Comparison Study for Whitney (Raviart-Thomas) Type Source Models in Finite Element Method Based EEG Forward Modeling

  • Sampsa Pursiainen
  • , Martin Bauer
  • , Johannes Vorwerk
  • , Harald Köstler
  • , Carsten H. Wolters

    Research output: Contribution to journalArticleScientificpeer-review

    25 Citations (Scopus)

    Abstract

    This study concentrates on finite element method (FEM)
    based electroencephalography (EEG) forward simulation in which the
    electric potential evoked by neural activity in the brain is to be calculated
    at the surface of the head. The main advantage of the FEM is that it allows
    realistic modeling of tissue conductivity inhomogeneity. However, it is not
    straightforward to apply the classical model of a dipolar source with the
    FEM, due to its strong singularity and the resulting irregularity. The focus
    of this study is on comparing different methods to cope with this problem.
    In particular, we evaluate the accuracy of Whitney (Raviart-Thomas) type
    dipole-like source currents compared to two reference dipole modeling
    methods: the St. Venant and partial integration approach. Common
    to all these methods is that they enable direct approximation of the
    potential field utilizing linear basis functions. In the present context,
    Whitney elements are particularly interesting, as they provide a simple
    means to model a divergence-conforming primary current vector field
    satisfying the square integrability condition. Our results show that a
    Whitney type source model can provide simulation accuracy comparable
    to the present reference methods. It can lead to superior accuracy under
    optimized conditions with respect to both source location and orientation
    in a tetrahedral mesh. For random source orientations, the St. Venant
    approach turns out to be the method of choice over the interpolated
    version of the Whitney model. The overall moderate differences obtained
    suggest that practical aspects, such as the focality, should be prioritized
    when choosing a source model.
    Original languageEnglish
    Pages (from-to)2648-2656
    Number of pages9
    JournalIEEE Transactions on Biomedical Engineering
    Volume62
    Issue number11
    DOIs
    Publication statusPublished - Nov 2015
    Publication typeA1 Journal article-refereed

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    • Publication forum level 1

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