Fast personalized electrophysiological models from computed tomography images for ventricular tachycardia ablation planning
Author:
Affiliation:
1. Université Côte d’Azur, Inria, Epione, Sophia Antipolis, France & Liryc Institute, Bordeaux, France
2. Liryc Institute, Bordeaux, France
3. Université Côte d’Azur, Inria, Epione, Sophia Antipolis, France
Funder
ERC
ECSTATIC
Equipex MUSIC
IHU LIRYC
Publisher
Oxford University Press (OUP)
Subject
Physiology (medical),Cardiology and Cardiovascular Medicine
Link
http://academic.oup.com/europace/article-pdf/20/suppl_3/iii94/26708376/euy228.pdf
Reference20 articles.
1. Patient-specific cardiovascular computational modeling: diversity of personalization and challenges;Gray;J Cardiovasc Transl Res,2018
2. Three-dimensional cardiac computational modelling: methods, features and applications;Lopez-Perez;Biomed Eng Online,2015
3. Biophysical modeling predicts ventricular tachycardia inducibility and circuit morphology: a combined clinical validation and computer modeling approach;Chen;J Cardiovasc Electrophysiol,2016
4. Image-based biophysical simulation of intracardiac abnormal ventricular electrograms;Cabrera-Lozoya;IEEE Trans Biomed Eng,2017
5. Arrhythmia risk stratification of patients after myocardial infarction using personalized heart models;Arevalo;Nat Commun,2016
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