Published November 23, 2018
| Version v1
Journal article
Fast Personalized Electrophysiological Models from CT Images for Ventricular Tachycardia Ablation Planning
Contributors
Others:
- COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)
- E-Patient : Images, données & mOdèles pour la médeciNe numériquE (EPIONE) ; Inria Sophia Antipolis - Méditerranée (CRISAM) ; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
- IHU-LIRYC ; Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux]
Description
Aims Clinical application of patient-specific cardiac computer models requires fast and robust processing pipelines that can be seamlessly integrated into clinical workflows. We aim at building such a pipeline from computed tomography (CT) images to personalised cardiac electrophysiology (EP) model. The simulation output could be useful in the context of post-infarct ventricular tachycardia (VT) radio-frequency ablation (RFA) planning for pre-operative targets prediction.
Abstract
International audienceAdditional details
Identifiers
- URL
- https://hal.inria.fr/hal-01875533
- URN
- urn:oai:HAL:hal-01875533v3
Origin repository
- Origin repository
- UNICA