Generalized head models for MEG/EEG: boundary element method beyond nested volumes.

نویسندگان

  • Jan Kybic
  • Maureen Clerc
  • Olivier Faugeras
  • Renaud Keriven
  • Théo Papadopoulo
چکیده

Accurate geometrical models of the head are necessary for solving the forward and inverse problems of magneto- and electro-encephalography (MEG/EEG). Boundary element methods (BEMs) require a geometrical model describing the interfaces between different tissue types. Classically, head models with a nested volume topology have been used. In this paper, we demonstrate how this constraint can be relaxed, allowing us to model more realistic head topologies. We describe the symmetric BEM for this new model. The symmetric BEM formulation uses both potentials and currents at the interfaces as unknowns and is in general more accurate than the alternative double-layer formulation.

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عنوان ژورنال:
  • Physics in medicine and biology

دوره 51 5  شماره 

صفحات  -

تاریخ انتشار 2006