Nonlinear multigrid algorithms for Bayesian optical diffusion tomography

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dc.contributor.authorYe, Jong Chulko
dc.contributor.authorBouman, CAko
dc.contributor.authorWebb, KJko
dc.contributor.authorMillane, RPko
dc.date.accessioned2013-03-03T11:42:54Z-
dc.date.available2013-03-03T11:42:54Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2001-06-
dc.identifier.citationIEEE TRANSACTIONS ON IMAGE PROCESSING, v.10, no.6, pp.909 - 922-
dc.identifier.issn1057-7149-
dc.identifier.urihttp://hdl.handle.net/10203/78515-
dc.description.abstractOptical diffusion tomography is a technique for imaging a highly scattering medium using measurements of transmitted modulated light, Reconstruction of the spatial distribution of the optical properties of the medium from such data is a difficult nonlinear inverse problem. Bayesian approaches are effective, but are computationally expensive, especially for three-dimensional (3-D) imaging. This paper presents a general nonlinear multigrid optimization technique suitable for reducing the computational burden in a range of nonquadratic optimization problems. This multigrid method is applied to compute the maximum a posteriori (MAP) estimate of the reconstructed image in the optical diffusion tomography problem. The proposed multigrid approach both dramatically reduces the required computation and improves the reconstructed image quality.-
dc.languageEnglish-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleNonlinear multigrid algorithms for Bayesian optical diffusion tomography-
dc.typeArticle-
dc.identifier.wosid000168721400011-
dc.identifier.scopusid2-s2.0-0035369024-
dc.type.rimsART-
dc.citation.volume10-
dc.citation.issue6-
dc.citation.beginningpage909-
dc.citation.endingpage922-
dc.citation.publicationnameIEEE TRANSACTIONS ON IMAGE PROCESSING-
dc.contributor.localauthorYe, Jong Chul-
dc.contributor.nonIdAuthorBouman, CA-
dc.contributor.nonIdAuthorWebb, KJ-
dc.contributor.nonIdAuthorMillane, RP-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorBayesian image reconstruction-
dc.subject.keywordAuthormultiresolution image reconstruction-
dc.subject.keywordAuthornonlinear multigrid optimization-
dc.subject.keywordAuthoroptical diffusion tomography-
dc.subject.keywordPlusCOORDINATE-DESCENT OPTIMIZATION-
dc.subject.keywordPlusBORN ITERATIVE METHOD-
dc.subject.keywordPlusIMAGE-RECONSTRUCTION-
dc.subject.keywordPlusREFLECTANCE-
dc.subject.keywordPlusABSORPTION-
dc.subject.keywordPlusSCATTERING-
dc.subject.keywordPlusTISSUES-
dc.subject.keywordPlusSCHEME-
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