Journal of Innovative Optical Health Sciences | |
Source reconstruction for bioluminescence tomography via L1∕2 regularization | |
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
【 预 览 】
Files | Size | Format | View |
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RO201902196238601ZK.pdf | 1134KB | download |