CASIA OpenIR  > 中国科学院分子影像重点实验室
Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method
Ye, Jinzuo1; Chi, Chongwei1; Xue, Zhenwen2; Wu, Ping1; An, Yu3; Xu, Han3; Zhang, Shuang4; Tian, Jie1
Source PublicationBIOMEDICAL OPTICS EXPRESS
2014-02-01
Volume5Issue:2Pages:387-406
SubtypeArticle
AbstractFluorescence molecular tomography (FMT), as a promising imaging modality, can three-dimensionally locate the specific tumor position in small animals. However, it remains challenging for effective and robust reconstruction of fluorescent probe distribution in animals. In this paper, we present a novel method based on sparsity adaptive subspace pursuit (SASP) for FMT reconstruction. Some innovative strategies including subspace projection, the bottom-up sparsity adaptive approach, and backtracking technique are associated with the SASP method, which guarantees the accuracy, efficiency, and robustness for FMT reconstruction. Three numerical experiments based on a mouse-mimicking heterogeneous phantom have been performed to validate the feasibility of the SASP method. The results show that the proposed SASP method can achieve satisfactory source localization with a bias less than 1mm; the efficiency of the method is much faster than mainstream reconstruction methods; and this approach is robust even under quite ill-posed condition. Furthermore, we have applied this method to an in vivo mouse model, and the results demonstrate the feasibility of the practical FMT application with the SASP method. (C) 2014 Optical Society of America
KeywordImage Reconstruction Techniques Inverse Problems Tomographic Imaging Light Propagation In Tissues
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
WOS KeywordDIFFUSE OPTICAL TOMOGRAPHY ; ELEMENT BASED TOMOGRAPHY ; IMAGE-RECONSTRUCTION ; REGULARIZATION ; ALGORITHM ; TISSUE ; LIGHT ; FEASIBILITY ; EQUATIONS ; SYSTEMS
Indexed BySCI
Language英语
WOS Research AreaBiochemistry & Molecular Biology ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectBiochemical Research Methods ; Optics ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000331072400005
Citation statistics
Cited Times:27[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/4037
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China
2.Huawei Technol Co Ltd, Chengdu Inst, Chengdu 611731, Sichuan, Peoples R China
3.Beijing Jiaotong Univ, Sch Comp & Informat Technol, Dept Biomed Engn, Beijing 100044, Peoples R China
4.Northeastern Univ, Sino Dutch Biomed & Informat Engn Sch, Shenyang 110819, Liaoning, 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
Ye, Jinzuo,Chi, Chongwei,Xue, Zhenwen,et al. Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method[J]. BIOMEDICAL OPTICS EXPRESS,2014,5(2):387-406.
APA Ye, Jinzuo.,Chi, Chongwei.,Xue, Zhenwen.,Wu, Ping.,An, Yu.,...&Tian, Jie.(2014).Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method.BIOMEDICAL OPTICS EXPRESS,5(2),387-406.
MLA Ye, Jinzuo,et al."Fast and robust reconstruction for fluorescence molecular tomography via a sparsity adaptive subspace pursuit method".BIOMEDICAL OPTICS EXPRESS 5.2(2014):387-406.
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