• DocumentCode
    2915896
  • Title

    Integrated approach for the study of anatomical variability in the cardiac Purkinje system: From high resolution MRI to electrophysiology simulation

  • Author

    Bordas, R. ; Grau, V. ; Burton, R.A.B. ; Hales, P. ; Schneider, J.E. ; Gavaghan, D. ; Kohl, P. ; Rodriguez, B.

  • Author_Institution
    Comput. Lab., Oxford Univ., Oxford, UK
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    6793
  • Lastpage
    6796
  • Abstract
    The ordered electrical stimulation of the ventricles is achieved by a specialized network of fibres known as the Purkinje system. The gross anatomy and basic functional role of the Purkinje system is well understood. However, very little is known about the detailed anatomy of the Purkinje system, its inter-individual variability and the implications of the variability in ventricular function, in part due to limitations in experimental techniques. In this study, we aim to provide new insight into the inter-individual variability of the free running Purkinje system anatomy and its impact on ventricular electrophysiological function. As a first step towards achieving this aim, high resolution magnetic resonance imaging (MRI) datasets of rat and the rabbit ventricles are obtained and analysed using a novel semi-automatic image processing algorithm for segmentation of the free-running Purkinje system. Segmented geometry from the MRI datasets is used to construct a computational model of the Purkinje system, which is incorporated in to an anatomically-based ventricular geometry to simulate ventricular electrophysiological activity.
  • Keywords
    bioelectric phenomena; biomedical MRI; cardiology; image segmentation; medical image processing; anatomical variability; anatomically-based ventricular geometry; cardiac Purkinje system; electrophysiology; gross anatomy; high resolution MRI; image segmentation; magnetic resonance imaging; ordered electrical stimulation; semiautomatic image processing algorithm; ventricles; ventricular function; Computational modeling; Heart; Image resolution; Image segmentation; Magnetic resonance imaging; Myocardium; Rabbits; Animals; Electrophysiology; Magnetic Resonance Imaging; Purkinje Fibers; Rabbits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5625979
  • Filename
    5625979