• DocumentCode
    1200956
  • Title

    A common formalism for the Integral formulations of the forward EEG problem

  • Author

    Kybic, Jan ; Clerc, Maureen ; Abboud, Toufic ; Faugeras, Olivier ; Keriven, Renaud ; Papadopoulo, Théo

  • Author_Institution
    Czech Tech. Univ., Prague, Czech Republic
  • Volume
    24
  • Issue
    1
  • fYear
    2005
  • Firstpage
    12
  • Lastpage
    28
  • Abstract
    The forward electroencephalography (EEG) problem involves finding a potential V from the Poisson equation ∇·(σ∇V)=f, in which f represents electrical sources in the brain, and σ the conductivity of the head tissues. In the piecewise constant conductivity head model, this can be accomplished by the boundary element method (BEM) using a suitable integral formulation. Most previous work uses the same integral formulation, corresponding to a double-layer potential. We present a conceptual framework based on a well-known theorem (Theorem 1) that characterizes harmonic functions defined on the complement of a bounded smooth surface. This theorem says that such harmonic functions are completely defined by their values and those of their normal derivatives on this surface. It allows us to cast the previous BEM approaches in a unified setting and to develop two new approaches corresponding to different ways of exploiting the same theorem. Specifically, we first present a dual approach which involves a single-layer potential. Then, we propose a symmetric formulation, which combines single- and double-layer potentials, and which is new to the field of EEG, although it has been applied to other problems in electromagnetism. The three methods have been evaluated numerically using a spherical geometry with known analytical solution, and the symmetric formulation achieves a significantly higher accuracy than the alternative methods. Additionally, we present results with realistically shaped meshes. Beside providing a better understanding of the foundations of BEM methods, our approach appears to lead also to more efficient algorithms.
  • Keywords
    Poisson equation; bioelectric potentials; brain models; electroencephalography; medical signal processing; mesh generation; Poisson equation; boundary element method; brain; double-layer potential; electrical sources; electroencephalography; forward EEG problem; harmonic functions; head tissue conductivity; integral formulations; piecewise constant conductivity head model; single-layer potential; Boundary element methods; Brain modeling; Conductivity; Electric potential; Electric variables measurement; Electroencephalography; Geometry; Integral equations; Magnetic heads; Poisson equations; Boundary element method; EEG; Poisson equation; integral method; Algorithms; Brain; Brain Mapping; Computer Simulation; Diagnosis, Computer-Assisted; Electroencephalography; Head; Humans; Models, Neurological; Reproducibility of Results; Sensitivity and Specificity;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2004.837363
  • Filename
    1375158