L1/2 regularization based numerical method for effective reconstruction of bioluminescence tomography

被引:25
作者
Chen, Xueli [1 ,2 ]
Yang, Defu [1 ,2 ]
Zhang, Qitan [1 ,2 ]
Liang, Jimin [1 ,2 ]
机构
[1] Xidian Univ, Sch Life Sci & Technol, Xian 710071, Peoples R China
[2] Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
IMAGE-RECONSTRUCTION; MOUSE; ALGORITHMS; FLUORESCENCE; CANCER;
D O I
10.1063/1.4876675
中图分类号
O59 [应用物理学];
学科分类号
摘要
Even though bioluminescence tomography (BLT) exhibits significant potential and wide applications in macroscopic imaging of small animals in vivo, the inverse reconstruction is still a tough problem that has plagued researchers in a related area. The ill-posedness of inverse reconstruction arises from insufficient measurements and modeling errors, so that the inverse reconstruction cannot be solved directly. In this study, an l(1/2) regularization based numerical method was developed for effective reconstruction of BLT. In the method, the inverse reconstruction of BLT was constrained into an l(1/2) regularization problem, and then the weighted interior-point algorithm (WIPA) was applied to solve the problem through transforming it into obtaining the solution of a series of l(1) regularizers. The feasibility and effectiveness of the proposed method were demonstrated with numerical simulations on a digital mouse. Stability verification experiments further illustrated the robustness of the proposed method for different levels of Gaussian noise. (C)14 AIP Publishing LLC.
引用
收藏
页数:6
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