• DocumentCode
    2039196
  • Title

    Modeling the Purkinje conduction system with a non deterministic rule based iterative method

  • Author

    Zimmerman, V. ; Sebastian, R. ; Bijnens, BH ; Frangi, AF

  • Author_Institution
    Comput. Imaging & Simulation Technol. in Biomedicine (CISTIB), Univ. Pompeu Fabra, Barcelona, Spain
  • fYear
    2009
  • fDate
    13-16 Sept. 2009
  • Firstpage
    461
  • Lastpage
    464
  • Abstract
    A method to construct a Purkinje system automatically for a particular subject is presented. The system is grown using a rule-based algorithm controlled by stochastic and probabilistic decisions that determine the particular structure of the model. A set of user customizable parameters control the final structure, and allow obtaining realistic Purkinje structures. The construction of the whole structure takes less than 30 s in a 2.4 GHz PC. The Purkinje system is built on a ventricular surface mesh previously obtained by segmentation. Geometrically, the system is modeled as a set of lines organized in a tree-like structure, so it can be included in a cardiac electrophysiological solver as a set of cables using a 1D type resolution method. The Purkinje systems obtained closely resemble real photographs and histological diagrams as for example Tawara and Myorburg ones.
  • Keywords
    bioelectric phenomena; cardiology; iterative methods; medical computing; physiological models; probability; stochastic processes; Purkinje conduction system; cardiac electrophysiological solver; iterative method; probabilistic decision; rule-based algorithm; stochastic decision; tree-like structure; ventricular surface mesh; Biomedical computing; Biomedical imaging; Carbon capture and storage; Computational modeling; Computer simulation; Heart; Iterative methods; Solid modeling; Surface fitting; Surface morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology, 2009
  • Conference_Location
    Park City, UT
  • ISSN
    0276-6547
  • Print_ISBN
    978-1-4244-7281-9
  • Electronic_ISBN
    0276-6547
  • Type

    conf

  • Filename
    5445371