷 期：2016年第9卷第6期

页      面：66-76页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 1004[医学-公共卫生与预防医学(可授医学、理学学位)] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0805[工学-材料科学与工程（可授工学、理学学位）] 0836[工学-生物工程] 0702[理学-物理学] 

基　　金：supported by the National Natural Science Foundation of China(Nos.61372046,11571012 and 61401264) the Research Fund for the Doctoral Program of Higher Education of China(New Teachers)(No.20116101120018) the Science and Technology Plan Program in Shaanxi Province of China(Nos.2012 KJXX-29 and 2015 KW-002) the Natural Science Basic Research Plan in Shaanxi Province of China(No.2015JM6322). 

主　　题：Tomography image reconstruction techniques medical and biological imaging inverse problems 

摘      要：Fluorescence molecular tomography(FMT)allows the detection and quantification of various biological processes in small animals in vrivo,which expands the horizons of pre clinical rescarch and drug development.Eficient three dimensional(3D)reconstruction algorithm is the key to accurate localization and quant ification of fAuorescent target in FMT.In this paper,3D recon-struction of FMT is regarded as a sparse signal recovery problem and the compressive sampling matching pursuit(CoSaMP)algorithm is adopted to obtain greedy recovery of fuorescent sig-nals.Moreover,to reduce the modeling error,the simplified spherical harmonics approximation to the radiative transfer equation(RTE),more specifically SP_(3),is utilized to describe light prop-agation in biological tissues.The performance of the proposed reconstruction method is thor-oughly evaluated by simulations on a 3D digital mouse model by comparing it with three representative greedy methods including orthogonal matching pursuit(OMP),stagewise OMP(StOMP),and regularized OMP(ROMP).The CoSaMP combined with SP_(3)shows an im-provement in reconstruction accuracy and exhibits distinct advantages over the comparative algorithms in multiple targets resolving.Stability analysis suggests that CoSaMP is robust to noise and performs stably with reduction of measurements.The feasibility and reoonstruction accuracy of the proposed method are further validated by phantom experimental data.