Sparsity-Promoting Tomographic Fluorescence Imaging With Simplified Spherical Harmonics Approximation

被引:38
作者
Han, Dong [1 ]
Tian, Jie [1 ,2 ]
Liu, Kai [1 ]
Feng, Jinchao [3 ]
Zhang, Bo [4 ]
Ma, Xibo [1 ]
Qin, Chenghu [1 ]
机构
[1] Chinese Acad Sci, Med Image Proc Grp, Inst Automat, Beijing 100190, Peoples R China
[2] Xidian Univ, Life Sci Res Ctr, Sch Life Sci & Technol, Xian 710071, Peoples R China
[3] Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
[4] Northeastern Univ, Sino Dutch Biomed & Informat Engn Sch, Shenyang 110004, Peoples R China
关键词
Fluorescence imaging; optical imaging; tomography; DIFFUSE OPTICAL TOMOGRAPHY; RESOLVED BIOLUMINESCENCE TOMOGRAPHY; RECONSTRUCTION; ALGORITHM; LIGHT;
D O I
10.1109/TBME.2010.2053538
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Fluorescence molecular tomography has become a promising technique for in vivo small animal imaging and has many potential applications. Due to the ill-posed and the ill-conditioned nature of the problem, Tikhonov regularization is generally adopted to stabilize the solution. However, the result is usually over-smoothed. In this letter, the third-order simplified spherical harmonics approximation to radiative transfer equation is utilized to model the photon propagation within biological tissues. Considering the sparsity of the fluorescent sources, we replace Tikhonov method with an iteratively reweighted scheme. By dynamically updating the weight matrix, L1-norm regularization can be approximated, which can promote the sparsity of the solution. Simulation study shows that this method can preserve the sparsity of the fluorescent sources within heterogeneous medium, even with very limited measurement data.
引用
收藏
页码:2564 / 2567
页数:4
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