Visual Computing in Biology and Medicine: A multi-front eikonal model of cardiac electrophysiology for interactive simulation of radio-frequency ablation

Authors:
E. Pernod;M. Sermesant;E. Konukoglu;J. Relan;H. Delingette;N. Ayache
Affiliations:
INRIA, Asclepios Team, 2004 route des Lucioles, 06902 Sophia-Antipolis, France;INRIA, Asclepios Team, 2004 route des Lucioles, 06902 Sophia-Antipolis, France and King's College London, St Thomas' Hospital, UK;Microsoft Research, Cambridge, UK;INRIA, Asclepios Team, 2004 route des Lucioles, 06902 Sophia-Antipolis, France;INRIA, Asclepios Team, 2004 route des Lucioles, 06902 Sophia-Antipolis, France;INRIA, Asclepios Team, 2004 route des Lucioles, 06902 Sophia-Antipolis, France
Venue:
Computers and Graphics
Year:
2011

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Abstract

Virtual reality-based therapy simulation meets a growing interest from the medical community due to its potential impact for the training of medical residents and the planning of therapies. However, computer models of the human anatomy are often very computationally demanding, thus incompatible with the constraints of such interactive simulations. In this paper, we propose a fast model of the cardiac electrophysiology based on an eikonal formulation implemented with an anisotropic fast marching method. We demonstrate the use of this model in the context of a simulator of radio-frequency ablation of cardiac arrhythmia from patient-specific medical imaging data. Indeed, this therapy can be very effective for patients but still suffers from a rather low success rate. Being able to test different ablation strategies on a patient-specific model can have a great clinical impact. In our setting, thanks to a haptic 3D user interface, the user can interactively measure the local extracellular potential, pace locally the myocardium or simulate the burning of cardiac tissue as done in radio-frequency ablation interventions.