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Automatic estimation of Purkinje-Myocardial junction hot-spots from noisy endocardial samples: A simulation study

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Automatic estimation of Purkinje-Myocardial junction hot-spots from noisy endocardial samples: A simulation study

dc.contributor.author	Barber Miralles, Fernando
dc.contributor.author	García Fernández, Ignacio
dc.contributor.author	Lozano Ibáñez, Miguel
dc.contributor.author	Sebastián Aguilar, Rafael
dc.date.accessioned	2023-11-23T13:37:16Z
dc.date.available	2023-11-23T13:37:16Z
dc.date.issued	2018
dc.identifier.uri	https://hdl.handle.net/10550/91377
dc.description.abstract	The reconstruction of the ventricular cardiac conduction system (CCS) from patient-specific data is a challenging problem. High-resolution imaging techniques have allowed only the segmentation of proximal sections of the CCS from images acquired ex vivo. In this paper, we present an algorithm to estimate the location of a set of Purkinje-myocardial junctions (PMJs) from electro-anatomical maps, as those acquired during radio-frequency ablation procedures. The method requires a mesh representing the myocardium with local activation time measurements on a subset of nodes. We calculate the backwards propagation of the electrical signal from the measurement points to all the points in the mesh to define a set of candidate PMJs that is iteratively refined. The algorithm has been tested on several Purkinje network configurations, with simulated activation maps, subject to different error amplitudes. The results show that the method is able to build a set of PMJs that explain the observed activation map for different synthetic CCS configurations. In the tests, the average error in the predicted activation time is below the amplitude of the error applied to the data.
dc.language.iso	eng
dc.relation.ispartof	International Journal For Numerical Methods In Biomedical Engineering, 2018, vol. 34, num. 7, p. 1-15
dc.source	Barber Miralles, Fernando, García Fernández, Ignacio, Lozano Ibáñez, Miguel, Sebastián Aguilar, Rafael (2018). Automatic estimation of Purkinje-Myocardial junction hot-spots from noisy endocardial samples: A simulation study. International Journal For Numerical Methods In Biomedical Engineering, 34 7 1 15. https://doi.org/10.1002/cnm.2988
dc.subject	medicina informàtica
dc.subject	sistema cardiovascular
dc.title	Automatic estimation of Purkinje-Myocardial junction hot-spots from noisy endocardial samples: A simulation study
dc.type	journal article
dc.date.updated	2023-11-23T13:37:16Z
dc.identifier.doi	10.1002/cnm.2988
dc.identifier.idgrec	126479
dc.rights.accessRights	open access