FieldTrip

Note that this reference documentation is identical to the help that is displayed in Matlab when you type “help ft_prepare_bemmodel”.

  FT_PREPARE_BEMMODEL constructs triangulations of the boundaries between
  multiple segmented tissue types in an anatomical MRI and subsequently
  computes the BEM system matrix.
 
  Use as
    [vol, cfg] = ft_prepare_bemmodel(cfg, mri), or
    [vol, cfg] = ft_prepare_bemmodel(cfg, seg), or
    [vol, cfg] = ft_prepare_bemmodel(cfg, vol), or
    [vol, cfg] = ft_prepare_bemmodel(cfg)
 
  The configuration can contain
    cfg.tissue         = [1 2 3], segmentation value of each tissue type
    cfg.numvertices    = [Nskin_surface Nouter_skull_surface Ninner_skull_surface]
    cfg.conductivity   = [Cskin_surface Couter_skull_surface Cinner_skull_surface]
    cfg.method         = 'dipoli', 'openmeeg', 'brainstorm' or 'bemcp'
    cfg.isolatedsource = compartment number, or 0
  Although the example configuration uses 3 compartments, you can use
  an arbitrary number of compartments.
 
  When the headmodel should be derived from the cfg, see FT_FETCH_VOL
 
 
  This function implements
    Oostendorp TF, van Oosterom A.
    Source parameter estimation in inhomogeneous volume conductors of arbitrary shape
    IEEE Trans Biomed Eng. 1989 Mar;36(3):382-91.