Source reconstruction for bioluminescence tomography via L1∕2 regularization

Journal of Innovative Optical Health Sciences

关键词: Bioluminescence tomography;    L1∕2 regularization;    inverse problem;    reconstruction algorithm;   

DOI  :  10.1142/S1793545817500146

学科分类：医学（综合）

来源: World Scientific Publishing Co. Pte. Ltd.

【 摘 要 】

Bioluminescence tomography (BLT) is an important noninvasive optical molecular imaging modality in preclinical research. To improve the image quality, reconstruction algorithms have to deal with the inherent ill-posedness of BLT inverse problem. The sparse characteristic of bioluminescent sources in spatial distribution has been widely explored in BLT and many L1-regularized methods have been investigated due to the sparsity-inducing properties of L1 norm. In this paper, we present a reconstruction method based on L1∕2 regularization to enhance sparsity of BLT solution and solve the nonconvex L1∕2 norm problem by converting it to a series of weighted L1 homotopy minimization problems with iteratively updated weights. To assess the performance of the proposed reconstruction algorithm, simulations on a heterogeneous mouse model are designed to compare it with three representative sparse reconstruction algorithms, including the weighted interior-point, L1 homotopy, and the Stagewise Orthogonal Matching Pursu...

【 授权许可】

Unknown