ArticleJournal of the American College of Cardiology2012
Virtual electrophysiological study in a 3-dimensional cardiac magnetic resonance imaging model of porcine myocardial infarction.
Article in Journal of the American College of Cardiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 40 citations in OpenAlex.
- Effects of Purkinje Fiber Conduction Block on Cardiac Pump Function: Computational Modeling Study.Bioengineering (Basel, Switzerland) · 2026Article
- Current trends in virtual electrophysiology use for risk stratification and treatment of ventricular arrhythmias.Frontiers in cardiovascular medicine · 2025Review
- Fully Automatic Scar Segmentation for Late Gadolinium Enhancement MRI Images in Left Ventricle with Myocardial Infarction.Current medical science · 2021Article
- How personalized heart modeling can help treatment of lethal arrhythmias: A focus on ventricular tachycardia ablation strategies in post-infarction patients.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- Factors Promoting Conduction Slowing as Substrates for Block and Reentry in Infarcted Hearts.Biophysical journal · 2019Article
- Optimal contrast-enhanced MRI image thresholding for accurate prediction of ventricular tachycardia using ex-vivo high resolution models.Computers in biology and medicine · 2018Article
- Modeling the Electrophysiological Properties of the Infarct Border Zone.Frontiers in physiology · 2018Review
- Spatial reproducibility of complex fractionated atrial electrogram depending on the direction and configuration of bipolar electrodes: an in-silico modeling study.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2016Article
- Principles and techniques of imaging in identifying the substrate of ventricular arrhythmia.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2016Review
- Three-dimensional cardiac computational modelling: methods, features and applications.Biomedical engineering online · 2015Review
- Article
- Accuracy of prediction of infarct-related arrhythmic circuits from image-based models reconstructed from low and high resolution MRI.Frontiers in physiology · 2015Article
- Methodology for image-based reconstruction of ventricular geometry for patient-specific modeling of cardiac electrophysiology.Progress in biophysics and molecular biology · 2014Article
- Images as drivers of progress in cardiac computational modelling.Progress in biophysics and molecular biology · 2014Review
- 3D cardiac microvessels embolization imaging based on X-ray phase contrast imaging.Biomedical engineering online · 2014Article
- Exploring susceptibility to atrial and ventricular arrhythmias resulting from remodeling of the passive electrical properties in the heart: a simulation approach.Frontiers in physiology · 2014Review
- Feasibility of image-based simulation to estimate ablation target in human ventricular arrhythmia.Heart rhythm · 2013Article
- In the spotlight: Cardiovascular engineering.IEEE reviews in biomedical engineering · 2013Review
- Tachycardia in post-infarction hearts: insights from 3D image-based ventricular models.PloS one · 2013Article
- Computational cardiology: the heart of the matter.ISRN cardiology · 2012Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
objectivesThis study sought to test the hypothesis that "virtual" electrophysiological studies (EPS) on an anatomic platform generated by 3-dimensional magnetic resonance imaging reconstruction of the left ventricle can reproduce the reentrant circuits of induced ventricular tachycardia (VT) in a porcine model of myocardial infarction.
backgroundDelayed-enhancement magnetic resonance imaging has been used to characterize myocardial infarction and "gray zones," which are thought to reflect heterogeneous regions of viable and nonviable myocytes.
methodsMyocardial infarction by coronary artery occlusion was induced in 8 pigs. After a recovery period, 3-dimensional cardiac magnetic resonance images were obtained from each pig in vivo. Normal areas, gray zones, and infarct cores were classified based on voxel intensity. In the computer model, gray zones were assigned slower conduction and longer action potential durations than those for normal myocardium. Virtual EPS was performed and compared with results of actual in vivo programmed stimulation and noncontact mapping.
resultsThe left ventricular volumes ranged from 97.8 to 166.2 cm(3), with 4.9% to 17.5% of voxels classified as infarct zones. Six of the 7 pigs in which VT developed during actual EPS were also inducible with virtual EPS. Four of the 6 pigs that had simulated VT had reentrant circuits that approximated the circuits seen with noncontact mapping, whereas the remaining 2 had similar circuits but propagating in opposite directions.
conclusionsThis initial study demonstrates the feasibility of applying a mathematical model to magnetic resonance imaging reconstructions of the left ventricle to predict VT circuits. Virtual EPS may be helpful to plan catheter ablation strategies or to identify patients who are at risk of future episodes of VT.
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