Correspondence between simple 3-D MRI-based computer models and in-vivo EP measurements in swine with chronic infarctions

Mihaela Pop, Maxime Sermesant, Tommaso Mansi, Eugene Crystal, Sudip Ghate, Jean Marc Peyrat, Ilan Lashevsky, Beiping Qiang, Elliot McVeigh, Nicholas Ayache, Graham A. Wright

Research output: Contribution to journalArticle

Abstract

The aim of this paper was to compare several in-vivo electrophysiological (EP) characteristics measured in a swine model of chronic infarct, with those predicted by simple 3-D MRI-based computer models built from ex-vivo scans (voxel size 3). Specifically, we recorded electroanatomical voltage maps (EAVM) in six animals, and ECG waves during induction of arrhythmia in two of these cases. The infarct heterogeneities (dense scar and border zone) as well as fiber directions were estimated using diffusion weighted DW-MRI. We found a good correspondence (r = 0.9) between scar areas delineated on the EAVM and MRI maps. For theoretical predictions, we used a simple two-variable macroscopic model and computed the propagation of action potential after application of a train of stimuli, with location and timing replicating the stimulation protocol used in the in-vivo EP study. Simulation results are exemplified for two hearts: one with noninducible ventricular tachycardia (VT), and another with a macroreentrant VT (for the latter, the average predicted VT cycle length was 273ms, compared to a recorded VT of 250ms).

Original languageEnglish (US)
Article number6020754
Pages (from-to)3483-3486
Number of pages4
JournalIEEE Transactions on Biomedical Engineering
Volume58
Issue number12 PART 2
DOIs
StatePublished - Dec 2011

Keywords

  • Arrhythmia
  • cardiac modeling
  • MRI

ASJC Scopus subject areas

  • Biomedical Engineering

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    Pop, M., Sermesant, M., Mansi, T., Crystal, E., Ghate, S., Peyrat, J. M., Lashevsky, I., Qiang, B., McVeigh, E., Ayache, N., & Wright, G. A. (2011). Correspondence between simple 3-D MRI-based computer models and in-vivo EP measurements in swine with chronic infarctions. IEEE Transactions on Biomedical Engineering, 58(12 PART 2), 3483-3486. [6020754]. https://doi.org/10.1109/TBME.2011.2168395