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Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models
Liu, Kai1; Tian, Jie1,2; Qin, Chenghu1; Yang, Xin1; Zhu, Shouping2; Han, Dong1; Wu, Ping1
Source PublicationJOURNAL OF BIOMEDICAL OPTICS
2011-04-01
Volume16Issue:4Pages:-
SubtypeArticle
AbstractGenerally, the performance of tomographic bioluminescence imaging is dependent on several factors, such as regularization parameters and initial guess of source distribution. In this paper, a global-inexact-Newton based reconstruction method, which is regularized by a dynamic sparse term, is presented for tomographic reconstruction. The proposed method can enhance higher imaging reliability and efficiency. In vivo mouse experimental reconstructions were performed to validate the proposed method. Reconstruction comparisons of the proposed method with other methods demonstrate the applicability on an entire region. Moreover, the reliable performance on a wide range of regularization parameters and initial unknown values were also investigated. Based on the in vivo experiment and a mouse atlas, the tolerance for optical property mismatch was evaluated with optical overestimation and underestimation. Additionally, the reconstruction efficiency was also investigated with different sizes of mouse grids. We showed that this method was reliable for tomographic bioluminescence imaging in practical mouse experimental applications. (C) 2011 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.3570828]
KeywordTomographic Imaging Optical Imaging Bioluminescence Imaging Inverse Problem Sparse Regularization
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
WOS KeywordLAPLACIAN-TYPE REGULARIZATION ; RADIATIVE-TRANSFER EQUATION ; DIFFUSE OPTICAL TOMOGRAPHY ; PET OPET SYSTEM ; IN-VIVO ; GRAPH CUTS ; SIMULATION ; LIGHT ; PROPAGATION ; TRANSPORT
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:000291031400023
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3989
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Chinese Acad Sci, Med Image Proc Grp, Inst Automat, Beijing 100190, Peoples R China
2.Xidian Univ, Sch Life Sci & Technol, Xian 710071, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Liu, Kai,Tian, Jie,Qin, Chenghu,et al. Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models[J]. JOURNAL OF BIOMEDICAL OPTICS,2011,16(4):-.
APA Liu, Kai.,Tian, Jie.,Qin, Chenghu.,Yang, Xin.,Zhu, Shouping.,...&Wu, Ping.(2011).Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models.JOURNAL OF BIOMEDICAL OPTICS,16(4),-.
MLA Liu, Kai,et al."Tomographic bioluminescence imaging reconstruction via a dynamically sparse regularized global method in mouse models".JOURNAL OF BIOMEDICAL OPTICS 16.4(2011):-.
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