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hal.structure.identifierIHU-LIRYC
dc.contributor.authorMERLE, Mathilde
hal.structure.identifierIHU-LIRYC
dc.contributor.authorCOLLOT, Florent
hal.structure.identifierService Expérimentation et Développement [Bordeaux] [SED]
dc.contributor.authorCASTELNEAU, Julien
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorMIGERDITICHAN, Pauline
hal.structure.identifierCardiovasculaire, métabolisme, diabétologie et nutrition [CarMeN]
dc.contributor.authorJUHOOR, Mehdi
hal.structure.identifierE-Patient : Images, données & mOdèles pour la médeciNe numériquE [EPIONE]
dc.contributor.authorLY, Buntheng
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorOZENNE, Valery
hal.structure.identifierCentre de recherche Cardio-Thoracique de Bordeaux [Bordeaux] [CRCTB]
dc.contributor.authorQUESSON, Bruno
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorZEMZEMI, Nejib
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorCOUDIÈRE, Yves
hal.structure.identifierHôpital Haut-Lévêque - CHU de Bordeaux [Centre médico chirurgical Magellan]
dc.contributor.authorJAÏS, Pierre
hal.structure.identifierHôpital Haut-Lévêque - CHU de Bordeaux [Centre médico chirurgical Magellan]
dc.contributor.authorCOCHET, Hubert
hal.structure.identifierE-Patient : Images, données & mOdèles pour la médeciNe numériquE [EPIONE]
dc.contributor.authorSERMESANT, Maxime
dc.date.accessioned2024-04-04T02:36:21Z
dc.date.available2024-04-04T02:36:21Z
dc.date.issued2022-06
dc.identifier.issn2076-3417
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/190713
dc.description.abstractEnThe tremendous advancement of cardiac imaging methods, the substantial progress in predictive modelling, along with the amount of new investigative multimodalities, challenge the current technologies in the cardiology field. Innovative, robust and multimodal tools need to be created in order to fuse imaging data (e.g., MR, CT) with mapped electrical activity and to integrate those into 3D biophysical models. In the past years, several cross-platform toolkits have been developed to provide image analysis tools to help build such software. The aim of this study is to introduce a novel multimodality software platform dedicated to cardiovascular diagnosis and therapy guidance: MUSIC. This platform was created to improve the image-guided cardiovascular interventional procedures and is a robust platform for AI/Deep Learning, image analysis and modelling in a newly created consortium with international hospitals. It also helps our researchers develop new techniques and have a better understanding of the cardiac tissue properties and physiological signals. Thus, this extraction of quantitative information from medical data leads to more repeatable and reliable medical diagnoses.
dc.description.sponsorshipL'Institut de Rythmologie et modélisation Cardiaque
dc.description.sponsorshipPlateforme multi-modale d'exploration en cardiologie - ANR-11-EQPX-0030
dc.language.isoen
dc.publisherMultidisciplinary digital publishing institute (MDPI)
dc.subject.encardiac imaging
dc.subject.enmultimodal
dc.subject.enelectrophysiology
dc.subject.endeep learning
dc.subject.enbiophysical modelling
dc.subject.eninverse problems
dc.title.enMUSIC: Cardiac Imaging, Modelling and Visualisation Software for Diagnosis and Therapy
dc.typeArticle de revue
dc.identifier.doi10.3390/app12126145
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale
dc.subject.halInformatique [cs]/Imagerie médicale
dc.description.sponsorshipEuropeElectrostructural Tomography - Towards Multiparametric Imaging of Cardiac Electrical Disorders
bordeaux.journalApplied Sciences
bordeaux.page6145
bordeaux.volume12
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.issue12
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-03934424
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-03934424v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Applied%20Sciences&rft.date=2022-06&rft.volume=12&rft.issue=12&rft.spage=6145&rft.epage=6145&rft.eissn=2076-3417&rft.issn=2076-3417&rft.au=MERLE,%20Mathilde&COLLOT,%20Florent&CASTELNEAU,%20Julien&MIGERDITICHAN,%20Pauline&JUHOOR,%20Mehdi&rft.genre=article


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