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dc.contributor.authorJayasuriya, SA
dc.contributor.authorLiew, AWC
dc.contributor.authorLaw, NF
dc.date.accessioned2017-08-14T12:30:55Z
dc.date.available2017-08-14T12:30:55Z
dc.date.issued2013
dc.date.modified2013-10-02T23:37:04Z
dc.identifier.issn0895-6111
dc.identifier.doi10.1016/j.compmedimag.2013.06.001
dc.identifier.urihttp://hdl.handle.net/10072/53479
dc.description.abstractIn neuroimage analysis, the automatic identification of symmetry plane has various applications. Despite the considerable amount of research, this remains an open problem. Most of the existing work based on image intensity is either sensitive to strong noise or not applicable to different imaging modalities. This paper presents a novel approach for identifying symmetry plane in three-dimensional brain magnetic resonance (MR) images based on the concepts of fractal dimension and lacunarity analysis which characterizes the complexity and homogeneity of an object. Experimental results, evaluation, and comparison with two other state-of-the-art techniques show the accuracy and the robustness of our method.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent1205542 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofpagefrom568
dc.relation.ispartofpageto580
dc.relation.ispartofissue7-8
dc.relation.ispartofjournalComputerized Medical Imaging and Graphics
dc.relation.ispartofvolume37
dc.rights.retentionY
dc.subject.fieldofresearchArtificial Intelligence and Image Processing not elsewhere classified
dc.subject.fieldofresearchBiomedical Engineering
dc.subject.fieldofresearchClinical Sciences
dc.subject.fieldofresearchcode080199
dc.subject.fieldofresearchcode0903
dc.subject.fieldofresearchcode1103
dc.titleBrain symmetry plane detection based on fractal analysis
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.copyright© 2013 Elsevier Inc. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal's website for access to the definitive, published version.
gro.date.issued2013
gro.hasfulltextFull Text
gro.griffith.authorLiew, Alan Wee-Chung
gro.griffith.authorJayasuriya, Surani A.


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