Journal of Innovative Optical Health Sciences, Volume. 16, Issue 1, 2245003(2023)
Hybrid reconstruction framework for model-based multispectral bioluminescence tomography based on Alpha-divergence
Bioluminescence tomography (BLT) is a promising imaging modality that can provide noninvasive three-dimensional visualization information on tumor distribution. In BLT reconstruction, the widely used methods based on regularization or greedy strategy face problems such as over-sparsity, over-smoothing, spatial discontinuity, poor robustness, and poor multi-target resolution. To deal with these problems, combining the advantages of the greedy strategies as well as regularization methods, we propose a hybrid reconstruction framework for model-based multispectral BLT using the support set of a greedy strategy as a feasible region and the Alpha-divergence to combine the weighted solutions obtained by
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Ying Liu, Hongbo Guo, Yinglong Xiao, Wenjing Li, Jingjing Yu. Hybrid reconstruction framework for model-based multispectral bioluminescence tomography based on Alpha-divergence[J]. Journal of Innovative Optical Health Sciences, 2023, 16(1): 2245003
Category: Research Articles
Received: Jul. 29, 2022
Accepted: Nov. 2, 2022
Published Online: Feb. 21, 2023
The Author Email: Yu Jingjing (yujj@snnu.edu.cn)