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dc.contributor.authorRisser, Laurent
HAL ID: 17551
dc.contributor.authorMurgasova, Maria
dc.contributor.authorHolm, Darryl
dc.contributor.authorRueckert, Daniel
dc.contributor.authorVialard, François-Xavier
dc.date.accessioned2011-10-04T16:57:15Z
dc.date.available2011-10-04T16:57:15Z
dc.date.issued2010
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/7115
dc.language.isoenen
dc.subjectregistration of 3D medical imagesen
dc.subjectLarge Deformation Diffeomorphic Metric Mapping (LDDMM)en
dc.subject.ddc519en
dc.titleLarge Deformation Diffeomorphic Registration Using Fine and Coarse Strategiesen
dc.typeCommunication / Conférence
dc.description.abstractenIn this paper we present two fine and coarse approaches for the efficient registration of 3D medical images using the framework of Large Deformation Diffeomorphic Metric Mapping (LDDMM). This formalism has several important advantages since it allows large, smooth and invertible deformations and has interesting statistical properties. We first highlight the influence of the smoothing kernel in the LDDMM framework. We then show why approaches taking into account several scales simultaneously should be used for the registration of complex shapes, such as those treated in medical imaging. We then present our fine and coarse approaches and apply them to the registration of binary images as well as the longitudinal estimation of the early brain growth in preterm MR images.en
dc.identifier.citationpages186-197en
dc.relation.ispartofseriestitleLecture Notes in Computer Science
dc.relation.ispartofseriesnumber6204
dc.relation.ispartoftitleBiomedical Image Registration 4th International Workshop, WBIR 2010, Lübeck, Germany, July 11-13, 2010. Proceedingsen
dc.relation.ispartofeditorFischer, Bernd
dc.relation.ispartofeditorDawant, Benoît
dc.relation.ispartofeditorLorenz, Cristian
dc.relation.ispartofpublnameSpringeren
dc.relation.ispartofpublcityBerlinen
dc.relation.ispartofdate2010
dc.relation.ispartofpages280en
dc.relation.ispartofurlhttp://dx.doi.org/10.1007/978-3-642-14366-3en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn978-3-642-14365-6en
dc.relation.conftitleInternational Workshop on Biomedical Image Registration (WBIR 2010)en
dc.relation.confdate2010-07
dc.relation.confcityLübecken
dc.relation.confcountryAllemagneen
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-14366-3_17


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