• DocumentCode
    1335145
  • Title

    Stimulus Protocol Determines the Most Computationally Efficient Preconditioner for the Bidomain Equations

  • Author

    Bernabeu, Miguel O. ; Pathmanathan, Pras ; Pitt-Francis, Joe ; Kay, David

  • Author_Institution
    Oxford Univ. Comput. Lab., Oxford, UK
  • Volume
    57
  • Issue
    12
  • fYear
    2010
  • Firstpage
    2806
  • Lastpage
    2815
  • Abstract
    The efficient solution of the bidomain equations is a fundamental tool in the field of cardiac electrophysiology. When choosing a finite element discretization of the coupled system, one has to deal with the solution of a large, highly sparse system of linear equations. The conjugate gradient algorithm, along with suitable preconditioning, is the natural choice in this scenario. In this study, we identify the optimal preconditioners with respect to both stimulus protocol and mesh geometry. The results are supported by a comprehensive study of the mesh-dependence properties of several preconditioning techniques found in the literature. Our results show that when only intracellular stimulus is considered, incomplete LU factorization remains a valid choice for current cardiac geometries. However, when extracellular shocks are delivered to tissue, preconditioners that take into account the structure of the system minimize execution time and ensure mesh-independent convergence.
  • Keywords
    biological tissues; cellular biophysics; electrocardiography; finite element analysis; medical computing; mesh generation; algebraic multigrid technique; bidomain equations; biological tissue; cardiac electrophysiology; conjugate gradient algorithm; current cardiac geometry; extracellular shocks; finite element solution; incomplete LU factorization; intracellular stimulus; mesh geometry; mesh-dependence property; mesh-independent convergence; stimulus protocol; Computational efficiency; Convergence; Electric shock; Electrophysiology; Equations; Finite element methods; Mathematical model; Bidomain equations; computational efficiency; preconditioning; whole heart geometries; Algorithms; Anisotropy; Electrophysiologic Techniques, Cardiac; Finite Element Analysis; Heart; Humans; Linear Models; Models, Cardiovascular; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2010.2078817
  • Filename
    5585727