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dc.contributorVirginia Techen_US
dc.contributor.authorJiang, M.en_US
dc.contributor.authorZhou, T.en_US
dc.contributor.authorCheng, J. T.en_US
dc.contributor.authorCong, W. X.en_US
dc.contributor.authorWang, Geen_US
dc.date.accessioned2014-04-04T15:12:19Z
dc.date.available2014-04-04T15:12:19Z
dc.date.issued2007-09-01
dc.identifier.citationMing Jiang, Tie Zhou, Jiantao Cheng, Wenxiang Cong, and Ge Wang, "Image reconstruction for bioluminescence tomography from partial measurement," Opt. Express 15, 11095-11116 (2007). doi: 10.1364/oe.15.011095
dc.identifier.issn1094-4087
dc.identifier.urihttp://hdl.handle.net/10919/46915
dc.description.abstractThe bioluminescence tomography is a novel molecular imaging technology for small animal studies. Known reconstruction methods require the completely measured data on the external surface, although only partially measured data is available in practice. In this work, we formulate a mathematical model for BLT from partial data and generalize our previous results on the solution uniqueness to the partial data case. Then we extend two of our reconstruction methods for BLT to this case. The first method is a variant of the well-known EM algorithm. The second one is based on the Landweber scheme. Both methods allow the incorporation of knowledge-based constraints. Two practical constraints, the source non-negativity and support constraints, are introduced to regularize the BLT problem and produce stability. The initial choice of both methods and its influence on the regularization and stability are also discussed. The proposed algorithms are evaluated and validated with intensive numerical simulation and a physical phantom experiment. Quantitative results including the location and source power accuracy are reported. Various algorithmic issues are investigated, especially how to avoid the inverse crime in numerical simulations. (c) 2007 Optical Society of America.
dc.description.sponsorshipNKBRSF (2003CB716101)
dc.description.sponsorshipNSFC (60325101, 60532080, 60628102)
dc.description.sponsorshipChinese Ministry of Education (306017)
dc.description.sponsorshipEngineering Research Institute of Peking University
dc.description.sponsorshipMicrosoft Research of Asia
dc.description.sponsorshipNIH/NIBIB (EB001685)
dc.description.sponsorshipspecial grant for bioluminescent imaging from Department of Radiology, College of Medicine, University of Iowa
dc.language.isoen_US
dc.publisherOptical Society of America
dc.subjectIll-posed problemsen_US
dc.subjectIn-vivoen_US
dc.subjectFluorescence tomographyen_US
dc.subjectOpticalen_US
dc.subjectTomographyen_US
dc.subjectLighten_US
dc.subjectRegularizationen_US
dc.subjectIterationen_US
dc.titleImage Reconstruction For Bioluminescence Tomography From Partial Measurementen_US
dc.typeArticle - Refereeden_US
dc.identifier.urlhttp://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-15-18-11095
dc.date.accessed2014-02-24
dc.title.serialOptics Express
dc.identifier.doihttps://doi.org/10.1364/oe.15.011095
dc.type.dcmitypeTexten_US


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