• DocumentCode
    1439234
  • Title

    MCG simulations with a realistic heart-torso model

  • Author

    Ramon, Ceon ; Czapski, Piotr ; Haueisen, Jens ; Huntsman, Lee L. ; Nowak, Hannes ; Bardy, Gust H. ; Leder, Uwe ; Kim, Yongmin ; Nelson, J.A.

  • Author_Institution
    Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
  • Volume
    45
  • Issue
    11
  • fYear
    1998
  • Firstpage
    1323
  • Lastpage
    1331
  • Abstract
    Magnetocardiograms (MCGs) simulated high-resolution heart-torso model of an adult subject were compared with measured MCGs acquired from the same individual. An exact match of the measured and simulated MCGs was not found due to the uncertainties in tissue conductivities and cardiac source positions. However, general features of the measured MCGs were reasonably represented by the simulated data for most, but not all of the channels. This suggests that the model accounts for the most important mechanisms underlying the genesis of MCGs and may be useful for cardiac magnetic field modeling under normal and diseased states. MCGs were simulated with a realistic finite-element heart-torso model constructed from segmented magnetic resonance images with 19 different tissue types identified. A finite-element model was developed from the segmented images. The model consists of 2.51 million brick-shaped elements and 2.58 million nodes, and has a voxel resolution of 1.56×1.56×3 mm. Current distributions inside the torso and the magnetic fields and MCGs at the gradiometer coil locations were computed. MCGs were measured with a Philips twin Dewar first-order gradiometer SQUID-system consisting of 31 channels in one tank and 19 channels in the other.
  • Keywords
    finite element analysis; magnetocardiography; physiological models; Philips twin Dewar first-order gradiometer SQUID-system; brick-shaped elements; cardiac magnetic field modeling; current distribution; diseased state; realistic heart-torso model; segmented magnetic resonance images; voxel resolution; Coils; Conductivity measurement; Current distribution; Distributed computing; Finite element methods; Image segmentation; Magnetic field measurement; Magnetic resonance; Position measurement; Torso; Adult; Biophysics; Computer Simulation; Electric Conductivity; Finite Element Analysis; Heart; Humans; Magnetic Resonance Imaging; Magnetics; Male; Models, Cardiovascular;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.725329
  • Filename
    725329