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How to find neighbor voxels of a given voxel?

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Hi! I am working with 3D MRI image of size(164x187x145). For a given voxel i need to consider 26 neighbouring 3x3x3 patch.(now 27 scalar values)Then consider all 26 neighbouring conventional 3x3x3 patches and compute average intensity for all these neighbouring patches.(So totally i have 53 scalar intensity values).How to perform this? Anyone who knows Plz reply !! code that i referred is as follows
function[IndexNeighbours] = findNeighbours(Index,MatrixSize)
%%**************************************************************************
% Module name: findNeighbours.m
% Version number: 1
% Revision number: 00
% Revision date: 10-2013
2013 (C) Copyright by Patrick Granton Maastro Clinic
% Outputs:
% IndexNeighbours = The index positions of valid voxels
% Usage: [IndexNeighbours] = findNeighbours(33014,[400 400 400])
Description:
%*************************************************************************
% References:
%
%*************************************************************************
%%Revision History
% %%*************************************************************************
%1
Base = [+1 +1 0 ...
%2
+1 -1 0 ...
%3
+1 +1 +1; ...
%4
+1 0 +1; ...
%5
+1 -1 +1; ...
%6
+1 +1 -1; ...
%7
+1 0 -1; ...
%8
+1 -1 -1; ...
%9
+1 0 0 ...
%10
0 +1 0 ...
%11
0 -1 0 ...
%12
0 +1 +1; ...
%13
0 0 +1; ...
%14
0 -1 +1; ...
%15
0 +1 -1; ...
%16
0 0 -1; ...
%17
0 -1 -1; ...
%18
-1 +1 0 ...
%19
-1 -1 0 ...
%20
-1 +1 +1; ...
%21
-1 0 +1; ...
%22
-1 -1 +1; ...
%23
-1 +1 -1; ...
%24
-1 0 -1; ...
%25
-1 -1 -1; ...
%26
-1 0 0];
[I J K] = ind2sub([MatrixSize],Index);
neighbours = Base+repmat([I J K],[26 1]);
valid_neighbours = (1 - sum(neighbours(1:26,:)<=0,2));
valid_neighbours_Indices = find(valid_neighbours==1);
IndexNeighbours = sub2ind([MatrixSize],[neighbours(valid_neighbours_Indices,1)],[neighbours(valid_neighbours_Indices,2)],[neighbours(valid_neighbours_Indices,3)]);
end
My doubt is what i must give for matrixsize and index if I am using 164*197*145 3D matrix?
Thanks in advance!

Risposta accettata

KSSV
KSSV il 15 Mar 2017
You may use knnsearch to get the nearest neighbors. Read about knnsearch

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