• DocumentCode
    875366
  • Title

    Cardiac anisotropy: is it negligible regarding noninvasive activation time imaging?

  • Author

    Modre, Robert ; Seger, Michael ; Fischer, Gerald ; Hintermüller, Christoph ; Hayn, Dieter ; Pfeifer, Bernhard ; Hanser, Friedrich ; Schreier, Günter ; Tilg, Bernhard

  • Author_Institution
    Univ. for Health Sci., Med. Informatics & Technol., Tirol, Austria
  • Volume
    53
  • Issue
    4
  • fYear
    2006
  • fDate
    4/1/2006 12:00:00 AM
  • Firstpage
    569
  • Lastpage
    580
  • Abstract
    The aim of this study was to quantify the effect of cardiac anisotropy in the activation-based inverse problem of electrocardiography. Differences of the patterns of simulated body surface potential maps for isotropic and anisotropic conditions were investigated with regard to activation time (AT) imaging of ventricular depolarization. AT maps were estimated by solving the nonlinear inverse ill-posed problem employing spatio-temporal regularization. Four different reference AT maps (sinus rhythm, right-ventricular and septal pacing, accessory pathway) were calculated with a bidomain theory based anisotropic finite-element heart model in combination with a cellular automaton. In this heart model a realistic fiber architecture and conduction system was implemented. Although the anisotropy has some effects on forward solutions, effects on inverse solutions are small indicating that cardiac anisotropy might be negligible for some clinical applications (e.g., imaging of focal events) of our AT imaging approach. The main characteristic events of the AT maps were estimated despite neglected electrical anisotropy in the inverse formulation. The worst correlation coefficient of the estimated AT maps was 0.810 in case of sinus rhythm. However, all characteristic events of the activation pattern were found. The results of this study confirm our clinical validation studies of noninvasive AT imaging in which cardiac anisotropy was neglected.
  • Keywords
    bioelectric potentials; cellular automata; electrocardiography; finite element analysis; inverse problems; medical image processing; spatiotemporal phenomena; accessory pathway; bidomain theory; cardiac anisotropy; cellular automaton; electrical anisotropy; electrocardiography; finite element heart model; inverse problem; noninvasive activation time imaging; right-ventricular pacing; septal pacing; simulated body surface potential maps; sinus rhythm; spatiotemporal regularization; ventricular depolarization; Anisotropic magnetoresistance; Biomedical informatics; Conductivity; Electrocardiography; Geometry; Heart; Inverse problems; Nonuniform electric fields; Rhythm; Torso; Activation time imaging; bidomain theory; electrical anisotropy; forward problem of electrocardiography; inverse problem of electrocardiography; spatiotemporal regularization; Action Potentials; Animals; Body Surface Potential Mapping; Computer Simulation; Diagnosis, Computer-Assisted; Heart Conduction System; Heart Ventricles; Humans; Models, Cardiovascular; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2006.870253
  • Filename
    1608506