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Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes

hal.structure.identifierKing‘s College London
dc.contributor.authorRONEY, Caroline
hal.structure.identifierCenter for Computational Imaging and Simulation Technologies in Biomedicine [CISTIB]
dc.contributor.authorPASHAEI, Ali
dc.contributor.authorMEO, Marianna
hal.structure.identifierIHU-LIRYC
dc.contributor.authorDUBOIS, Rémi
hal.structure.identifierBiorobotics Lab [University of Washington]
dc.contributor.authorBOYLE, Patrick
hal.structure.identifierKing‘s College London
dc.contributor.authorTRAYANOVA, Natalia
hal.structure.identifierAgroParisTech
dc.contributor.authorCOCHET, Hubert
hal.structure.identifierKing‘s College London
dc.contributor.authorNIEDERER, Steven
hal.structure.identifierModélisation et calculs pour l'électrophysiologie cardiaque [CARMEN]
dc.contributor.authorVIGMOND, Edward
dc.date.accessioned2024-04-04T02:51:45Z
dc.date.available2024-04-04T02:51:45Z
dc.date.issued2019-07
dc.identifier.issn1361-8415
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/192004
dc.description.abstractEnIntegrating spatial information about atrial physiology and anatomy in a single patient from multimodal datasets, as well as generalizing these data across patients, requires a common coordinate system. In the atria, this is challenging due to the complexity and variability of the anatomy. We aimed to develop and validate a Universal Atrial Coordinate (UAC) system for the following applications: combination and assessment of multimodal data; comparison of spatial data across patients; 2D visualization; and construction of patient specific geometries to test mechanistic hypotheses. Left and right atrial LGE-MRI data were segmented and meshed. Two coordinates were calculated for each atrium by solving Laplace's equation, with boundary conditions assigned using five landmark points. The coordinate system was used to map spatial information between atrial meshes, including scalar fields measured using different mapping modalities, and atrial anatomic structures and fibre directions from a reference geometry. Average error in point transfer from a source mesh to a destination mesh and back again was less than 0.1 mm for the left atrium and 0.02 mm for the right atrium. Patient specific meshes were constructed using the coordinate system and phase singularity density maps from arrhythmia simulations were visualised in 2D. In conclusion, we have developed a universal atrial coordinate system allowing automatic registration of imaging and electroanatomic mapping data, 2D visualisation, and patient specific model creation.
dc.language.isoen
dc.publisherElsevier
dc.subject.enCoordinates
dc.subject.enAtria
dc.subject.enPersonalized computational modeling
dc.subject.enMapping
dc.title.enUniversal atrial coordinates applied to visualisation, registration and construction of patient specific meshes
dc.typeArticle de revue
dc.identifier.doi10.1016/j.media.2019.04.004
dc.subject.halSciences du Vivant [q-bio]/Ingénierie biomédicale
bordeaux.journalMedical Image Analysis
bordeaux.page65-75
bordeaux.volume55
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-02885620
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02885620v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Medical%20Image%20Analysis&rft.date=2019-07&rft.volume=55&rft.spage=65-75&rft.epage=65-75&rft.eissn=1361-8415&rft.issn=1361-8415&rft.au=RONEY,%20Caroline&PASHAEI,%20Ali&MEO,%20Marianna&DUBOIS,%20R%C3%A9mi&BOYLE,%20Patrick&rft.genre=article


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