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A Multi-Front Eikonal Model of Cardiac Electrophysiology for Interactive Simulation of Radio-Frequency Ablation
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BibTeX
@MISC{Pernod_amulti-front,
author = {E. Pernod and M. Sermesant and E. Konukoglu and J. Relan and H. Delingette and N. Ayache},
title = {A Multi-Front Eikonal Model of Cardiac Electrophysiology for Interactive Simulation of Radio-Frequency Ablation},
year = {}
}
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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. Keywords: Medical interactive simulation, Modeling of the heart, Haptic device
Keyphrases
interactive simulation cardiac electrophysiology radio-frequency ablation multi-front eikonal model patient-specific model potential impact anisotropic fast-marching method patient-specific medical imaging data cardiac tissue radio-frequency ablation intervention user interface different ablation strategy medical resident human anatomy low success rate fast model cardiac arrhythmia therapy simulation medical community eikonal formulation medical interactive simulation great clinical impact local extracellular potential virtual reality computer model haptic device
