Literature DB >> 21719141

An eikonal-diffusion solver and its application to the interpolation and the simulation of reentrant cardiac activations.

Vincent Jacquemet1.   

Abstract

Electrical propagation of the cardiac impulse in the myocardium can be described by the eikonal-diffusion equation. This equation governs the field of activation times in a domain where conduction properties are specified. This approach has been applied to knowledge-based interpolation of sparse measurements of activation times and to the creation of initial conditions for detailed ionic models of cardiac propagation. This paper presents the mathematical basis, matrix formulation, and compact Matlab implementation of an iterative finite-element solver (triangular meshes) for the eikonal-diffusion equation extended to reentrant activations, which automatically identifies the period of reentry and computes the resulting isochrones. An iterative algorithm is designed to perform Laplacian interpolation of reentrant activation maps to be used as initial estimate for the eikonal-diffusion solver. The performance of the algorithm is analyzed in test-case geometries (ventricular slice and simplified atrial surface model).
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2011        PMID: 21719141     DOI: 10.1016/j.cmpb.2011.05.003

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  6 in total

Review 1.  Computational modeling of the human atrial anatomy and electrophysiology.

Authors:  Olaf Dössel; Martin W Krueger; Frank M Weber; Mathias Wilhelms; Gunnar Seemann
Journal:  Med Biol Eng Comput       Date:  2012-06-21       Impact factor: 2.602

2.  Improved Visualization of Gastrointestinal Slow Wave Propagation Using a Novel Wavefront-Orientation Interpolation Technique.

Authors:  Terence P Mayne; Niranchan Paskaranandavadivel; Jonathan C Erickson; Gregory OGrady; Leo K Cheng; Timothy R Angeli
Journal:  IEEE Trans Biomed Eng       Date:  2018-02       Impact factor: 4.538

3.  Towards personalized clinical in-silico modeling of atrial anatomy and electrophysiology.

Authors:  Martin W Krueger; Walther H W Schulze; Kawal S Rhode; Reza Razavi; Gunnar Seemann; Olaf Dössel
Journal:  Med Biol Eng Comput       Date:  2012-10-16       Impact factor: 2.602

4.  Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model.

Authors:  Aurel Neic; Fernando O Campos; Anton J Prassl; Steven A Niederer; Martin J Bishop; Edward J Vigmond; Gernot Plank
Journal:  J Comput Phys       Date:  2017-10-01       Impact factor: 3.553

5.  Scalable and Accurate ECG Simulation for Reaction-Diffusion Models of the Human Heart.

Authors:  Mark Potse
Journal:  Front Physiol       Date:  2018-04-20       Impact factor: 4.566

6.  Atrial Fibrosis Hampers Non-invasive Localization of Atrial Ectopic Foci From Multi-Electrode Signals: A 3D Simulation Study.

Authors:  Eduardo Jorge Godoy; Miguel Lozano; Ignacio García-Fernández; Ana Ferrer-Albero; Rob MacLeod; Javier Saiz; Rafael Sebastian
Journal:  Front Physiol       Date:  2018-05-18       Impact factor: 4.566

  6 in total

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