• DocumentCode
    1036628
  • Title

    Building maps of local apparent conductivity of the epicardium with a 2-D electrophysiological model of the heart

  • Author

    Moreau-Villeger, V. ; Delingette, H. ; Sermesant, M. ; Ashikaga, Hiroshi ; McVeigh, E. ; Ayache, N.

  • Author_Institution
    INRIA
  • Volume
    53
  • Issue
    8
  • fYear
    2006
  • Firstpage
    1457
  • Lastpage
    1466
  • Abstract
    In this paper, we address the problem of estimating the parameters of an electrophysiological model of the heart from a set of electrical recordings. The chosen model is the reaction-diffusion model on the transmembrane potential proposed by Aliev and Panfilov. For this model of the transmembrane, we estimate a local apparent two-dimensional conductivity from a measured depolarization time distribution. First, we perform an initial adjustment including the choice of initial conditions and of a set of global parameters. We then propose a local estimation by minimizing the quadratic error between the depolarization time computed by the model and the measures. As a first step we address the problem on the epicardial surface in the case of an isotropic version of the Aliev and Panfilov model. The minimization is performed using Brent method without computing the derivative of the error. The feasibility of the approach is demonstrated on synthetic electrophysiological measurements. A proof of concept is obtained on real electrophysiological measures of normal and infarcted canine hearts
  • Keywords
    bioelectric potentials; biomembranes; electrical conductivity; electrocardiography; medical signal processing; minimisation; parameter estimation; physiological models; reaction-diffusion systems; 2-D electrophysiological model; Brent method; depolarization time distribution; epicardial surface; epicardium; infarcted canine hearts; local apparent conductivity; parameter estimation; quadratic error minimization; reaction-diffusion model; transmembrane potential; Cardiology; Conductivity measurement; Electric variables measurement; Electrophysiology; Heart; Inverse problems; Medical treatment; Parameter estimation; Radio frequency; Time measurement; Data assimilation; electrophysiology; heart modeling; inverse problem; parameter estimation; reaction-diffusion system; Action Potentials; Animals; Body Surface Potential Mapping; Computer Simulation; Diagnosis, Computer-Assisted; Dogs; Electric Conductivity; Heart Conduction System; Humans; Models, Cardiovascular; Myocardial Infarction; Pericardium;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2006.877794
  • Filename
    1658140