Constructing Realistic Canine Bilayer Biatrial Mesh for the Modeling and Simulation of Atria Fibrillation

Mirabeau Saha*, Caroline Roney, Feng Xiong, Hubert Cochet, Stephanie Tan, Steven Niederer, Edward Vigmond, Stanley Nattel

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

An improved appreciation of the mechanisms underlying atrial fibrillation (AF) is essential for better arrhythmia management. A deeper understanding requires a full consideration of atrial geometry. Here, we develop the first anatomically accurate high-resolution canine atrial computational bilayer model for AF studies. Canine CT-scan imaging data were segmented and used to reconstruct the Bachmann's bundle (BB), the left atrium (LA) and right atrium (RA). The LA is dilated to obtain the second layer. The RA endocardial layer consists of the sinus node (SAN), the pectinate muscles (PMs) and the crista terminalis (CT). The Ramirez-Nattel-Courtemanche canine cell model was used to simulate electrical activity. Activation time (AT) and action potential duration (APD) were computed. The obtained bilayer mesh has high resolution with average edge length 276±58µm. Action potential propagation from the SAN was realistic and its path along CS presumes an important role of the CS in the initiation and maintenance of rotors during AF. The propagation time from SAN to PVs was 119 ms and APD90 was heterogeneous in the model. This new bilayer model with realistic geometry, combined with experimental data, will help to better understand AF and its underlying mechanisms, in order to develop better prognostic and therapeutic tools.

Original languageEnglish
Title of host publication2020 Computing in Cardiology, CinC 2020
PublisherIEEE Computer Society
ISBN (Electronic)9781728173825
DOIs
Publication statusPublished - 13 Sept 2020
Event2020 Computing in Cardiology, CinC 2020 - Rimini, Italy
Duration: 13 Sept 202016 Sept 2020

Publication series

NameComputing in Cardiology
Volume2020-September
ISSN (Print)2325-8861
ISSN (Electronic)2325-887X

Conference

Conference2020 Computing in Cardiology, CinC 2020
Country/TerritoryItaly
CityRimini
Period13/09/202016/09/2020

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