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Sparse-Based Morphometry: Principle and Application to Alzheimer's Disease

hal.structure.identifierLaboratoire Bordelais de Recherche en Informatique [LaBRI]
dc.contributor.authorCOUPÉ, Pierrick
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDELEDALLE, Charles
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorDOSSAL, Charles
hal.structure.identifierInstitut de Neurosciences cognitives et intégratives d'Aquitaine [INCIA]
dc.contributor.authorALLARD, Michèle
dc.date.accessioned2024-04-04T03:12:58Z
dc.date.available2024-04-04T03:12:58Z
dc.date.conference2016-10-17
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193913
dc.description.abstractEnThe detection of brain alterations is crucial for understanding pathophysiological or neurodegenerative processes. The Voxel-Based Morphometry (VBM) is one of the most popular methods to achieve this task. Based on the comparison of local averages of tissue densities, VBM has been used in a large number of studies. Despite its numerous advantages , VBM is based on a highly reduced representation of the local brain anatomy since complex anatomical patterns are reduced to local averages of tissue probabilities. In this paper, we propose a new framework called Sparse-Based Morphometry (SBM) to better represent local brain anatomies. The presented patch-based approach uses dictionary learning to detect anatomical pattern modifications based on their shape and geometry. In our validation, the impact of the patch and group sizes is evaluated. Moreover, the sensitivity of SBM along Alzheimer's Disease (AD) progression is compared to VBM. Our results indicate that SBM is more sensitive than VBM on small groups and to detect early anatomical modifications caused by AD.
dc.language.isoen
dc.source.titleLecture Notes in Computer Science
dc.subject.envoxel-based morphometry
dc.subject.enAlzheimer's Disease
dc.subject.endictionary learning
dc.subject.enabnormality detection
dc.subject.enpatch-based processing
dc.title.enSparse-Based Morphometry: Principle and Application to Alzheimer's Disease
dc.typeCommunication dans un congrès
dc.identifier.doi10.1007/978-3-319-47118-1_6
dc.subject.halInformatique [cs]/Imagerie médicale
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titlePatch-Based Techniques in Medical Imaging (MICCAI)
bordeaux.countryGR
bordeaux.title.proceedingLecture Notes in Computer Science
bordeaux.conference.cityAthènes
bordeaux.peerReviewedoui
hal.identifierhal-01398763
hal.version1
hal.invitednon
hal.proceedingsoui
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01398763v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Lecture%20Notes%20in%20Computer%20Science&rft.au=COUP%C3%89,%20Pierrick&DELEDALLE,%20Charles&DOSSAL,%20Charles&ALLARD,%20Mich%C3%A8le&rft.genre=unknown


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