CASIA OpenIR
Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior
Jiang, Shixin1,2; Liu, Jie1; Zhang, Guanglei3; An, Yu2; Meng, Hui2; Gao, Yuan2; Wang, Kun2; Tian, Jie2,4
Source PublicationIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
ISSN0018-9294
2019-05-01
Volume66Issue:5Pages:1361-1371
Corresponding AuthorLiu, Jie(jieliu@bjtu.edu.cn) ; Wang, Kun(kun.wang@ia.ac.cn) ; Tian, Jie(tian@ieee.org)
AbstractObjective: The aim of this paper is to improve the reconstruction accuracy in both position and source region of fluorescence molecular tomography (FMT). Methods: The reconstruction of the FMT is challenging due to its serious ill-posedness and ill-condition. Currently, to obtain the fluorescent sources accurately, more a priori information of the fluorescent sources is utilized and more efficient and practical methods are proposed. In this paper, we took the group sparsity of the fluorescent sources as a new type of priori information in the FMT, and proposed the fused LASSO method (FLM) for FMT. The FLM based on group sparsity prior not only takes advantage of the sparsity of the fluorescent sources, but also utilizes the structure of the sources, thus making the reconstruction resultsmore accuracy and morphologically similar to the sources. To further improve the reconstruction efficiency, we adopt Nesterov's method to solve the FLM. Results: Both heterogeneous numerical simulation experiments and in vivo mouse experiments were carried out to verify the property of the FLM. The results have verified the superiority of the FLM over conventional methods in tumor detection and tumor morphological reconstruction. Furthermore, the in vivo experiments had demonstrated that the FLM has great potential in preclinical application of the FMT. Significance: The reconstruction method based on group sparsity prior has a great potential in the FMT study, it can further improve the reconstruction quality, which has practical significance in preclinical research.
KeywordFluorescence molecular tomography image reconstruction fused LASSO method group sparsity
DOI10.1109/TBME.2018.2872913
WOS KeywordDIFFUSE OPTICAL TOMOGRAPHY ; ELEMENT BASED TOMOGRAPHY ; BIOLUMINESCENCE TOMOGRAPHY ; IMAGE-RECONSTRUCTION ; THRESHOLDING ALGORITHM ; REGULARIZATION ; LIGHT ; MICROSCOPY ; RESOLUTION ; PURSUIT
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFA0700401] ; National Key Research and Development Program of China[2017YFA0205200] ; National Natural Science Foundation of China[81571836] ; National Natural Science Foundation of China[61601019] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81401471] ; National Natural Science Foundation of China[61671449] ; Beijing Natural Science Foundation[7164270] ; Beijing Municipal Science and Technology Commission[Z161100002616022] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Fundamental Research Funds for Central Universities[2017RC025] ; Fundamental Research Funds for Central Universities[2017RC023] ; 111 Project[B13003]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Beijing Natural Science Foundation ; Beijing Municipal Science and Technology Commission ; Chinese Academy of Sciences ; Fundamental Research Funds for Central Universities ; 111 Project
WOS Research AreaEngineering
WOS SubjectEngineering, Biomedical
WOS IDWOS:000466024600017
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/24234
Collection中国科学院自动化研究所
Corresponding AuthorLiu, Jie; Wang, Kun; Tian, Jie
Affiliation1.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing, Peoples R China
3.Beihang Univ, Beijing Adv Innovat Ctr Biomed Engn, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Jiang, Shixin,Liu, Jie,Zhang, Guanglei,et al. Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2019,66(5):1361-1371.
APA Jiang, Shixin.,Liu, Jie.,Zhang, Guanglei.,An, Yu.,Meng, Hui.,...&Tian, Jie.(2019).Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,66(5),1361-1371.
MLA Jiang, Shixin,et al."Reconstruction of Fluorescence Molecular Tomography via a Fused LASSO Method Based on Group Sparsity Prior".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 66.5(2019):1361-1371.
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