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

Cardiac 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 opt...

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Bibliographic Details
Published in:Scientific reports 2023-07, Vol.13 (1), p.11788-11788, Article 11788
Main Authors: 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
Format: Article
Language:English
Subjects:
631/114
692/4019
Benchmarking
Cardiac arrhythmia
Cardiac Conduction System Disease
Computer science
Fractals
Geometry
Heart
Heart Conduction System
Heart Ventricles
Humanities and Social Sciences
Humans
Methods
Morphology
multidisciplinary
Optimization
Physiology
Science
Science (multidisciplinary)
Simulation
Ventricle
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Summary:Cardiac 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.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-023-38653-1