The mat files in directory HEAD500V 
contain geometric information about the
av152T1 MNI MRI data;

fv_d_k095  : contains the concatenated skull, scalp and brain traingular faces (F), vertices (V), surface 
cutting point (P) and number of vertices (NumVert) on each shell, respectively.

F_V  : contains the faces (f), vertices (v) and surface cutting points (p) on scalp (xderi), 
skull (xkafa) and brain (xbeyin) and the number of vertices on each surface (NumVert)  

BEYIN : contains the uint8 volume data (Beyin) for the white and gray matter

fv_total : contains the old version of F_V with
faces (f), vertices (v) and surface cutting points (p) on scalp (xderi), 
skull (xkafa) and brain (xbeyin) and the number of vertices on each surface (NumVert)  
used to produce F_V to reduce the redundant vertices

kafamodel : contains the head data for capimage plotting routine obtained by
thresholding the volume data tumkafa (KAFAMODEL, Ds) (white matter + gray matter + CSV)
by thresholding with the values in (threshold_vol_slice) respectively. Also contains the faces and vertices
of fine tessellated and  thresholded  volume. Dipole position parameters must be scaled by 1/0.95 before calling 
capimage if the fv_d_k095 model is used!! 
%  Ds=smooth3(uint8(tumkafa/v4.pinfo(1)));
%  KAFAMODEL=uint8(Ds.*(Ds>35));
%  [fderi,vderi]=isosurface(Ds,53);

contours   :  contains the contour points (LXXX) and their coordinates (xyzXXX) for the scalp (deri), 
skull (kafa) and the brain (beyin).


braingrid_8mm  : contains the grid points (R_4) and their number (L_4) in each slice  in the volume image BEYIN 
(thresholded with a value of 30) with 8mm resolution to be used in inverse scanning algorithms. 
If used with fv_d_k095 it has to be scaled with 0.95!!
% load ..\head500v\BEYIN
% xyz=findxyz(Beyin);
% [R,L]=gridreal(Beyin,4,xyz');
% [X]=xyz2pixel(R,L,4,[91 109 91]); 