• DocumentCode
    1013579
  • Title

    Improved method for computation of potentials in a realistic head shape model

  • Author

    Fletcher, Daniel J. ; Amir, Avner ; Jewett, Don L. ; Fein, George

  • Author_Institution
    California Univ., San Francisco, CA, USA
  • Volume
    42
  • Issue
    11
  • fYear
    1995
  • Firstpage
    1094
  • Lastpage
    1104
  • Abstract
    The lead field analysis (LFA) algorithm, a new computational technique for the calculation of potentials on the surface of a realistic head shaped volume conductor model based on the boundary element method and the reciprocity theorem, is presented. The new algorithm, in comparison to the standard boundary element method, offers improved computational efficiency and lower storage requirements. It also yields more accurate surface potential results in the face of varying dipole source locations for a head shape boundary element model with a given number of nodes. Additionally, the algorithm results in quasi-analytic expressions of the derivatives of the surface potential with respect to the location of the sources, allowing the use of optimization techniques with better convergence properties. A set of simulations demonstrating the increased robustness of the LFA algorithm in the face of varying dipole source parameters is also described.
  • Keywords
    bioelectric potentials; boundary-elements methods; electroencephalography; optimisation; surface potential; algorithm robustness; convergence properties; dipole source parameters; lead field analysis algorithm; optimization techniques; potentials computation method; quasianalytic expressions; realistic head shape model; reciprocity theorem; varying dipole source locations; Boundary element methods; Brain modeling; DSL; Humans; Magnetic heads; Parameter estimation; Predictive models; Scalp; Shape; Solid modeling; Algorithms; Animals; Brain Mapping; Cats; Evoked Potentials; Head; Humans; Image Processing, Computer-Assisted; Numerical Analysis, Computer-Assisted; Reference Values; Reproducibility of Results;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/10.469376
  • Filename
    469376