Show simple item record

dc.contributor.authorRisser, Laurent
dc.contributor.authorHolm, Darryl
dc.contributor.authorRueckert, Daniel
dc.contributor.authorVialard, François-Xavier
dc.date.accessioned2011-10-05T13:46:29Z
dc.date.available2011-10-05T13:46:29Z
dc.date.issued2011
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/7125
dc.language.isoenen
dc.subjectlarge deformations by diffeomorphisms (LDDMM)en
dc.subjectdiffeomorphic organ atlasesen
dc.subject.ddc519en
dc.titleDiffeomorphic Atlas Estimation using Kärcher Mean and Geodesic Shooting on Volumetric Imagesen
dc.typeCommunication / Conférence
dc.description.abstractenIn this paper, we propose a new algorithm to estimate diffeomorphic organ atlases out of 3D medical images. More precisely, we explore the feasibility of Kärcher means by using large deformations by diffeomorphisms (LDDMM). This framework preserves organs topology and has interesting properties to quantitatively describe their anatomical variability. We also use a new registration algorithm based on an optimal control method to satisfy the geodesicity of the deformations at any step of the optimisation process. Initial tangent vectors to the shapes, which are used to compute the Kärcher mean, are therefore estimated accurately. Our methodology is tested on different groups of 3D images representing organs with a large anatomical variability.en
dc.identifier.citationpages5en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.conftitleMedical Image Understanding and Analysis (MIUA'11)en
dc.relation.confdate2011-07
dc.relation.confcityLondresen
dc.relation.confcountryRoyaume-Unien


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record