• DocumentCode
    979767
  • Title

    Numerical solution of the potential due to dipole sources in volume conductors with arbitrary geometry and conductivity

  • Author

    Rosenfeld, Moshe ; Tanami, Ronen ; Abboud, Shimon

  • Author_Institution
    Dept. of Fluid Mech. & Heat Transfer, Tel Aviv Univ., Israel
  • Volume
    43
  • Issue
    7
  • fYear
    1996
  • fDate
    7/1/1996 12:00:00 AM
  • Firstpage
    679
  • Lastpage
    689
  • Abstract
    The integral conservation equation for biological volume conductors with general geometry and arbitrary distribution of electrical conductivity is solved using a finite volume method. An effective conductivity was defined for the boundaries between regions with abrupt change of the conductivity to allow the simultaneous solution of the entire domain although the derivatives are not continuous. The geometrical singularities arising from the spherical topology of the coordinate system are removed using the conservation law. The resulting finite volume solution method is efficient both in central processing unit (CPU) time and memory requirements, allowing the solution of the volume conductor equation using a large number of mesh points (of the order of 10 5) even on small workstations (like SGI Indigo). It results in very accurate solutions, as several comparisons with analytical solutions of head models reveal. The proposed finite volume method is an attractive alternative to the finite element and boundary element methods that are more common in bioelectric applications.
  • Keywords
    bioelectric potentials; brain models; electrical conductivity; electrocardiography; electroencephalography; medical signal processing; numerical analysis; physiological models; ECG; EEG; SGI Indigo; biological volume conductors; central processing unit time; conservation law; coordinate system; dipole sources; effective conductivity; electrical conductivity; finite volume method; geometrical singularities; geometry; head models; integral conservation equation; memory requirements; mesh points; numerical solution; potential; small workstations; spherical topology; volume conductors; Bioelectric phenomena; Central Processing Unit; Conductivity; Conductors; Electric potential; Finite volume methods; Geometry; Integral equations; Topology; Workstations; Anisotropy; Brain; Electric Conductivity; Electromagnetic Fields; Head; Humans; Models, Biological; Scalp;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.503175
  • Filename
    503175