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ARET/Cluster_Overlap_main.m
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function [ClusterTable] = Cluster_Overlap_main(ImageFiles) | |
% %----Description----% | |
% Run this script to obtain proportion of brain regions detected in the cluster images. | |
% FORMAT [ClusterTable] = Cluster_Overlap_main(ImageFiles) | |
% | |
% %----Input----% | |
% ImageFiles: Filename of cluster image. | |
% %----Output----% | |
% ClusterTable: Table array showing percentages and parent regions of | |
% detected brain regions in each cluster blob. | |
% | |
% -----------------------------------------% | |
% Tanusree Chaudhuri | |
% Max Planck Institute of Psychiatry, Munich | |
% tanusree_chaudhuri@psych.mpg.de | |
% -----------------------------------------% | |
%---------------------------------------------------------------------------------------------------------------% | |
global DataDir; | |
global TemplatesDir; | |
cd(DataDir); | |
% ----- Binarizing cluster image ------ % | |
ImagesToBeMasked = ImageFiles; | |
InputFilename = cellstr(ImagesToBeMasked); | |
[pth,nam,ext] = spm_fileparts(ImageFiles); | |
OutputFilename = strcat(pth,'/Mask_',nam,ext); | |
MaskingClusterImages(InputFilename,OutputFilename); | |
% ------ Cluster Labelling.------ % | |
ClusterMask = spm_vol(OutputFilename); | |
ClusterMask = spm_read_vols(ClusterMask); | |
CC = bwconncomp(ClusterMask); | |
NumberOfClusters = CC.NumObjects; | |
for img_cluster = 1:NumberOfClusters | |
[ClusterLabels,ClusterParents,ClusterLabelsPercent] = ClusterProportionInPercentages(TemplatesDir,CC,img_cluster); | |
if(isempty(ClusterLabels)) | |
Cluster_blob_num = cellstr(repmat(['Cluster',' ',num2str(img_cluster)],[1, 1])); | |
ClusterLabels{end + 1} = []; | |
ClusterLabelsPercent = 100; | |
ClusterParents{end + 1} = []; | |
end | |
Cluster_blob_num = cellstr(repmat(['Cluster',' ',num2str(img_cluster)],[length(ClusterLabels) 1])); | |
ClusterParents = ClusterParents'; | |
ClusterImageInfo = table(Cluster_blob_num,ClusterLabels,ClusterParents,ClusterLabelsPercent); | |
disp(strcat('Blob','_',num2str(img_cluster),'_','done')); | |
if(img_cluster == 1) | |
ClusterTable = ClusterImageInfo; | |
else | |
ClusterTable = [ClusterTable;ClusterImageInfo]; | |
end | |
end | |
end | |