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Estimation of Purkinje trees from electro-anatomical mapping of the left ventricle using minimal cost geodesics

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dc.contributor.author Cárdenes, Rubén
dc.contributor.author Sebastián Aguilar, Rafael, 1978-
dc.contributor.author Soto-Iglesias, David
dc.contributor.author Berruezo, Antonio
dc.contributor.author Camara, Oscar
dc.date.accessioned 2023-11-21T06:54:02Z
dc.date.available 2023-11-21T06:54:02Z
dc.date.issued 2015
dc.identifier.citation Cárdenes R, Sebastian R, Soto-Iglesias D, Berruezo A, Camara O. Estimation of Purkinje trees from electro-anatomical mapping of the left ventricle using minimal cost geodesics. Medical Image Analysis. 2015 Aug;24(1):52-62. DOI: 10.1016/j.media.2015.05.007
dc.identifier.issn 1361-8415
dc.identifier.uri http://hdl.handle.net/10230/58344
dc.description.abstract The electrical activation of the heart is a complex physiological process that is essential for the understanding of several cardiac dysfunctions, such as ventricular tachycardia (VT). Nowadays, patient-specific activation times on ventricular chambers can be estimated from electro-anatomical maps, providing crucial information to clinicians for guiding cardiac radio-frequency ablation treatment. However, some relevant electrical pathways such as those of the Purkinje system are very difficult to interpret from these maps due to sparsity of data and the limited spatial resolution of the system. We present here a novel method to estimate these fast electrical pathways from the local activations maps (LATs) obtained from electro-anatomical maps. The location of Purkinje-myocardial junctions (PMJs) is estimated considering them as critical points of a distance map defined by the activation maps, and then minimal cost geodesic paths are computed on the ventricular surface between the detected junctions. Experiments to validate the proposed method have been carried out in simplified and realistic simulated data, showing good performance on recovering the main characteristics of simulated Purkinje networks (e.g. PMJs). A feasibility study with real cases of fascicular VT was also performed, showing promising results.
dc.description.sponsorship This work is partially funded by the Sub-programa de Proyectos de Investigación en Salud Instituto de Salud Carlos III, Spain (FIS - PI11/01709), by Spanish Ministry of Economy and Competitiveness (TIN2011-28067 and TIN2012-35874), and by eTorso project (GV/2013/094) from Generalitat Valenciana. The authors thank specially Dr. Bart Bijnens for its comments and suggestions, and Dr. David Andreu and Dr. Juan Fernandez-Armenta for their assistance in the clinical data collection.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher Elsevier
dc.relation.ispartof Medical Image Analysis. 2015 Aug;24(1):52-62
dc.rights © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title Estimation of Purkinje trees from electro-anatomical mapping of the left ventricle using minimal cost geodesics
dc.type info:eu-repo/semantics/article
dc.identifier.doi http://dx.doi.org/10.1016/j.media.2015.05.007
dc.subject.keyword Purkinje system
dc.subject.keyword Minimal cost geodesic paths
dc.subject.keyword Fast marching
dc.subject.keyword Singular points
dc.subject.keyword Electro-anatomical mapping
dc.subject.keyword Cardiac arrhythmias
dc.subject.keyword Fascicular ventricular tachycardia
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2011-28067
dc.relation.projectID info:eu-repo/grantAgreement/ES/3PN/TIN2012-35874
dc.rights.accessRights info:eu-repo/semantics/openAccess
dc.type.version info:eu-repo/semantics/publishedVersion

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