CASIA OpenIR  > 中国科学院分子影像重点实验室
Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography
He, Xuelei1,2; Meng, Hui2; He, Xiaowei1; Wang, Kun2; Song, Xiaolei1; Tian, Jie2,3,4,5,6,7
Source PublicationMOLECULAR IMAGING AND BIOLOGY
ISSN1536-1632
2021-01-07
Pages13
Corresponding AuthorTian, Jie(jie.tian@ia.ac.cn)
AbstractPurpose: Fluorescence molecular tomography (FMT) is a promising technique for three-dimensional (3D) visualization of biomarkers in small animals. Morphological reconstruction is valuable and necessary for further applications of FMT owing to its innate requirement for knowledge of the molecular probe distributions. Procedures: In this study, a Laplacian manifold regularization joint l(1/2)-norm model is proposed for morphological reconstruction and solved by a nonconvex algorithm commonly referred to as the half-threshold algorithm. The model is combined with the structural and sparsity priors to achieve the location and structure of the target. In addition, two improvement forms (truncated and hybrid truncated forms) are proposed for better morphological reconstruction. The truncated form is proposed for balancing the sharpness and smoothness of the boundary of reconstruction. A hybrid truncated form is proposed for more structural priors. To evaluate the proposed methods, three simulation studies (morphological, robust, and double target analyses) and an in vivo experiment were performed. Results: The proposed methods demonstrated morphological accuracy, location accuracy, and reconstruction robustness in glioma simulation studies. An in vivo experiment with an orthotopic glioma mouse model confirmed the advantages of the proposed methods. The proposed methods always yielded the best intersection of union (IoU) in simulations and in vivo experiments (mean of 0.80 IoU). Conclusions: Simulation studies and in vivo experiments demonstrate that the proposed half-threshold hybrid truncated Laplacian algorithm had an improved performance compared with the comparative algorithm in terms of morphology.
KeywordFluorescence molecular tomography Reconstruction Nonconvex Laplacian manifold In vivo imaging Morphology
DOI10.1007/s11307-020-01568-8
WOS KeywordTOTAL VARIATION REGULARIZATION ; DIFFUSE OPTICAL TOMOGRAPHY ; SPARSE RECONSTRUCTION ; MAXIMIZATION ; PERFORMANCE ; MICROSCOPY ; RECEPTOR ; PURSUIT ; SYSTEM ; CANCER
Indexed BySCI
Language英语
Funding ProjectMinistry of Science and Technology of China[2017YFA0205200] ; National Natural Science Foundation of China[81227901] ; National Natural Science Foundation of China[81527805] ; National Natural Science Foundation of China[81930053] ; National Natural Science Foundation of China[61671449] ; Chinese Academy of Sciences[KFJ-STS-ZDTP-059] ; Chinese Academy of Sciences[YJKYYQ20180048] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005] ; Innovative Talents Promotion Plan of Shananxi[2017SR5024]
Funding OrganizationMinistry of Science and Technology of China ; National Natural Science Foundation of China ; Chinese Academy of Sciences ; Innovative Talents Promotion Plan of Shananxi
WOS Research AreaRadiology, Nuclear Medicine & Medical Imaging
WOS SubjectRadiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000605858900001
PublisherSPRINGER
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/42573
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Northwest Univ, Sch Informat Sci & Technol, Xian 710127, Peoples R China
2.Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100190, Peoples R China
4.Beihang Univ, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing 100191, Peoples R China
5.Beihang Univ, Minist Ind & Informat Technol, Key Lab Big Data Based Precis Med, Beijing 100191, Peoples R China
6.Xidian Univ, Sch Life Sci & Technol, Engn Res Ctr Mol & Neuro Imaging, Minist Educ, Xian 710127, Peoples R China
7.Jinan Univ, Zhuhai Precis Med Ctr, Zhuhai Peoples Hosp, Zhuhai 519000, Peoples R China
First Author AffilicationChinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Corresponding Author AffilicationChinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
He, Xuelei,Meng, Hui,He, Xiaowei,et al. Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography[J]. MOLECULAR IMAGING AND BIOLOGY,2021:13.
APA He, Xuelei,Meng, Hui,He, Xiaowei,Wang, Kun,Song, Xiaolei,&Tian, Jie.(2021).Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography.MOLECULAR IMAGING AND BIOLOGY,13.
MLA He, Xuelei,et al."Nonconvex Laplacian Manifold Joint Method for Morphological Reconstruction of Fluorescence Molecular Tomography".MOLECULAR IMAGING AND BIOLOGY (2021):13.
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