Author:
Berg Lucas Arantes,Rocha Bernardo Martins,Oliveira Rafael Sachetto,Sebastian Rafael,Rodriguez Blanca,de Queiroz Rafael Alves Bonfim,Cherry Elizabeth M.,dos Santos Rodrigo Weber
Abstract
AbstractCardiac 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.
Funder
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Generalitat Valenciana
Wellcome Trust Fellowship in Basic Biomedical Sciences
CompBioMed 2 Centre of Excellence in Computational Biomedicine
EPSRC-funded project CompBiomedX
National Science Foundation
Empresa Brasileira de Serviços Hospitalares
Publisher
Springer Science and Business Media LLC