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Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography
Yin, Lin; Wang, Kun; Tong, Tong; Wang, Qian; An, Yu; Yang, Xin; Tian, Jie
发表期刊IEEE Transactions on Biomedical Engineering
ISSN0018-9294
2021
卷号68期号:99页码:1
文章类型SCI
摘要

Objective: Bioluminescence tomography (BLT) is a promising modality that is designed to provide non-invasive quantitative three-dimensional information regarding the tumor distribution in living animals. However, BLT suffers from inferior reconstructions due to its ill-posedness. This study aims to improve the reconstruction performance of BLT. Methods: We propose an adaptive grouping block sparse Bayesian learning (AGBSBL) method, which incorporates the sparsity prior, correlation of neighboring mesh nodes, and anatomical structure prior to balance the sparsity and morphology in BLT. Specifically, an adaptive grouping prior model is proposed to adjust the grouping according to the intensity of the mesh nodes during the optimization process. Results: Numerical simulations and in vivo experiments demonstrate that AGBSBL yields a high position and morphology recovery accuracy, stability, and practicality. Conclusion: The proposed method is a robust and effective reconstruction algorithm for BLT. Moreover, the proposed adaptive grouping strategy can further increase the practicality of BLT in biomedical applications.

关键词adaptive grouping bioluminescence tomography block sparse Bayesian learning
DOI10.1109/TBME.2021.3071823
关键词[WOS]LAPLACE PRIOR REGULARIZATION ; MOUSE ; LIGHT ; REGISTRATION ; PROPAGATION ; ALGORITHMS ; SIMULATION
收录类别SCI
语种英语
资助项目Ministry of Science and Technology of China[2017YFA0205200] ; Ministry of Science and Technology of China[2017YFA0700401] ; Ministry of Science and Technology of China[2016YFC0103803] ; National Natural Science Foundation of China[61671449] ; National Natural Science Foundation of China[61901472] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[KFJ-STS-ZDTP-059] ; Chinese Academy of Sciences[YJKYYQ20180048] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Chinese Academy of Sciences[XDBS01030200]
项目资助者Ministry of Science and Technology of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences
WOS研究方向Engineering
WOS类目Engineering, Biomedical
WOS记录号WOS:000709080500024
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类医学影像处理与分析
引用统计
被引频次:15[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/44354
专题中国科学院分子影像重点实验室
通讯作者Wang, Kun; Tian, Jie
作者单位1.the CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences
2.School of Artificial Intelligence, University of Chinese Academy of Sciences
3.Department of Diagnostic Imaging, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College
4.Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing
推荐引用方式
GB/T 7714
Yin, Lin,Wang, Kun,Tong, Tong,et al. Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography[J]. IEEE Transactions on Biomedical Engineering,2021,68(99):1.
APA Yin, Lin.,Wang, Kun.,Tong, Tong.,Wang, Qian.,An, Yu.,...&Tian, Jie.(2021).Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography.IEEE Transactions on Biomedical Engineering,68(99),1.
MLA Yin, Lin,et al."Adaptive Grouping Block Sparse Bayesian Learning Method for Accurate and Robust Reconstruction in Bioluminescence Tomography".IEEE Transactions on Biomedical Engineering 68.99(2021):1.
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