WIP: compute centroid of brain mask

sEEG_Segmentation_Script.m

 % PCA
-<<<<<<< HEAD
 
-=======
-CT_post = NiftiMod('Seeg_chinese_1_before_final.nii');
+%CT_post = NiftiMod('Seeg_chinese_1_before_final.nii');
 %CT_post = NiftiMod('seeg_seg_bul_inside_binary.nii');
+CT_post = NiftiMod('seeg_electrode_additional_tryout_high_threshold_2.nii.gz');
+Brain_mask = NiftiMod('brain_mask.nii.gz');
+Brain_mask_img = Brain_mask.img;
+
+bm = bwconncomp(Brain_mask_img,26);
+
+bmProps = regionprops(bm, Brain_mask.img, 'Area', 'PixelIdxList', 'PixelList', 'PixelValues', 'BoundingBox', 'Centroid'); % TODO not really needed as that info is already in cc
+[areas, idxs] = sort([bmProps.Area], 'descend'); % sort by size
+
+bm_centroid = bmProps(idxs(:,1)).Centroid
+
+
 
->>>>>>> 181fd59b46f6619677749644bafbb102e57441d2
 %% CONSTANTS
 % for the contact region (from the paper)
 % contact region areas have defined interval of voxels, because they are the smallest parts in the data