A Multi-Front Eikonal Model of Cardiac Electrophysiology for Interactive Simulation of Radio-Frequency Ablation

Erik Pernod 1 Maxime Sermesant 1, 2, * Ender Konukoglu 3 Jatin Relan 1 Hervé Delingette 1, * Nicholas Ayache 1, *
* Corresponding author
1 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
2 Division of Imaging Sciences
3 Microsoft - Microsoft Research [Cambridge]
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 interactivesimulations. In this paper, we propose a fast model of the cardiacelectrophysiology 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-frequencyablation 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-frequencyablation interventions.
Document type :
Journal articles
Complete list of metadatas

Cited literature [34 references]  Display  Hide  Download
https://hal.inria.fr/inria-00616180
Contributor : Project-Team Asclepios <>
Submitted on : Tuesday, July 16, 2013 - 11:12:29 AM
Last modification on : Thursday, February 7, 2019 - 5:14:30 PM
Long-term archiving on : Thursday, October 17, 2013 - 2:50:12 AM

File

CG-VCBM-2011.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : inria-00616180, version 1

Collections

INRIA | TDS-MACS | SOFA

Citation

Erik Pernod, Maxime Sermesant, Ender Konukoglu, Jatin Relan, Hervé Delingette, et al.. A Multi-Front Eikonal Model of Cardiac Electrophysiology for Interactive Simulation of Radio-Frequency Ablation. Computers and Graphics, Elsevier, 2011, 35, pp.431--440. ⟨inria-00616180⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

634

Files downloads

546

Contact


archive-ouverte@inria.fr