% Script that writes to an output directory a bunch of files (volumes and surfaces) % that you can sequentially open with Freeview, to visualize the evolution % of the fit bye ReconPhotoVolume_joint_hard_multires.m (and even make a % movie with it!). % In full honesty, I haven't played to much with it since I switched to % multi-resolution, so it may need a bit of work / debugging here and there clear clc % a directory with .tif / .mat pairs with the photos and segmentations % inputPhotoDir='/autofs/cluster/vive/UW_photo_recon/Photo_data/18-1132/18-1132 MATLAB/'; inputPhotoDir='/home/henry/Documents/Brain/UWphoto/Photo_data_updated/17-0333/17-0333 MATLAB/'; % a reference binary mask volume, in correct anatomical orientation. You can use ../FLAIR_Scan_Data/*.rotated.mask.mgz. % inputREFERENCE='/autofs/cluster/vive/UW_photo_recon/FLAIR_Scan_Data/NP18_1132.rotated.mask.mgz'; inputREFERENCE='/home/henry/Documents/Brain/UWphoto/FLAIR_Scan_Data/MaskComparison/NP17_0333/NP17_0333.rotated.ventCrctd.binary.mgz'; % output directory with movie files outputMovieDir='/home/henry/Documents/Brain/UWphoto/figures/Movies/17-0333/'; % The mat file written by ReconPhotoVolume_joint_hard_multires.m matFile='/home/henry/Documents/Brain/UWphoto/Results_hard/17-0333/17-0333.hard.mat'; % final resolution used in ReconPhotoVolume_joint_hard_multires.m TARGET_RES=0.5; % the path to the matlab directory of your freesurfer distrbution, i.e., $FREESURFER_HOME/matlab FS_MATLAB_PATH='/usr/local/freesurfer/dev/matlab'; % Constants that you shouldn't need to touch PHOTO_RES=0.1; SLICE_THICKNESS=4; %%%%%%%%%%%%% % Number of pre/post slices to add at the photo stack Nphotos_pre = 2; Nphotos_post = 2; %%%%%%%%%%%%% % % addpath([pwd() '/functions']); % addpath(FS_MATLAB_PATH); % % %%%%%%%%%%%%%% if exist(outputMovieDir,'dir')==0 mkdir(outputMovieDir); end %%%%%%%%%%%%%%%% disp('Extracting slices from photographs') d=dir([inputPhotoDir '/*.mat']); Nphotos=length(d); Iorig=[]; Morig=[]; grouping=[]; % I don't use it right now, but maybe in the future... for n=1:Nphotos_pre Iorig{end+1}=zeros(3,1); Morig{end+1}=1; end for n=1:Nphotos X=imread([inputPhotoDir '/' d(n).name(1:end-4) '.tif']); load([inputPhotoDir '/' d(n).name(1:end)],'LABELS'); Y=LABELS; clear LABELS grouping=[grouping n*ones(1,max(Y(:)))]; for l=1:max(Y(:)) [mask,cropping]=cropLabelVol(Y==l,5/PHOTO_RES); mask=imfill(mask,'holes'); cropping(3)=1; cropping(6)=3; image=applyCropping(X,cropping); image(repmat(mask,[1 1 3])==0)=0; Iorig{end+1}=image; Morig{end+1}=mask; end end for n=1:Nphotos_post Iorig{end+1}=zeros(3,1); Morig{end+1}=1; end %%%%%%%%%%%%%%% Nscales = length(TARGET_RES); Nslices=length(Iorig); if exist([inputPhotoDir filesep '..' filesep 'slice_order.mat']) load([inputPhotoDir filesep '..' filesep 'slice_order.mat'], 'slice_order'); slice_order = [1:Nphotos_pre slice_order+Nphotos_pre slice_order(end)+Nphotos_pre+1:slice_order(end)+Nphotos_pre+Nphotos_post]; else slice_order = 1:Nslices; end I=[]; M=[]; disp(['Resampling to target resolution: ' num2str(TARGET_RES) ' mm']); Nslices=length(Iorig); for n=1:Nslices n_ordered = slice_order(n); I{n}=imresize(Iorig{n_ordered},PHOTO_RES/TARGET_RES); % M{n}=imdilate(imresize(double(M{n}),PHOTO_RES/TARGET_RES)>0.5,strel('disk',2/TARGET_RES)); M{n}=imresize(double(Morig{n_ordered}),PHOTO_RES/TARGET_RES)>0.5; I{n}(M{n}==0)=0; if length(size(I{n})) < 3 I{n} = zeros(3,1); end end %%%%%%%%%%%%%%%%% disp('Coarse alignment and padding'); % find COGs of the masks Imri=[]; Mmri=[]; cogs=zeros(Nslices,2); for n=1:Nslices [r,c]=find(M{n}); if isempty(r) cogs(n,1)=1; cogs(n,2)=1; else cogs(n,1)=round(mean(r)); cogs(n,2)=round(mean(c)); end end unalign=zeros(Nslices,2); for n=1:Nslices [r,c]=find(true(size(M{n}))); if isempty(r) unalign(n,1)=1; unalign(n,2)=1; else unalign(n,1)=round(mean(r)); unalign(n,2)=round(mean(c)); end end semiLen = round(1.4 * max(cogs)); siz=1+2*semiLen; Imri=[]; Imri.volres=[TARGET_RES TARGET_RES SLICE_THICKNESS]; Imri.vox2ras0=[-TARGET_RES 0 0 0; 0 0 -SLICE_THICKNESS 0; 0 -TARGET_RES 0 0; 0 0 0 1]; Imri.vol=zeros([siz Nslices 3]); Mmri=Imri; Mmri.vol=zeros([siz Nslices]); Umri=Imri; for n=1:Nslices idx1=semiLen-cogs(n,:); idx2=idx1+size(M{n})-1; if (n>3 && unalign(n,1)~=1) idx4=idx3+size(M{n})-1; else idx3=semiLen-unalign(n,:); idx4=idx3+size(M{n})-1; end Imri.vol(idx1(1):idx2(1),idx1(2):idx2(2),n,:)=reshape(I{n},[size(M{n}) 1 3]); Mmri.vol(idx1(1):idx2(1),idx1(2):idx2(2),n)=M{n}; Umri.vol(idx3(1):idx4(1),idx3(2):idx4(2),n,:)=reshape(I{n},[size(M{n}) 1 3]); end %%%%%%%%%%%%%%%%%%%%% REFmri=MRIread(inputREFERENCE); REFmri.vol=REFmri.vol/max(REFmri.vol(:)); % Clean up fields other than volres, vox2ras0 and vol to avoid trouble... aux=REFmri; REFmri=[]; REFmri.vol=aux.vol; REFmri.volres=aux.volres; REFmri.vox2ras0=aux.vox2ras0; %%%%%%%%%%%%%%%%%%% % THE ACTUAL WORK % Let's start by matching the COGs [IIref,JJref,KKref]=ndgrid(1:size(REFmri.vol,1),1:size(REFmri.vol,2),1:size(REFmri.vol,3)); rasRef=vox2ras([IIref(:) JJref(:) KKref(:)],REFmri.vox2ras0); cogREF=sum((rasRef.*repmat(REFmri.vol(:)',[3 1])),2)/sum(REFmri.vol(:)); [IIph,JJph,KKph]=ndgrid(1:size(Imri.vol,1),1:size(Imri.vol,2),1:size(Imri.vol,3)); rasPH=vox2ras([IIph(:) JJph(:) KKph(:)],Imri.vox2ras0); cogPH=sum((rasPH.*repmat(Mmri.vol(:)',[3 1])),2)/sum(Mmri.vol(:)); REFmri.vox2ras0(1:3,4)=REFmri.vox2ras0(1:3,4)+cogPH-cogREF; % Here is where we diverge from the Recon script. fn=0; % frame number\ factor=round(Mmri.volres(3)/2); % Initial fn=fn+1; MRIwrite(REFmri,[outputMovieDir '/REF_frame_' num2str(fn,'%.4d') '.mgz']); MRIwrite(REFmri,'/tmp/kk.mgz'); system('mri_convert /tmp/kk.mgz /tmp/kk2.mgz --conform -odt float >/dev/null'); system('mri_mc /tmp/kk2.mgz 1 /tmp/kk >/dev/null'); system(['mris_smooth -nw /tmp/kk ' outputMovieDir '/REF_frame_' num2str(fn,'%.4d') '.surf >/dev/null']); MRIwrite(Imri,[outputMovieDir '/SL_frame_' num2str(fn,'%.4d') '.mgz']); MRIwrite(Umri,[outputMovieDir '/SL_frame_' num2str(0,'%.4d') '.mgz']); MRIwrite(Mmri,'/tmp/kk.mgz'); system(['mri_convert /tmp/kk.mgz /tmp/kk2.mgz --voxsize 1.5 1.5 ' num2str(factor) ' -odt float -rt nearest >/dev/null']); mri=MRIread('/tmp/kk2.mgz'); for z=1:size(mri.vol,3), mri.vol(:,:,z)=ceil((z+factor/2)/factor)*mri.vol(:,:,z); end; MRIwrite(mri,[outputMovieDir '/SL_frame_' num2str(fn,'%.4d') '.labels.mgz']); % Go around modes Nims=size(Mmri.vol,3); load(matFile,'historyX'); for mode=1:2 for j=1:size(historyX{mode},1) [mode j size(historyX{mode},1)] [~,~, warpedPhotos, warpedMasks, REFvox2ras0New] = ... costFunHardRef(historyX{mode}(j,:),cogREF,REFmri,Imri,Mmri,IIph,JJph,KKph,... 0,0,0,0, mode); fn=fn+1; mri=REFmri; mri.vox2ras0=REFvox2ras0New; mri.volres=sqrt(sum(REFvox2ras0New(1:3,1:3).^2)); MRIwrite(mri,[outputMovieDir '/REF_frame_' num2str(fn,'%.4d') '.mgz']); MRIwrite(mri,'/tmp/kk.mgz'); system('mri_convert /tmp/kk.mgz /tmp/kk2.mgz --conform -odt float >/dev/null'); system('mri_mc /tmp/kk2.mgz 1 /tmp/kk >/dev/null'); system(['mris_smooth -nw /tmp/kk ' outputMovieDir '/REF_frame_' num2str(fn,'%.4d') '.surf >/dev/null']); mri=Imri; mri.vol=warpedPhotos; MRIwrite(mri,[outputMovieDir '/SL_frame_' num2str(fn,'%.4d') '.mgz']) mri=Mmri; mri.vol=warpedMasks>.5; MRIwrite(mri,'/tmp/kk.mgz'); system(['mri_convert /tmp/kk.mgz /tmp/kk2.mgz --voxsize 1.5 1.5 ' num2str(factor) ' -odt float -rt nearest >/dev/null']); mri=MRIread('/tmp/kk2.mgz'); for z=1:size(mri.vol,3), mri.vol(:,:,z)=ceil((z+factor/2)/factor)*mri.vol(:,:,z); end; MRIwrite(mri,[outputMovieDir '/SL_frame_' num2str(fn,'%.4d') '.labels.mgz']); end end % -v SL_frame_0001.mgz -v SL_frame_0001.labels.mgz:colormap=lut -f REF_frame_0001.surf:color=255,0,0 disp('All done!');