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Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography
Guo, Hongbo1,2; Hu, Zhenhua2,3,4,5; He, Xiaowei1; Zhang, Xiaojun6; Liu, Muhan2; Zhang, Zeyu2; Shi, Xiaojing2; Zheng, Sheng2; Tian, Jie2,3,4,5
Source PublicationOPTICS EXPRESS
2017-11-13
Volume25Issue:23Pages:28068-28085
SubtypeArticle
AbstractWith the help of the clinical application of CLI in tumour and lymph node imaging, Cerenkov luminescence tomography (CLT) has the potential to be used for cancer staging. If staging cancer based on optical image of tumour, node and metastasis, one of the critical issues is multiple-source resolution. Because of the ill-posedness of the inverse problem and the diversity of tumor biological characteristics, the multiple-source resolution is a meaningful but challenge problem. In this paper, based on the compression perception theory, a non-convex sparse regularization algorithm (nCSRA) framework was proposed to improve the capacity of multiple-source resolving. Two typical algorithms (homotopy and iterative shrinkage-thresholding algorithm) were explored to test the performance of nCSRA. In numerical simulations and in vivo imaging experiments, the comparison results showed that the proposed nCSRA framework can significantly enhance the multiple-source resolution capability in aspect of spatial resolution, intensity resolution, and size resolution. (C) 2017 Optical Society of America
KeywordMultiple-source Resolution
WOS HeadingsScience & Technology ; Physical Sciences
DOI10.1364/OE.25.028068
WOS KeywordFLUORESCENCE MOLECULAR TOMOGRAPHY ; BIOLUMINESCENCE TOMOGRAPHY ; IMAGING-SYSTEM ; LYMPH-NODES ; RADIOTRACERS ; RECONSTRUCTION ; FEASIBILITY ; ENDOSCOPY ; ALGORITHM ; ALLOWS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China (NSFC)(81227901 ; National Key Research and Development Program of China(2016YFC0102600) ; Chinese Academy of Sciences(XDB02060010 ; International Innovation Team of CAS(20140491524) ; Beijing Municipal Science & Technology Commission(Z161100002616022) ; 81527805 ; YZ201672) ; 61231004 ; 11571012 ; 61622117 ; 81671759 ; 61302024 ; 61372046)
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:000415136700008
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/19552
Collection中国科学院分子影像重点实验室
Affiliation1.Northwest Univ Xian, Sch Informat Sci & Technol, Xian 710069, Shaanxi, Peoples R China
2.Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
3.Beijing Key Lab Mol Imaging, Beijing 100190, Peoples R China
4.State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100080, Peoples R China
6.Chinese Peoples Liberat Army Gen Hosp, Dept Nucl Med, Beijing 100853, Peoples R China
Recommended Citation
GB/T 7714
Guo, Hongbo,Hu, Zhenhua,He, Xiaowei,et al. Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography[J]. OPTICS EXPRESS,2017,25(23):28068-28085.
APA Guo, Hongbo.,Hu, Zhenhua.,He, Xiaowei.,Zhang, Xiaojun.,Liu, Muhan.,...&Tian, Jie.(2017).Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography.OPTICS EXPRESS,25(23),28068-28085.
MLA Guo, Hongbo,et al."Non-convex sparse regularization approach framework for high multiple-source resolution in Cerenkov luminescence tomography".OPTICS EXPRESS 25.23(2017):28068-28085.
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