Literature DB >> 21926012

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

Mihaela Pop1, Maxime Sermesant, Tommaso Mansi, Eugene Crystal, Sudip Ghate, Jean-Marc Peyrat, Ilan Lashevsky, Beiping Qiang, Elliot McVeigh, Nicholas Ayache, Graham A Wright.   

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 <1  mm(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 273  ms, compared to a recorded VT of 250  ms).

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Year:  2011        PMID: 21926012     DOI: 10.1109/TBME.2011.2168395

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  14 in total

1.  Role of 3-Dimensional Architecture of Scar and Surviving Tissue in Ventricular Tachycardia: Insights From High-Resolution Ex Vivo Porcine Models.

Authors:  Farhad Pashakhanloo; Daniel A Herzka; Henry Halperin; Elliot R McVeigh; Natalia A Trayanova
Journal:  Circ Arrhythm Electrophysiol       Date:  2018-06

2.  Methodology for image-based reconstruction of ventricular geometry for patient-specific modeling of cardiac electrophysiology.

Authors:  A Prakosa; P Malamas; S Zhang; F Pashakhanloo; H Arevalo; D A Herzka; A Lardo; H Halperin; E McVeigh; N Trayanova; F Vadakkumpadan
Journal:  Prog Biophys Mol Biol       Date:  2014-08-19       Impact factor: 3.667

Review 3.  Imaging-Based Simulations for Predicting Sudden Death and Guiding Ventricular Tachycardia Ablation.

Authors:  Natalia A Trayanova; Farhad Pashakhanloo; Katherine C Wu; Henry R Halperin
Journal:  Circ Arrhythm Electrophysiol       Date:  2017-07

Review 4.  Real-time MRI guidance of cardiac interventions.

Authors:  Adrienne E Campbell-Washburn; Mohammad A Tavallaei; Mihaela Pop; Elena K Grant; Henry Chubb; Kawal Rhode; Graham A Wright
Journal:  J Magn Reson Imaging       Date:  2017-05-11       Impact factor: 4.813

5.  Virtual electrophysiological study in a 3-dimensional cardiac magnetic resonance imaging model of porcine myocardial infarction.

Authors:  Jason Ng; Jason T Jacobson; Justin K Ng; David Gordon; Daniel C Lee; James C Carr; Jeffrey J Goldberger
Journal:  J Am Coll Cardiol       Date:  2012-05-23       Impact factor: 24.094

Review 6.  Computational cardiology: how computer simulations could be used to develop new therapies and advance existing ones.

Authors:  Natalia A Trayanova; Thomas O'Hara; Jason D Bayer; Patrick M Boyle; Kathleen S McDowell; Jason Constantino; Hermenegild J Arevalo; Yuxuan Hu; Fijoy Vadakkumpadan
Journal:  Europace       Date:  2012-11       Impact factor: 5.214

7.  Optimal contrast-enhanced MRI image thresholding for accurate prediction of ventricular tachycardia using ex-vivo high resolution models.

Authors:  Dongdong Deng; Plamen Nikolov; Hermenegild J Arevalo; Natalia A Trayanova
Journal:  Comput Biol Med       Date:  2018-10-03       Impact factor: 4.589

Review 8.  Advances in modeling ventricular arrhythmias: from mechanisms to the clinic.

Authors:  Natalia A Trayanova; Patrick M Boyle
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-12-06

9.  Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation.

Authors:  Kathleen S McDowell; Fijoy Vadakkumpadan; Robert Blake; Joshua Blauer; Gernot Plank; Rob S MacLeod; Natalia A Trayanova
Journal:  J Electrocardiol       Date:  2012-09-19       Impact factor: 1.438

10.  Computational cardiology: the heart of the matter.

Authors:  Natalia A Trayanova
Journal:  ISRN Cardiol       Date:  2012-11-14
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