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separation
(Toolbox/separation.m in BrainStorm 2.0 (Alpha))
Function Synopsis
[I_pos,I_neg]=separation(v,connectivity_cell)
Help Text
SEPARATION - Splitting the brain into 2 parts
function [I_pos,I_neg]=separation(v,connectivity_cell)
spliting the brain into 2 parts
inputs : v : vertices (brain centered), connectivity_cell : result of vertices_connectivity
outputs : I_pos/I_neg : indices of the vertices corresponding to the positive/negative part of the brain
Cross-Reference Information
This function is called by
- bem_xfer C:\BrainStorm_2001\Toolbox\bem_xfer.m
- c_activ C:\BrainStorm_2001\Toolbox\c_activ.m
Listing of function C:\BrainStorm_2001\Toolbox\separation.m
function [I_pos,I_neg]=separation(v,connectivity_cell)
%SEPARATION - Splitting the brain into 2 parts
% function [I_pos,I_neg]=separation(v,connectivity_cell)
%
% spliting the brain into 2 parts
%
% inputs : v : vertices (brain centered), connectivity_cell : result of vertices_connectivity
% outputs : I_pos/I_neg : indices of the vertices corresponding to the positive/negative part of the brain
%
%<autobegin> ---------------------- 26-May-2004 11:34:21 -----------------------
% --------- Automatically Generated Comments Block Using AUTO_COMMENTS ---------
%
% CATEGORY: Visualization
%
% At Check-in: $Author: Mosher $ $Revision: 14 $ $Date: 5/26/04 10:02a $
%
% This software is part of BrainStorm Toolbox Version 2.0 (Alpha) 24-May-2004
%
% Principal Investigators and Developers:
% ** Richard M. Leahy, PhD, Signal & Image Processing Institute,
% University of Southern California, Los Angeles, CA
% ** John C. Mosher, PhD, Biophysics Group,
% Los Alamos National Laboratory, Los Alamos, NM
% ** Sylvain Baillet, PhD, Cognitive Neuroscience & Brain Imaging Laboratory,
% CNRS, Hopital de la Salpetriere, Paris, France
%
% See BrainStorm website at http://neuroimage.usc.edu for further information.
%
% Copyright (c) 2004 BrainStorm by the University of Southern California
% This software distributed under the terms of the GNU General Public License
% as published by the Free Software Foundation. Further details on the GPL
% license can be found at http://www.gnu.org/copyleft/gpl.html .
%
% FOR RESEARCH PURPOSES ONLY. THE SOFTWARE IS PROVIDED "AS IS," AND THE
% UNIVERSITY OF SOUTHERN CALIFORNIA AND ITS COLLABORATORS DO NOT MAKE ANY
% WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO WARRANTIES OF
% MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, NOR DO THEY ASSUME ANY
% LIABILITY OR RESPONSIBILITY FOR THE USE OF THIS SOFTWARE.
%<autoend> ------------------------ 26-May-2004 11:34:21 -----------------------
% find short and long axes
larg1=max(max(v(:,1)))-min(min(v(:,1)));
larg2=max(max(v(:,2)))-min(min(v(:,2)));
if larg1<larg2
short_axe=1;
long_axe=2;
else
short_axe=2;
long_axe=1;
end
maxi=max(max(v(:,short_axe)));
mini=min(min(v(:,short_axe)));
% test to know whether the cerebellum is included or not
i_mini=find(v(:,3)==min(min(v(:,3))));
if v(i_mini,long_axe)<0
cerebellum=1;
% 'cerebellum in'
else
cerebellum=2;
% 'cerebellum out'
end
% spliting of the brain into 2 parts
I_maxi=find(v(:,short_axe)==maxi);
i_maxi=I_maxi(1,1);
v_vector=i_maxi;
front=i_maxi;
stop=0;
stop_it=zeros(size(v,1),1);
while stop~=1
clear stop_it_test;
stop_it_test=stop_it(front);
I_az=find(stop_it_test==0);
clear v_neig;
clear fronttemp;
fronttemp=front;
v_neig=[];
for i=1:size(I_az)
v_neig=[v_neig connectivity_cell{front(I_az(i))}];
end
v_neigu=unique(v_neig);
clear v_new_neig;
v_new_neig=setdiff(v_neigu,v_vector);
front_nav=[front v_new_neig];
clear front;
front=setdiff(front_nav,fronttemp(I_az));
clear v_test;
I_iz=find(v(v_new_neig,short_axe)<=0);
if ~isempty(I_iz)
if cerebellum==1
I_z_axe=find(v(v_new_neig(I_iz),3)<4*max(max(v(:,3))));
if ~isempty(I_z_axe)
I_long_axe=find(v(v_new_neig(I_iz(I_z_axe)),long_axe)<6*max(max(v(:,long_axe))));
if ~isempty(I_long_axe)
stop_it(v_new_neig(I_iz(I_z_axe(I_long_axe))))=1;
end
end
elseif cerebellum==2
I_z_axe=find(v(v_new_neig(I_iz),3)<0.4*max(max(v(:,3))) & v(v_new_neig(I_iz),3)>-0.6*max(max(v(:,3))));
if ~isempty(I_z_axe)
I_long_axe=find(v(v_new_neig(I_iz(I_z_axe)),long_axe)<0.6*max(max(v(:,long_axe))) & v(v_new_neig(I_iz(I_z_axe)),long_axe)>-0.4*max(max(v(:,long_axe))));
if ~isempty(I_long_axe)
stop_it(v_new_neig(I_iz(I_z_axe(I_long_axe))))=1;
end
end
end
end
clear I_stop;
I_stop=find(stop_it==1);
v_vector=unique([v_vector front]);
if size(I_stop,1)==size(front,2)
stop=1;
end
end
I_neg=(setdiff(linspace(1,size(v,1),size(v,1)),v_vector'))';
I_pos=v_vector';
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