• DocumentCode
    472002
  • Title

    Three-Dimensional Ventricular Activation Imaging by Means of Equivalent Current Source Modeling and Estimation

  • Author

    Liu, Z. ; Liu, C. ; He, B.

  • Author_Institution
    Dept. of Biomed. Eng., Minnesota Univ., Minneapolis, MN
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    4524
  • Lastpage
    4527
  • Abstract
    This paper presents a novel electrocardiographic inverse approach for imaging the 3-D ventricular activation sequence based on the modeling and estimation of the equivalent current density throughout the entire myocardial volume. The spatio-temporal coherence of the ventricular excitation process is utilized to derive the activation time from the estimated time course of the equivalent current density. At each time instant during the period of ventricular activation, the distributed equivalent current density is noninvasively estimated from body surface potential maps (BSPM) using a weighted minimum norm approach with a spatio-temporal regularization strategy based on the singular value decomposition of the BSPMs. The activation time at any given location within the ventricular myocardium is determined as the time point with the maximum local current density estimate. Computer simulation has been performed to evaluate the capability of this approach to image the 3-D ventricular activation sequence initiated from a single pacing site in a physiologically realistic cellular automaton heart model. The simulation results demonstrate that the simulated "true" activation sequence can be accurately reconstructed with an average correlation coefficient of 0.90, relative error of 0.19, and the origin of ventricular excitation can be localized with an average localization error of 5.5 mm for 12 different pacing sites distributed throughout the ventricles
  • Keywords
    biomedical imaging; cellular biophysics; electrocardiography; medical computing; medical signal detection; muscle; singular value decomposition; spatiotemporal phenomena; 3-D ventricular activation sequence; body surface potential maps; cellular automaton heart model; computer simulation; correlation coefficient; electrocardiographic inverse approach; equivalent current density estimation; equivalent current source modeling; myocardial volume; pacing sites; relative error; singular value decomposition; spatio-temporal coherence; spatio-temporal regularization strategy; three-dimensional ventricular activation imaging; time course estimation; ventricular excitation process; weighted minimum norm approach; Automata; Coherence; Computational modeling; Computer simulation; Current density; Heart; Image reconstruction; Myocardium; Performance evaluation; Singular value decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259720
  • Filename
    4462808