Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models - Université de Rennes Accéder directement au contenu
Article Dans Une Revue Medical and Biological Engineering and Computing Année : 2013

Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models

Jatin Relan
  • Fonction : Auteur
  • PersonId : 761727
  • IdRef : 167644211

Résumé

This manuscript describes our recent developments towards better understanding of the mechanisms amenable to cardiac resynchronization therapy response. We report the results from a full multimodal dataset corresponding to eight patients from the euHeart project. The datasets include echocardiography, MRI and electrophysiological studies. We investigate two aspects. The first one focuses on pre-operative multimodal image data. From 2D echocardiography and 3D tagged MRI images, we compute atlas based dyssynchrony indices. We complement these indices with presence and extent of scar tissue and correlate them with CRT response. The second one focuses on computational models. We use pre-operative imaging to generate a patient-specific computational model. We show results of a fully automatic personalized electromechanical simulation. By case-per-case discussion of the results, we highlight the potential and key issues of this multimodal pipeline for the understanding of the mechanisms of CRT response and a better patient selection.

Dates et versions

hal-00840037 , version 1 (01-07-2013)

Identifiants

Citer

Catalina Tobon-Gomez, Nicolas Duchateau, Rafael Sebastian, Stéphanie Marchesseau, Oscar Camara, et al.. Understanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models. Medical and Biological Engineering and Computing, 2013, pp.1--16. ⟨10.1007/s11517-013-1044-7⟩. ⟨hal-00840037⟩
161 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More