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] = ft_prepare_bemmodel(cfg, mri), or
    [vol] = ft_prepare_bemmodel(cfg, seg), or
    [vol] = ft_prepare_bemmodel(cfg, vol), or
    [vol] = 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.hdmfile        = string, file containing the volume conduction model (can be empty)
    cfg.isolatedsource = compartment number, or 0
    cfg.method         = 'dipoli', 'openmeeg', 'brainstorm' or 'bemcp'
 
  Although the example configuration uses 3 compartments, you can use
  an arbitrary number of compartments.
 
  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.