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Patient-Tailored In Silico 3D Simulations and Models From Electroanatomical Maps of the Left Atrium

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dc.affiliation.dptoUC3M. Departamento de Teoría de la Señal y Comunicacioneses
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Tratamiento de la Señal y Aprendizaje (GTSA)es
dc.contributor.authorRíos Muñoz, Gonzalo Ricardo
dc.contributor.authorRocher, Sara
dc.contributor.authorArtés Rodríguez, Antonio
dc.contributor.authorArenal, Ángel
dc.contributor.authorSaiz, Javier
dc.contributor.authorSánchez, Carlos
dc.contributor.funderComunidad de Madrides
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2022-05-16T16:08:15Z
dc.date.available2022-05-16T16:08:15Z
dc.date.issued2019-06-24
dc.descriptionProceeding of 2018 Computing in Cardiology Conference (CinC), September 23-26, 2018, Maastricht, The Netherlandsen
dc.description.abstractThe mechanisms underlying atrial fibrillation (AF) are still under debate, making treatments for this arrhythmia remain suboptimal, with most treatments applied in a standard fashion with no patient personalization. Recent technological advances in electroanatomical mapping (EAM) using multi-electrode catheter allow the physicians to better characterize the substrate, thanks to a better spatial resolution and higher density of acquisition points. Taking advantage of this technology, we describe a workflow to build personalized electrophysiological atrial models for AF patients. We seek to better predict the outcome of a treatment and study the AF problem in a more specific scenario. We generated physiological 3D models from the EAM data using hexahedral meshing of element size 300μm, and added fiber orientation based on a generic model. We used the local activation time (LAT) maps performed in sinus rhythm (SR) to estimate the conduction velocity (CV) of the regions in the atrium with a new method that combines the LATs of neighboring tissue as the average CV of triplets of points. We also characterized the cellular model by Maleckar et al. in terms of longitudinal conductivity and CV to personalize the atrial models. We were able to simulate SR and AF scenarios on the personalized models, and we generated a database of atrial models for future analysis.en
dc.description.sponsorshipThis work has been partly supported by MINECO/FEDER (ADVENTURE, id. TEC2015-69868-C2-1-R), Co munidad de Madrid (CASI-CAM-CM, id. S2013/ICE-2845), Centro de Investigación Biomédica en Red (CIBER), proyecto DPI2016-75458, and the Programa Prometeo, Generalitat Valenciana, Award Number: 2016/088.en
dc.description.statusPublicadoes
dc.format.extent4
dc.identifier.bibliographicCitation2018 Computing in Cardiology Conference (CinC 2018), Maastricht, Netherlands, 23-26 September, 2018 (pp. 1-4). Estados Unidos: IEEE.en
dc.identifier.doihttps://doi.org/10.22489/CinC.2018.183
dc.identifier.isbn978-1-7281-0924-4 Print on Demand (PoD)
dc.identifier.isbn78-1-7281-0958-9 (Online)
dc.identifier.issn2325-8861 Print on Demand (PoD)
dc.identifier.issn2325-887X (Online)
dc.identifier.publicationfirstpage1
dc.identifier.publicationlastpage4
dc.identifier.publicationtitle2018 Computing in Cardiology Conference (CinC 2018), Maastricht, Netherlands, 23-26 September, 2018.en
dc.identifier.urihttps://hdl.handle.net/10016/34818
dc.identifier.uxxiCC/0000033333
dc.language.isoengen
dc.publisherIEEEen
dc.relation.eventdateSeptember 23-26, 2018en
dc.relation.eventplaceMaastricht, Países Bajos
dc.relation.eventtitle2018 Computing in Cardiology Conference (CinC 2018)en
dc.relation.projectIDGobierno de España. TEC2015-69868-C2-1-R/ADVENTUREes
dc.relation.projectIDComunidad de Madrid. S2013/ICE-2845es
dc.relation.projectIDGobierno de España. DPI2016-75458es
dc.rights© 2018, IEEEen
dc.rights.accessRightsopen accessen
dc.subject.ecienciaBiología y Biomedicinaes
dc.subject.otherMathematical modeles
dc.subject.otherSolid modelingen
dc.subject.otherGeometryen
dc.subject.otherBiological system modelingen
dc.subject.otherThree-dimensional displaysen
dc.subject.otherCathetersen
dc.subject.otherPhysiologyen
dc.titlePatient-Tailored In Silico 3D Simulations and Models From Electroanatomical Maps of the Left Atriumen
dc.typeconference paper*
dc.type.hasVersionAM*
dspace.entity.typePublication
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