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dc.contributor.author | Barber Miralles, Fernando | |
dc.contributor.author | Langfield, P. | |
dc.contributor.author | Lozano Ibáñez, Miguel | |
dc.contributor.author | García Fernández, Ignacio | |
dc.contributor.author | Duchateau, J. | |
dc.contributor.author | Meleze, H. | |
dc.contributor.author | Haissaguerre, M. | |
dc.contributor.author | Vigmond, E. | |
dc.contributor.author | Sebastián Aguilar, Rafael | |
dc.date.accessioned | 2023-11-22T12:53:21Z | |
dc.date.available | 2023-11-22T12:53:21Z | |
dc.date.issued | 2021 | |
dc.identifier.uri | https://hdl.handle.net/10550/91327 | |
dc.description.abstract | The Purkinje system is a heart structure responsible for transmitting electrical impulses through the ventricles in a fast and coordinated way to trigger mechanical contraction. Estimating a patient-specific compatible Purkinje Network from an electro-anatomical map is a challenging task, that could help to improve models for electrophysiology simulations or provide aid in therapy planning, such as radiofrequency ablation. In this study, we present a methodology to inversely estimate a Purkinje network from a patient's electro-anatomical map. First, we carry out a simulation study to assess the accuracy of the method for different synthetic Purkinje network morphologies and myocardial junction densities. Second, we estimate the Purkinje network from a set of 28 electro-anatomical maps from patients, obtaining an optimal conduction velocity in the Purkinje network of 1.95 ± 0.25 m/s, together with the location of their Purkinje-myocardial junctions, and Purkinje network structure. Our results showed an average local activation time error of 6.8±2.2 ms in the endocardium. Finally, using the personalized Purkinje network, we obtained correlations higher than 0.85 between simulated and clinical 12-lead ECGs. | |
dc.language.iso | eng | |
dc.relation.ispartof | IEEE Transactions on Medical Imaging, 2021, vol. 40, num. 8, p. 2182-2194 | |
dc.source | F. Barber et al., "Estimation of Personalized Minimal Purkinje Systems From Human Electro-Anatomical Maps," in IEEE Transactions on Medical Imaging, vol. 40, no. 8, pp. 2182-2194, Aug. 2021, doi: 10.1109/TMI.2021.3073499. | |
dc.subject | informàtica | |
dc.subject | medicina informàtica | |
dc.title | Estimation of personalized minimal Purkinje systems from human electro-anatomical maps | |
dc.type | journal article | |
dc.date.updated | 2023-11-22T12:53:22Z | |
dc.identifier.doi | 10.1109/TMI.2021.3073499 | |
dc.identifier.idgrec | 148694 | |
dc.rights.accessRights | open access |