The Virtual Ventricular Wall: A Tool for Exploring Cardiac Propagation and Arrhythmogenesis |
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Authors: | Arun V Holden Oleg V Aslanidi Alan P Benson Richard H Clayton Graeme Halley Pan Li Wing Chiu Tong |
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Institution: | (1) Computational Biology Laboratory, Institute of Membrane and Systems Biology, University of Leeds, Leeds, LS2 9JT, UK;(2) Department of Computer Science, University of Sheffield, S1 4DP Sheffield, UK |
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Abstract: | Methods for the experimental and clinical investigation of cardiac arrhythmias are limited to inferring propagation within
the myocardium, from surface measurements, or from electrodes at a few sites within the cardiac wall. Biophysically and anatomically
detailed computational models of cardiac tissues offer a powerful way for studying the electrical propagation processes and
arrhythmias within the virtual heart. We use virtual tissues to study and visualise the effects of patho- and physiological
conditions, and pharmacological interventions on transmural propagation in the virtual ventricular walls. Class III drug actions
are quantitatively explained by changes induced in the transmural dispersion of action potential duration. We illustrate the
automated construction of a virtual anisotropic ventricle from Diffusion Tensor MRI for individual hearts, and use it to explore
mechanisms leading to ventricular fibrillation. The virtual ventricular wall provides an effective tool for exploring, evaluating
and visualising processes during the initiation and maintenance of ventricular arrhythmias. |
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Keywords: | cardiac arrhythmias Diffusion Tensor MRI Ventricular fibrillation (VF) ventricular wall virtual tissues |
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