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A fast bioluminescent source localization method based on generalized graph cuts with mouse model validations
Liu, Kai1; Tian, Jie1,2; Lu, Yujie3; Qin, Chenghu1; Yang, Xin1; Zhu, Shouping1; Zhang, Xing1
Source PublicationOPTICS EXPRESS
2010-02-15
Volume18Issue:4Pages:3732-3745
SubtypeArticle
AbstractBioluminescence imaging (BLI) makes it possible to elucidate molecular and cellular signatures to better understand the effects of human disease in small animal models in vivo. The unambiguous three-dimensional bioluminescent source information obtained by bioluminescence tomography (BLT) could further facilitate its applications in biomedicine. However, to the best of our knowledge, the existing gradient-type reconstruction methods in BLT are inefficient, and often require a relatively small volume of interest (VOI) for feasible results. In this paper, a fast generalized graph cuts based reconstruction method for BLT is presented, which is to localize the bioluminescent source in heterogeneous mouse tissues via max-flow/min-cut algorithm. Since the original graph cuts theory can only handle graph-representable problem, the quadratic pseudo-boolean optimization is incorporated to make the graph representable and tractable, which is called generalized graph cuts (GGC). The internal light source can be reconstructed from the whole domain, so a priori knowledge of VOI can be avoided in this method. In the simulation validations, the proposed method was validated in a heterogeneous mouse atlas, and the source can be localized reliably and efficiently by GGC; and compared with gradient-type method, the proposed method is about 25-50 times faster. Moreover, the experiments for sensitivity to the measurement errors of tissue optical properties demonstrate that, the reconstruction quality is not much affected by mismatch of parameters. In what follows, in vivo mouse BLT reconstructions further demonstrated the potential and effectiveness of the generalized graph cut based reconstruction method. (C) 2010 Optical Society of America
KeywordTomography Inverse Problem Light Propagation Spectroscopy Fluorescence Luminescence
WOS HeadingsScience & Technology ; Physical Sciences
WOS KeywordPET OPET SYSTEM ; IMAGE-RECONSTRUCTION ; OPTICAL TOMOGRAPHY ; SIMULATION ; LIGHT
Indexed BySCI
Language英语
WOS Research AreaOptics
WOS SubjectOptics
WOS IDWOS:000274795700055
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/3900
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Chinese Acad Sci, Inst Automat, Med Image Proc Grp, Beijing 100190, Peoples R China
2.Xidian Univ, Life Sci Ctr, Xian 710071, Shaanxi, Peoples R China
3.Univ Calif Los Angeles, David Geffen Sch Med, Dept Mol & Med Pharmacol, Crump Inst Mol Imaging, Los Angeles, CA 90095 USA
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liu, Kai,Tian, Jie,Lu, Yujie,et al. A fast bioluminescent source localization method based on generalized graph cuts with mouse model validations[J]. OPTICS EXPRESS,2010,18(4):3732-3745.
APA Liu, Kai.,Tian, Jie.,Lu, Yujie.,Qin, Chenghu.,Yang, Xin.,...&Zhang, Xing.(2010).A fast bioluminescent source localization method based on generalized graph cuts with mouse model validations.OPTICS EXPRESS,18(4),3732-3745.
MLA Liu, Kai,et al."A fast bioluminescent source localization method based on generalized graph cuts with mouse model validations".OPTICS EXPRESS 18.4(2010):3732-3745.
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