RT Conference Proceedings
T1 Patient-Tailored In Silico 3D Simulations and Models From Electroanatomical Maps of the Left Atrium
A1 Ríos Muñoz, Gonzalo Ricardo
A1 Rocher, Sara
A1 Artés Rodríguez, Antonio
A1 Arenal, Ángel
A1 Saiz, Javier
A1 Sánchez, Carlos
AB The mechanisms underlying atrial fibrillation (AF) are still under debate, making treatments for this arrhythmia remain suboptimal, with most treatments applied in a standard fashion with no patient personalization. Recent technological advances in electroanatomical mapping (EAM) using multi-electrode catheter allow the physicians to better characterize the substrate, thanks to a better spatial resolution and higher density of acquisition points. Taking advantage of this technology, we describe a workflow to build personalized electrophysiological atrial models for AF patients. We seek to better predict the outcome of a treatment and study the AF problem in a more specific scenario. We generated physiological 3D models from the EAM data using hexahedral meshing of element size 300μm, and added fiber orientation based on a generic model. We used the local activation time (LAT) maps performed in sinus rhythm (SR) to estimate the conduction velocity (CV) of the regions in the atrium with a new method that combines the LATs of neighboring tissue as the average CV of triplets of points. We also characterized the cellular model by Maleckar et al. in terms of longitudinal conductivity and CV to personalize the atrial models. We were able to simulate SR and AF scenarios on the personalized models, and we generated a database of atrial models for future analysis.
PB IEEE
SN 978-1-7281-0924-4 Print on Demand (PoD)
SN 78-1-7281-0958-9 (Online)
SN 2325-8861 Print on Demand (PoD)
SN 2325-887X (Online)
YR 2019
FD 2019-06-24
LK https://hdl.handle.net/10016/34818
UL https://hdl.handle.net/10016/34818
LA eng
NO Proceeding of 2018 Computing in Cardiology Conference (CinC), September 23-26, 2018, Maastricht, The Netherlands
NO This work has been partly supported by MINECO/FEDER (ADVENTURE, id. TEC2015-69868-C2-1-R), Co munidad de Madrid (CASI-CAM-CM, id. S2013/ICE-2845), Centro de Investigación Biomédica en Red (CIBER), proyecto DPI2016-75458, and the Programa Prometeo, Generalitat Valenciana, Award Number: 2016/088.
DS e-Archivo
RD 26 may. 2024