Image-based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms

Abstract : Goal: In this work, we used in silico patient-specific models constructed from 3D delayed-enhanced magnetic resonance imaging (DE-MRI) to simulate intracardiac electrograms (EGM). These included electrically abnormal electrograms as these are potential radiofrequency ablation (RFA) targets. Methods: We generated signals with distinguishable macroscopic normal and abnormal characteristics by constructing MRI-based patient-specific structural heart models and by solving the simplified biophysical Mitchell-Schaeffer model of cardiac electrophysiology. Then, we simulated intracardiac electrograms by modelling a recording catheter using a dipole approach. Results: Qualitative results show that simulated EGM resemble clinical signals. Additionally, the quantitative assessment of signal features extracted from the simulated EGM showed statistically significant differences (p<0.0001) between the distributions of normal and abnormal electrograms, similarly to what is observed on clinical data. Conclusion: We demonstrate the feasibility of coupling simplified cardiac EP models with imaging data to generate intracardiac EMG. Significance: These results are a step forward in the direction of the pre-operative and non-invasive identification of ablation targets to guide RFA therapy.
Type de document :
Article dans une revue
IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2016, PP (99), 〈10.1109/TBME.2016.2562918〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01313615
Contributeur : Rocio Cabrera Lozoya <>
Soumis le : mercredi 11 mai 2016 - 09:22:53
Dernière modification le : mercredi 30 mai 2018 - 13:56:03
Document(s) archivé(s) le : mardi 15 novembre 2016 - 23:45:35

Fichier

HALfile.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Rocío Cabrera-Lozoya, Benjamin Berte, Hubert Cochet, Pierre Jaïs, Nicholas Ayache, et al.. Image-based Biophysical Simulation of Intracardiac Abnormal Ventricular Electrograms. IEEE Transactions on Biomedical Engineering, Institute of Electrical and Electronics Engineers, 2016, PP (99), 〈10.1109/TBME.2016.2562918〉. 〈hal-01313615〉

Partager

Métriques

Consultations de la notice

281

Téléchargements de fichiers

311