A 3D MRI-based cardiac computer model to study arrhythmia and its in-vivo experimental validation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The aim of this work was to develop a simple and fast 3D MRI-based computer model of arrhythmia inducibility in porcine hearts with chronic infarct scar, and to further validate it using electrophysiology (EP) measures obtained in-vivo. The heart model was built from MRI scans (with voxel size smaller than 1mm3) and had fiber directions extracted from diffusion tensor DT-MRI. We used a macroscopic model that calculates the propagation of action potential (AP) after application of a train of stimuli, with location and timing replicating precisely the stimulation protocol used in the in-vivo EP study. Simulation results were performed for two infarct hearts: one with non-inducible and the other with inducible ventricular tachycardia (VT), successfully predicting the study outcome like in the in-vivo cases; for the inducible heart, the average predicted VT cycle length was 273ms, compared to a recorded VT of approximately 250ms. We also generated synthetic fibers for each heart and found the associated helix angle whose transmural variation (in healthy zones) from endo- to epicardium gave the smallest difference (i.e., approx. 41°) when compared to the helix angle corresponding to fibers from DW-MRI. Mean differences between activation times computed using DT-MRI fibers and using synthetic fibers for the two hearts were 6 ms and 11 ms, respectively.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages195-205
Number of pages11
Volume6666 LNCS
DOIs
StatePublished - 2011
Event6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011 - New York City, NY, United States
Duration: May 25 2011May 27 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6666 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011
CountryUnited States
CityNew York City, NY
Period5/25/115/27/11

Fingerprint

Arrhythmia
Experimental Validation
Computer Model
Cardiac
Magnetic resonance imaging
Ventricular Tachycardia
Fiber
Electrophysiology
Synthetic fibers
Helix
Fibers
Corresponding angles
Cycle Length
Action Potential
Voxel
Tensors
Heart
Activation
Timing
Tensor

Keywords

  • cardiac MR imaging
  • computer modelling
  • electrophysiology

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Pop, M., Sermesant, M., Peyrat, J. M., Crystal, E., Ghate, S., Mansi, T., ... Wright, G. A. (2011). A 3D MRI-based cardiac computer model to study arrhythmia and its in-vivo experimental validation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6666 LNCS, pp. 195-205). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6666 LNCS). https://doi.org/10.1007/978-3-642-21028-0_25

A 3D MRI-based cardiac computer model to study arrhythmia and its in-vivo experimental validation. / Pop, Mihaela; Sermesant, Maxime; Peyrat, Jean Marc; Crystal, Eugene; Ghate, Sudip; Mansi, Tommaso; Lashevsky, Ilan; Qiang, Beiping; McVeigh, Elliot R.; Ayache, Nicholas; Wright, Graham A.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6666 LNCS 2011. p. 195-205 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6666 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pop, M, Sermesant, M, Peyrat, JM, Crystal, E, Ghate, S, Mansi, T, Lashevsky, I, Qiang, B, McVeigh, ER, Ayache, N & Wright, GA 2011, A 3D MRI-based cardiac computer model to study arrhythmia and its in-vivo experimental validation. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 6666 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6666 LNCS, pp. 195-205, 6th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2011, New York City, NY, United States, 5/25/11. https://doi.org/10.1007/978-3-642-21028-0_25
Pop M, Sermesant M, Peyrat JM, Crystal E, Ghate S, Mansi T et al. A 3D MRI-based cardiac computer model to study arrhythmia and its in-vivo experimental validation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6666 LNCS. 2011. p. 195-205. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-21028-0_25
Pop, Mihaela ; Sermesant, Maxime ; Peyrat, Jean Marc ; Crystal, Eugene ; Ghate, Sudip ; Mansi, Tommaso ; Lashevsky, Ilan ; Qiang, Beiping ; McVeigh, Elliot R. ; Ayache, Nicholas ; Wright, Graham A. / A 3D MRI-based cardiac computer model to study arrhythmia and its in-vivo experimental validation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6666 LNCS 2011. pp. 195-205 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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