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

TitleUnderstanding the mechanisms amenable to CRT response: from pre-operative multimodal image data to patient-specific computational models.
Publication TypeJournal Article
Year of Publication2013
AuthorsTobon-Gomez, C, Duchateau, N, Sebastian, R, Marchesseau, S, Camara, O, Donal, E, De Craene, M, Pashaei, A, Relan, J, Steghofer, M, Lamata, P, Delingette, H, Duckett, S, Garreau, M, Hernandez, A, Rhode, KS, Sermesant, M, Ayache, N, Leclercq, C, Razavi, R, Smith, NP, Frangi, AF
JournalMed Biol Eng Comput
Date Published2013 Feb 21
ISSN1741-0444
Abstract

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.

DOI10.1007/s11517-013-1044-7
Alternate JournalMed Biol Eng Comput
PubMed ID23430328