Enhanced optimization‑based method for the generation of patient‑specific models of Purkinje networks.

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorBerg, Lucas Arantes-
Autor(es): dc.creatorRocha, Bernardo Martins-
Autor(es): dc.creatorOliveira, Rafael Sachetto-
Autor(es): dc.creatorSebastian, Rafael-
Autor(es): dc.creatorRodriguez, Blanca-
Autor(es): dc.creatorQueiroz, Rafael Alves Bonfim de-
Autor(es): dc.creatorCherry, Elizabeth M.-
Autor(es): dc.creatorSantos, Rodrigo Weber dos-
Data de aceite: dc.date.accessioned2025-08-21T15:51:09Z-
Data de disponibilização: dc.date.available2025-08-21T15:51:09Z-
Data de envio: dc.date.issued2025-01-13-
Data de envio: dc.date.issued2025-01-13-
Data de envio: dc.date.issued2022-
Fonte completa do material: dc.identifierhttps://www.repositorio.ufop.br/handle/123456789/19517-
Fonte completa do material: dc.identifierhttps://doi.org/10.1038/s41598-023-38653-1-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1025785-
Descrição: dc.descriptionCardiac Purkinje networks are a fundamental part of the conduction system and are known to initiate a variety of cardiac arrhythmias. However, patient-specific modeling of Purkinje networks remains a challenge due to their high morphological complexity. This work presents a novel method based on optimization principles for the generation of Purkinje networks that combines geometric and activation accuracy in branch size, bifurcation angles, and Purkinje-ventricular-junction activation times. Three biventricular meshes with increasing levels of complexity are used to evaluate the performance of our approach. Purkinje-tissue coupled monodomain simulations are executed to evaluate the generated networks in a realistic scenario using the most recent Purkinje/ventricular human cellular models and physiological values for the Purkinje-ventricular-junction characteristic delay. The results demonstrate that the new method can generate patient-specific Purkinje networks with controlled morphological metrics and specified local activation times at the Purkinje-ventricular junctions.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsaberto-
Direitos: dc.rightsThis article is under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit ttp://creativecommons.org/licenses/by/4.0/. Fonte: PDF do artigo.-
Título: dc.titleEnhanced optimization‑based method for the generation of patient‑specific models of Purkinje networks.-
Aparece nas coleções:Repositório Institucional - UFOP

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