Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
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 |
ISSN | 0018-9294 |
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 |
DOI | 10.1109/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 | |
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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