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dc.contributor.authorKim, Seung-Gu
dc.contributor.authorNg, Shu-Kay
dc.contributor.authorJ. McLachlan, Geoffrey
dc.contributor.authorWang, Deming
dc.contributor.editorBrian C. Lovell and Anthony J. Maeder
dc.date.accessioned2017-05-03T15:18:16Z
dc.date.available2017-05-03T15:18:16Z
dc.date.issued2003
dc.date.modified2010-07-15T07:38:32Z
dc.identifier.urihttp://hdl.handle.net/10072/32145
dc.description.abstractWe consider a statistical model-based approach to the segmentation of magnetic resonance (MR) images with bias field correction. The proposed method of penalized maximum likelihood is implemented via the expectationconditional maximization (ECM) algorithm, using an approximation to the E-step based on a fractional weight version of the iterated conditional modes (ICM) algorithm. A Markov random field (MRF) is adopted to model the spatial dependence between neighouring voxels. The approach is illustrated using some simulated and real MR data.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherUniversity of Queensland
dc.publisher.placeBrisbane
dc.publisher.urihttp://www.aprs.org.au/wdic2003/CDROM/index.html
dc.relation.ispartofbookorjournalProceedings of the 2003 APRS Workshop on Digital Image Computing (WDIC 2003)
dc.relation.ispartofconferencename2003 APRS Workshop on Digital Image Computing (WDIC 2003)
dc.relation.ispartofconferencetitleProceedings of the 2003 APRS Workshop on Digital Image Computing (WDIC 2003)
dc.relation.ispartofdatefrom2003-07-02
dc.relation.ispartofdateto2003-07-02
dc.relation.ispartoflocationUniversity of Queensland
dc.subject.fieldofresearchMulti-Disciplinary
dc.subject.fieldofresearchcode999999
dc.titleSegmentation of Brain MR Images with Bias Field Correction.
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.date.issued2003
gro.hasfulltextNo Full Text
gro.griffith.authorNg, Shu Kay Angus


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    Contains papers delivered by Griffith authors at national and international conferences.

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