Determining anatomical and electrophysiological detail requirements for computational ventricular models of porcine myocardial infarction.

ABSTRACT:

Background

Computational models of the heart built from cardiac MRI and electrophysiology (EP) data have shown promise for predicting the risk of and ablation targets for myocardial infarction (MI) related ventricular tachycardia (VT), as well as to predict paced activation sequences in heart failure patients. However, most recent studies have relied on low resolution imaging data and little or no EP personalisation, which may affect the accuracy of model-based predictions.

Objective

To investigate the impact of model anatomy, MI scar morphology, and EP personalisation strategies on paced activation sequences and VT inducibility to determine the level of detail required to make accurate model-based predictions.

Methods

Imaging and EP data were acquired from a cohort o

SUBMITTER: Mendonca Costa C 

PROVIDER: S-EPMC8819160 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature