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Segmentation of the left ventricular endocardium from magnetic resonance images by using different statistical shape models

hal.structure.identifierPolitecnico di Milano [Milan] [POLIMI]
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
dc.contributor.authorPIAZZESE, Concetta
hal.structure.identifierCentro Cardiologico Monzino [Milano]
dc.contributor.authorCARMINATI, M. Chiara
hal.structure.identifierPolitecnico di Milano [Milan] [POLIMI]
dc.contributor.authorCOLOMBO, Andrea
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
dc.contributor.authorKRAUSE, Rolf
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorPOTSE, Mark
hal.structure.identifierCenter for Computational Medicine in Cardiology [Lugano]
dc.contributor.authorAURICCHIO, Angelo
hal.structure.identifierUniversity of Chicago
dc.contributor.authorWEINERT, Lynn
hal.structure.identifierCentro Cardiologico Monzino [Milano]
dc.contributor.authorTAMBORINI, Gloria
hal.structure.identifierCentro Cardiologico Monzino [Milano]
dc.contributor.authorPEPI, Mauro
hal.structure.identifierUniversity of Chicago
dc.contributor.authorLANG, Roberto M
hal.structure.identifierPolitecnico di Milano [Milan] [POLIMI]
dc.contributor.authorCAIANI, Enrico G.
dc.date.accessioned2024-04-04T03:12:56Z
dc.date.available2024-04-04T03:12:56Z
dc.date.created2015-11-30
dc.date.issued2016-05-01
dc.identifier.issn0022-0736
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193911
dc.description.abstractEnWe evaluate in this paper different strategies for the construction of a statistical shape model (SSM) of the left ventricle (LV) to be used for segmentation in cardiac magnetic resonance (CMR) images. From a large database of LV surfaces obtained throughout the cardiac cycle from 3D echocardiographic (3DE) LV images, different LV shape models were built by varying the considered phase in the cardiac cycle and the registration procedure employed for surface alignment. Principal component analysis was computed to describe the statistical variability of the SSMs, which were then deformed by applying an active shape model (ASM) approach to segment the LV endocardium in CMR images of 45 patients. Segmentation performance was evaluated by comparing LV volumes derived by ASM segmentation with different SSMs and those obtained by manual tracing, considered as a reference. A high correlation (r2 > 0.92) was found in all cases, with better results when using the SSM models comprising more than one frame of the cardiac cycle.
dc.language.isoen
dc.publisherElsevier
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/
dc.subject.enCardiac MRI
dc.subject.enImage segmentation
dc.subject.enLeft ventricular volume
dc.subject.enStatistical shape model
dc.title.enSegmentation of the left ventricular endocardium from magnetic resonance images by using different statistical shape models
dc.typeArticle de revue
dc.identifier.doi10.1016/j.jelectrocard.2016.03.017
dc.subject.halSciences du Vivant [q-bio]/Médecine humaine et pathologie/Cardiologie et système cardiovasculaire
bordeaux.journalJournal of Electrocardiology
bordeaux.page383–391
bordeaux.volume49
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue3
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01302237
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01302237v1
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