• DocumentCode
    2124424
  • Title

    Simulation study of the effect of modelling errors on the solution of inverse cardiac source imaging problem using realistic source patterns

  • Author

    Skipa, O. ; Sachse, FB ; Werner, CD ; Dössel, O.

  • Author_Institution
    Inst. fur Biomedizinische Technik, Karlsruhe Univ., Germany
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    41
  • Lastpage
    44
  • Abstract
    The effect of the modelling errors on the solution of the inverse problem of electrocardiography is investigated. The electrocardiographic signal is simulated using a finite element model of the human torso and realistic source patterns gained with a cellular automaton. Noise is added to simulated measurements and the inverse problem is solved. The modelling errors consist of false conductivity assumptions, changed anisotropy ratio of skeletal muscles and geometric errors. The effect of modelling errors on optimal regularization parameter determination is investigated. The changes in muscle anisotropy and heart position are shown to have the highest effect on reconstructed epicardial potentials. CRESO (Composite REsidual and Smoothing Operator) and L-curve criteria for optimal regularization parameter estimation are compared
  • Keywords
    bioelectric potentials; biomedical imaging; cellular automata; electrical conductivity; electrocardiography; errors; finite element analysis; inverse problems; muscle; parameter estimation; physiological models; signal sources; simulation; CRESO criteria; L-curve criteria; anisotropy ratio; cellular automaton; composite residual/smoothing operator; electrocardiographic signal simulation; false conductivity assumptions; finite element model; geometric errors; heart position; human torso; inverse cardiac source imaging problem; modelling errors; muscle anisotropy; noise; optimal regularization parameter determination; reconstructed epicardial potentials; simulated measurements; skeletal muscles; source patterns; Anisotropic magnetoresistance; Automata; Electrocardiography; Finite element methods; Humans; Inverse problems; Muscles; Noise measurement; Solid modeling; Torso;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 2001
  • Conference_Location
    Rotterdam
  • ISSN
    0276-6547
  • Print_ISBN
    0-7803-7266-2
  • Type

    conf

  • DOI
    10.1109/CIC.2001.977586
  • Filename
    977586