From 4c8a6022b7f56ae399ee132b0a6af990fa832b95 Mon Sep 17 00:00:00 2001 From: Shir Filo Date: Mon, 24 Dec 2018 11:15:28 +0200 Subject: [PATCH] Added lower and upper bounds for the B1 fit and a testR1_BM flag --- Analysis/mrQ_Create.m | 4 +- Analysis/mrQ_Set.m | 6 +- Analysis/mrQ_T1wSynthesis2.m | 308 ++++++++++++++++++ Analysis/mrQ_run.m | 4 +- ArrangeData/mrQ_get_T1M0_files.m | 64 ++-- ArrangeData/mrQ_plotSummary.m | 68 +++- SEIR/T1FitExperimentData.m | 14 +- SEIR/mrQ_Call_AntsAlign_forSEIR_SPGR.m | 144 ++++++-- SEIR/mrQ_Call_AntsAlign_forSEIR_SPGR.m~ | 193 ----------- SEIR/mrQ_SEIR.m | 4 +- SEIR/mrQ_fitSEIR_T1.m | 31 +- SPGR/SPGR-T1M0_Fit/SPGR_LLS/mrQfit_T1M0_Lin.m | 10 +- SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_B1FitMask.m | 23 +- SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_B1_LRFit.m | 22 +- .../B1-epi-spgr/mrQ_fitB1LR_Call.m | 4 +- .../B1-epi-spgr/mrQ_smooth_LR_B1.m | 2 +- SPGR/SPGR_T1/LW_fit/mrQ_T1M0_LWFit.m | 5 +- SPGR/SPGR_T1/lsq_NL/mrQ_fitT1PD_LSQ.m | 6 +- .../CoilforPD_v2/FitPD/mrQ_fitM0boxesCall.m | 5 +- SPGR/SPGR_pre/mrQ_initSPGR.m | 5 +- mrQ_arrangeOutPutDir.m | 37 ++- mricron/dcm2nii | Bin 0 -> 801224 bytes mricron/dcm2niigui | Bin 0 -> 4971632 bytes mricron/example/attention.nii.gz | Bin 0 -> 3867 bytes mricron/example/clipnearr.ini | 23 ++ mricron/example/cut2.ini | 23 ++ mricron/example/cutr.ini | 23 ++ mricron/example/dcm2niigui.png | Bin 0 -> 10966 bytes mricron/example/fmri2r.ini | 24 ++ mricron/example/fmri3r.ini | 22 ++ mricron/example/fmrir.ini | 22 ++ mricron/example/lesionm.ini | 8 + mricron/example/lesions/1.voi | Bin 0 -> 17430 bytes mricron/example/lesions/10.voi | Bin 0 -> 10690 bytes mricron/example/lesions/11.voi | Bin 0 -> 11831 bytes mricron/example/lesions/12.voi | Bin 0 -> 13414 bytes mricron/example/lesions/13.voi | Bin 0 -> 10198 bytes mricron/example/lesions/14.voi | Bin 0 -> 15461 bytes mricron/example/lesions/15.voi | Bin 0 -> 10936 bytes mricron/example/lesions/16.voi | Bin 0 -> 11507 bytes 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mrQ.mmPerVox =[]; diff --git a/Analysis/mrQ_Set.m b/Analysis/mrQ_Set.m index ad4f25d..975a600 100755 --- a/Analysis/mrQ_Set.m +++ b/Analysis/mrQ_Set.m @@ -206,7 +206,9 @@ mrQ.SunGrid=varargin; case {'useabs', 'magnitude' 'abs'} mrQ.useAbs=varargin; - + case {'testR1_BM','testr1_bm'} % use R1 to creaste a BM for SEIR (might improve registration in some subjects) + mrQ.testR1_BM=varargin; + %Check: Has mrQ recorded it as done? case {'seir_done' } mrQ.SEIR_done=varargin; @@ -236,7 +238,7 @@ % threshold for spgr epi registration case{'AntsThresh', 'antsthresh','QuantAntsThresh','quantantsthresh'} mrQ.QuantAntsThresh=varargin; - case{'ants_bm','ANTS_bm','ANTS_brainmask'} + case{'ants_bm','ANTS_bm','ANTS_brainmask'} mrQ.ants_bm=varargin; otherwise error('Unknown mrQ parameter!'); diff --git a/Analysis/mrQ_T1wSynthesis2.m b/Analysis/mrQ_T1wSynthesis2.m new file mode 100644 index 0000000..76d26fa --- /dev/null +++ b/Analysis/mrQ_T1wSynthesis2.m @@ -0,0 +1,308 @@ +function [saveName,saveName1,saveName2,saveName3] =mrQ_T1wSynthesis2(mrQ,WFfile,T1file,BMfile, ... + outDir,symTR,symFA, saveName,saveName1,saveName2,saveName3,FullBMfile) +% [saveName,saveName1] =mrQ_T1wSynthesis1(mrQ,WFfile,T1file,BMfile, ... +% outDir,symTR,symFA, saveName,saveName1,saveName2,saveName3,FullBMfile) +% +% This function creates a series of synthetic T1-weighted images and saves +% them to the dataDir. One set of T1w images accounts for the PD, taken +% from the water fraction file, while the other set of T1w images does not. +% +% ~INPUTS~ +% mrQ: The mrQ structure +% WFfile: The path to the directory where the water fraction map +% is located. If unavailable, the default will take +% the linearly fitted M0 map. +% T1file: The path to the directory where the align.mat file +% exists from the getSEIR function earlier. +% BMFile: The path to the directory where the brain mask is +% located. It will be created if it doesn't yet exist. +% outDir: The path to where you would like to save the data. +% symTR: Simulated TR. [Default is 30 milliseconds] +% symFA: Simulated flipAngles. [Default is 30 degrees] +% saveName: The path to the directory where the synthetic T1 +% weighted image will be saved. +% saveName1: The path to the directory where the synthetic T1 +% weighted image (without accounting for PD) will be +% saved. +% FullBMfile: The path to the directory where the full brain mask is +% located. It will be created if it doesn't yet exist. +% +% ~OUTPUTS~ +% saveName: The path to the directory where the synthetic T1 +% weighted NIfTI image was saved. +% saveName1: The path to the directory where the synthetic T1 +% weighted NIfTI image (without accounting for PD) was +% saved. +% saveName2: The path to the directory where the synthetic T1 +% weighted NIfTI image (with accounting for 1./PD to bosththe contrast) was +% saved. +% See also: +% mrQ_fitT1M0.m +% +% (C) Stanford University, VISTA Lab [2012] +%(C) Hebruew University, Mezer Lab [2018] +% +% + +%% I. Check INPUTS and load files + +if(exist('T1file','var') && ~isempty(T1file)) + disp(['Loading T1 data from ' T1file '...']); +else + [T1file,~,~]=mrQ_get_T1M0_files(mrQ,1,0,0); + % T1file= fullfile(mrQ.spgr_initDir,'T1_map_lin.nii.gz'); +end + +t1=readFileNifti(T1file);t1=t1.data; + +if(exist('WFfile','var') && ~isempty(WFfile)) + disp(['Loading PD data from ' WFfile '...']); +elseif isfield(mrQ,'maps') + WFfile=mrQ.WFfile; +else + % If there is no water fraction map, default will take the linearly + % fitted M0 map, which was made in the function mrQfit_T1M0_Lin.m. + [~, WFfile,~]=mrQ_get_T1M0_files(mrQ,0,1,0); + +end + +PD=readFileNifti(WFfile);PD=PD.data; + +if notDefined('outDir') + outDir=mrQ.outDir; +end + +if ~exist(fullfile(outDir,'SyntheticT1w'),'dir') + mkdir(fullfile(outDir,'SyntheticT1w')); +end + +if (~exist('saveName_a','var') || isempty(saveName_a)), +saveName_a=fullfile(outDir,'SyntheticT1w','T1w_a.nii.gz'); +end + +if (~exist('saveName1_a','var') || isempty(saveName1_a)), +saveName1_a=fullfile(outDir,'SyntheticT1w','T1w1_a.nii.gz'); +end + +if (~exist('saveName2_a','var') || isempty(saveName2_a)), +saveName2_a=fullfile(outDir,'SyntheticT1w','T1w2_a.nii.gz'); +end + +if (~exist('saveName3_a','var') || isempty(saveName3_a)), +saveName3_a=fullfile(outDir,'SyntheticT1w','T1w3.nii.gz'); +end + +if (~exist('saveName3_b','var') || isempty(saveName3_b)), +saveName3_b=fullfile(outDir,'SyntheticT1w','T1w4.nii.gz'); +end + + +if (~exist('saveName','var') || isempty(saveName)), +saveName=fullfile(outDir,'SyntheticT1w','T1w.nii.gz'); +end + +if (~exist('saveName1','var') || isempty(saveName1)), +saveName1=fullfile(outDir,'SyntheticT1w','T1w1.nii.gz'); +end + +if (~exist('saveName2','var') || isempty(saveName2)), +saveName2=fullfile(outDir,'SyntheticT1w','T1w2.nii.gz'); +end + +if (~exist('saveName3','var') || isempty(saveName3)), +saveName3=fullfile(outDir,'SyntheticT1w','T1w3.nii.gz'); +end + + + + + +if (~exist('symTR','var') || isempty(symTR)), + symTR = 30; +end + +if (~exist('flipAngleIn','var') || isempty(symFA)), + symFA = 30; +end + +if(exist('BMfile','var') && ~isempty(BMfile)) + disp(['Loading brain Mask data from ' BMfile '...']); + brainMask = readFileNifti(BMfile); + xform=brainMask.qto_xyz; + + brainMask=logical(brainMask.data); +else + % Look for and load the brain mask - create one if necessary + [~,~,BMfile]=mrQ_get_T1M0_files(mrQ,0,0,1); +% BMfile = fullfile(mrQ.spgr_initDir,'HeadMask.nii.gz'); +end + +if (~exist('FullBMfile','var') || isempty(FullBMfile)), + % Look for and load the brain mask - create one if necessary + FullBMfile=BMfile; +end + + mask=readFileNifti(FullBMfile); + mask=mask.data; + +%% II. Calculate the synthetic T1 images + +t1w = zeros(size(t1)); + +% Calculate values for t1 and fa +t1 = t1.*1000; % msec +fa = symFA./180.*pi; + +% Calculate the synthetic t1 images +t1w = PD.*( (1-exp(-symTR./t1)).*sin(fa)./(1-exp(-symTR./t1).*cos(fa))); + +% ... For future exploration ... +%t1w = ( (1-exp(-symTR./t1)).*sin(fa)./(1-exp(-symTR./t1).*cos(fa))); % no PD +% t1w = t1w.*(1-PD); % get the PD to be in our side + +% scale up to have big number like a typical MRI +% t1w = t1w.*10000; + +% % clip outliers +% M=mean(t1w(brainMask)); +% S=std(t1w(brainMask)); +% +% up=min(10000,M+3*S); +% down=max(0,M-3*S); +% t1w(t1wup)=up; +% +% t1w(isnan(t1w))=down; +% +% t1w(isinf(t1w))=up; + % clip what we define as notbrain + + fprintf('\n Calculating T1w... \n'); + + t1w(~mask)=0; + +%% III. Now calculate the synthetic T1 images, without PD + t1ww = zeros(size(t1)); + +% Calculate values for t1 and fa +fa = symFA./180.*pi; + +% Calculate the synthetic t1 images +t1ww = ( (1-exp(-symTR./t1)).*sin(fa)./(1-exp(-symTR./t1).*cos(fa))); +% ^^ not multiplying by PD here! + + +% for future exploration +%t1w = ( (1-exp(-symTR./t1)).*sin(fa)./(1-exp(-symTR./t1).*cos(fa))); % no PD +% t1w = t1w.*(1-PD); % get the PD to be in our side + +% scale up to have big number like a typical MRI +% t1ww = t1ww.*10000; + +% clip outlayers +% M=mean(t1ww(brainMask)); +% S=std(t1ww(brainMask)); +% +% up=min(10000,M+3*S); +% down=max(0,M-3*S); +% t1ww(t1wwup)=up; +% +% t1ww(isnan(t1ww))=down; +% +% t1ww(isinf(t1ww))=up; + + % clip what we define as notbrain + t1ww(~mask)=0; + + +%% Iv. Lets overcome noise values using PD +RatioM=median(t1w(logical(mask))./t1ww(logical(mask))); +Ratio=(t1w./t1ww.*RatioM); +t1ww1=t1ww; +t1ww1(Ratio<0.2)=t1w(Ratio<0.2)/RatioM; +t1ww1(Ratio>1.9)=t1w(Ratio>1.9)/RatioM; + +%% v. Now calculate the synthetic T1 images, with 1./PD + t1www = zeros(size(t1)); + +% Calculate values for t1 and fa +fa = symFA./180.*pi; + +% Mmake PD contrast to be similar to T1w image (1/PD). +PD1=1./PD; +%find values that are too small +% MinVal=prctile(t1ww(logical(mask)),10); +% MinVal1=prctile(PD1(logical(mask)),1); +% PD1(isinf(PD1))=1; +% PD1(PD1>=2.5 | PD1<=0.02 |t1<50)=PD(PD1>=2.5 | PD1<=0.02 | t1<50); % +t1www=PD1.*t1ww; + t1www(~mask)=0; + +RatioM=median(t1w(logical(mask))./t1www(logical(mask))); +Ratio=t1w./(t1www.*RatioM); +t1www1=t1www; +t1www1(Ratio<0.1)=t1w(Ratio<0.1)./RatioM; +t1www1(Ratio>1.9)=t1w(Ratio>1.9)./RatioM; + + +% % Calculate the synthetic t1 images +% t1www = 1./PD.*( (1-exp(-symTR./t1)).*sin(fa)./(1-exp(-symTR./t1).*cos(fa))); +% % ^^ multiplying by 1./PD here will bost the contrat! +% MinVal1=prctile(T1WRaw1(logical(mask)),10); +% MinVal1=prctile(T1WRaw1(logical(mask)),10); +% +% % this image have problem with dividing small values by small values. this can solve some of it. +% %PD1(PD1<0.3)=1; +% % +% +% % clip what we define as notbrain +% t1www(~mask)=0; +% +% +% %% + +outFile = fullfile(mrQ.InitSPGR.spgr_initDir,'dat_aligned.mat'); %without coilWeights data + +disp(['Loading aligned data from ' outFile '...']); + +load(outFile); + flipAngles = [s(:).flipAngle]; +Hfa=find(flipAngles>10); +Lfa=find(flipAngles<10); + +T1WRaw=mean(cat(4,s(Hfa).imData),4); +MinVal=prctile(T1WRaw(logical(mask)),10); +T1WRaw1=mean(cat(4,s(Lfa).imData),4); +MinVal1=prctile(T1WRaw1(logical(mask)),10); + +T1WRaw1(T1WRaw1<=MinVal1 & T1WRaw<=MinVal)=100; + +t1wwww=T1WRaw./T1WRaw1; + + + RatioM=median(T1WRaw(logical(mask))./t1wwww(logical(mask))); +Ratio=T1WRaw./(t1wwww.*RatioM); +t1wwww1=t1wwww; +t1wwww1(Ratio<0.1)=T1WRaw(Ratio<0.1)./RatioM; +t1wwww1(Ratio>1.9)=T1WRaw(Ratio>1.9)./RatioM; + + +%% VI. Save out the resulting NIfTI files + +% Write them to disk +disp('2. Saving synthetic T1w images.'); +dtiWriteNiftiWrapper(single(t1w), mrQ.xform, saveName); +dtiWriteNiftiWrapper(single(t1ww), mrQ.xform, saveName1); +dtiWriteNiftiWrapper(single(t1www), mrQ.xform, saveName2); +dtiWriteNiftiWrapper(single(t1wwww), mrQ.xform, saveName3); + +%more styT1 options +% dtiWriteNiftiWrapper(single(t1w1), mrQ.xform, saveName_a); +% dtiWriteNiftiWrapper(single(t1ww1), mrQ.xform, saveName1_a); +% dtiWriteNiftiWrapper(single(t1www1), mrQ.xform, saveName2_a); +% dtiWriteNiftiWrapper(single(t1wwww1), mrQ.xform, saveName3_a); +% dtiWriteNiftiWrapper(single(T1WRaw), mrQ.xform, saveName3_b); + + +return \ No newline at end of file diff --git a/Analysis/mrQ_run.m b/Analysis/mrQ_run.m index 01a33fe..6ef1cdd 100755 --- a/Analysis/mrQ_run.m +++ b/Analysis/mrQ_run.m @@ -168,7 +168,7 @@ function mrQ_run(dir,outDir,inputData_spgr,inputData_seir,B1file, varArgIn) if (mrQ.SEIR_done==0); % ARRANGE SEIR data - if ~isfield(mrQ,'ArrangeSEIR_Date'); + if ~isfield(mrQ,'ArrangeSEIR_Date') if ~notDefined('inputData_seir') mrQ = mrQ_arrangeSEIR_nimsfs(mrQ,inputData_seir); @@ -330,7 +330,7 @@ function mrQ_run(dir,outDir,inputData_spgr,inputData_seir,B1file, varArgIn) % % XIII. Create a series of synthetic T1w images - [mrQ.T1w_file,mrQ.T1w_file1] =mrQ_T1wSynthesis1(mrQ); + [mrQ.T1w_file,mrQ.T1w_file1,mrQ.T1w_file2,mrQ.T1w_file3] =mrQ_T1wSynthesis2(mrQ); save(mrQ.name,'mrQ'); fprintf('\n Calculation synthetic T1w- done! \n'); diff --git a/ArrangeData/mrQ_get_T1M0_files.m b/ArrangeData/mrQ_get_T1M0_files.m index 7e98d4a..ab5f275 100755 --- a/ArrangeData/mrQ_get_T1M0_files.m +++ b/ArrangeData/mrQ_get_T1M0_files.m @@ -1,4 +1,4 @@ -function [T1file, M0file,BMfile]=Strac_get_T1M0_files(Strac,whT1,whM0,whBM) +function [T1file, M0file,BMfile]=get_T1M0_files(Strac,whT1,whM0,whBM) % function [T1file, M0file,BMfile]=mrQ_get_T1M0_files(mrQ,whT1,whM0,whBM) % % Search for the T1, M0 and Brain Mask files. Can be one of three file @@ -31,15 +31,15 @@ if whT1 T1file=[]; -%% - + %% -%% II. Looking for the T1 file -% Look for linear fit, weighted linear, non-linear -% Then, check manually -% If all this fails, present error message. - -%% II-a. Is there a linear fit T1 file? + + %% II. Looking for the T1 file + % Look for linear fit, weighted linear, non-linear + % Then, check manually + % If all this fails, present error message. + + %% II-a. Is there a linear fit T1 file? %Find T1 if isfield(Strac,'T1_LFit') @@ -57,12 +57,12 @@ % Maybe after B1 correction? if isfield(Strac,'T1_B1_LFit') - if exist(Strac.T1_B1_LFit,'file') + if exist(Strac.T1_B1_LFit,'file') T1file= Strac.T1_B1_LFit; end end -%% II-b. Is there a weighted linear T1 file? + %% II-b. Is there a weighted linear T1 file? if isfield(Strac,'T1_B1_LWFit') if exist(Strac.T1_B1_LWFit,'file') @@ -70,7 +70,7 @@ end end -%% II-c. Is there an non-linear T1 file? + %% II-c. Is there an non-linear T1 file? if isfield(Strac,'T1_B1_lsqFit') if exist(Strac.T1_B1_lsqFit,'file') @@ -79,11 +79,11 @@ end - - - + + + %% II-d. Maybe it is already in the outputDir? @@ -94,12 +94,12 @@ end end end -%% II-e. Select manually + %% II-e. Select manually if isempty(T1file) T1file = mrvSelectFile('r','*.nii.gz','Select T1 fit file',Strac.spgr_initDir); end -%% II-f. Still can't find it (error) + %% II-f. Still can't find it (error) if isempty(T1file) error('Cannot find the T1file') @@ -114,7 +114,7 @@ %%% % -%% III. Looking for the M0 file +%% III. Looking for the M0 file % Look for linear fit, weighted linear, non-linear % Then, check in the outputDir % If all this fails, present error message. @@ -125,14 +125,14 @@ M0file=[]; if isfield(Strac,'M0_LFit') - if exist(Strac.M0_LFit,'file') + if exist(Strac.M0_LFit,'file') M0file= Strac.M0_LFit; end end % the same but with larger mask if isfield(Strac,'M0_LFit_HM') - if exist(Strac.M0_LFit_HM,'file') + if exist(Strac.M0_LFit_HM,'file') M0file= Strac.M0_LFit_HM; end end @@ -140,12 +140,12 @@ % Maybe after B1 correction? if isfield(Strac,'M0_B1_LFit') - if exist(Strac.M0_B1_LFit,'file') + if exist(Strac.M0_B1_LFit,'file') M0file= Strac.M0_B1_LFit; end end - -%% III-b. Is there a weighted-linear M0 file? + + %% III-b. Is there a weighted-linear M0 file? if isfield(Strac,'M0_B1_LWFit') @@ -153,7 +153,7 @@ M0file= Strac.M0_B1_LWFit; end end -%% III-c. Is there a non-linear M0 file? + %% III-c. Is there a non-linear M0 file? if isfield(Strac,'M0_B1_lsqFit') @@ -163,14 +163,14 @@ end % Are we using multi coils data. if yes this will be the M0 - if isfield(Strac,'M0combineFile') + if isfield(Strac,'M0combineFile') if exist(Strac.M0combineFile,'file') M0file= Strac.M0combineFile; end end - -% + + % % Note that we are not moving the M0 image to the output Dir, so we are % not looking for it there. @@ -178,7 +178,7 @@ M0file = mrvSelectFile('r','*.nii.gz','Select T1 fit file',Strac.spgr_initDir); end -%% III-e. Lastly, still can't find it (error) + %% III-e. Lastly, still can't find it (error) if isempty(M0file) error('Cannot find the M0file') @@ -205,23 +205,23 @@ end end - if isfield(Strac,'HMfile') + if isfield(Strac,'HMfile') if exist(Strac.HMfile,'file') BMfile= Strac.HMfile; end end - if isfield(Strac,'FullMaskFile') + if isfield(Strac,'FullMaskFile') if exist(Strac.FullMaskFile,'file') BMfile= Strac.FullMaskFile; end end - + if isempty(BMfile) BMfile = mrvSelectFile('r','*.nii.gz','Select T1 fit file',Strac.spgr_initDir); end -%% IV-b. Can't find it (error) + %% IV-b. Can't find it (error) if isempty(BMfile) error('Can not find the brain mask file') diff --git a/ArrangeData/mrQ_plotSummary.m b/ArrangeData/mrQ_plotSummary.m index 65d02de..a357410 100755 --- a/ArrangeData/mrQ_plotSummary.m +++ b/ArrangeData/mrQ_plotSummary.m @@ -15,7 +15,7 @@ function mrQ_plotSummary(mrQ) if isfield(mrQ.maps, 'T1path') if exist(mrQ.maps.T1path,'file') tmp=readFileNifti(mrQ.maps.T1path); - subplot(5,2,1) + subplot(3,2,1) imagesc(tmp.data(:,:,round(end/2))) colormap('gray'), colorbar, caxis([0.5,2.5]), title('T1') @@ -27,7 +27,7 @@ function mrQ_plotSummary(mrQ) if isfield(mrQ, 'T1w_files') if exist([mrQ.T1w_files,'/T1w.nii.gz'],'file') tmp=readFileNifti([mrQ.T1w_files,'/T1w.nii.gz']); - subplot(5,2,2) + subplot(3,2,2) imagesc(tmp.data(:,:,round(end/2))) colormap('gray'), colorbar caxis([0,0.2]), title('T1w') @@ -39,7 +39,7 @@ function mrQ_plotSummary(mrQ) if isfield(mrQ.maps, 'WFpath') if exist(mrQ.maps.WFpath,'file') tmp=readFileNifti(mrQ.maps.WFpath); - subplot(5,2,3) + subplot(3,2,3) imagesc(tmp.data(:,:,round(end/2))) colormap('gray'), colorbar caxis([0.3,1]), title('WF') @@ -51,7 +51,7 @@ function mrQ_plotSummary(mrQ) if isfield(mrQ.maps, 'TVpath') if exist(mrQ.maps.TVpath,'file') tmp=readFileNifti(mrQ.maps.TVpath); - subplot(5,2,4) + subplot(3,2,4) imagesc(tmp.data(:,:,round(end/2))) colormap('gray'), colorbar caxis([0,0.5]), title('MTV') @@ -63,7 +63,7 @@ function mrQ_plotSummary(mrQ) if isfield(mrQ.maps, 'VIPpath') if exist(mrQ.maps.VIPpath,'file') tmp=readFileNifti(mrQ.maps.VIPpath); - subplot(5,2,5) + subplot(3,2,5) imagesc(tmp.data(:,:,round(end/2))) colormap('gray'), colorbar caxis([0,0.5]), title('VIP') @@ -74,7 +74,7 @@ function mrQ_plotSummary(mrQ) if isfield(mrQ.maps, 'SIRpath') if exist(mrQ.maps.SIRpath,'file') tmp=readFileNifti(mrQ.maps.SIRpath); - subplot(5,2,6) + subplot(3,2,6) imagesc(tmp.data(:,:,round(end/2))) colormap('gray'), colorbar caxis([0.2,0.6]), title('SIR') @@ -82,16 +82,31 @@ function mrQ_plotSummary(mrQ) end end +%% make sure it spans the entire "height" of the screen +scrSize=get(0,'ScreenSize'); +scrSize(3) = scrSize(3)/2; +set(gcf,'position',scrSize) +imageName1=fullfile(mrQ.OutPutNiiDir,'summary.fig'); +imageName2=fullfile(mrQ.OutPutNiiDir,'summary.jpg'); + +saveas(h,imageName1); +saveas(h,imageName2); +pause(2) +close(h) + +%% open another figure + +h = figure;set(h, 'Visible', 'off'); %% go over bias maps biadDir=fullfile(mrQ.OutPutNiiDir,'BiasMap'); % % % % B1 -if isfield(mrQ, 'B1FileName'); +if isfield(mrQ, 'B1FileName') if exist(mrQ.B1FileName,'file') tmp=readFileNifti(mrQ.B1FileName); - subplot(5,2,7) + subplot(3,2,1) imagesc(tmp.data(:,:,round(end/2))) colormap('gray'), colorbar title('B1') @@ -103,7 +118,7 @@ function mrQ_plotSummary(mrQ) Gpath=fullfile(biadDir,'Gains.nii.gz'); if exist(Gpath,'file') tmp=readFileNifti(Gpath); - subplot(5,2,8) + subplot(3,2,2) imagesc(tmp.data(:,:,round(end/2))) colormap('gray'), colorbar title('Gains') @@ -117,12 +132,39 @@ function mrQ_plotSummary(mrQ) if isfield(mrQ, 'T1w_tissue'); if exist(mrQ.T1w_tissue,'file') tmp=readFileNifti(mrQ.T1w_tissue); - subplot(5,2,9) + subplot(3,2,3) imagesc(tmp.data(:,:,round(end/2))) colormap('gray'), colorbar, title('tissue segmentation') set(gca,'xTick',[],'yTick',[]) end end + +%% get T1_SEIR with MO BM file + +% % % % Segmentation file +if isfield(mrQ,'SEIR_epi_T1bmfile'); + if exist(mrQ.SEIR_epi_T1bmfile,'file') + tmp=readFileNifti(mrQ.SEIR_epi_T1bmfile); + subplot(3,2,4) + imagesc(tmp.data(:,:,round(end/2))) + colormap('gray'), colorbar, title('T1_SEIR with BM_MO','Interpreter', 'none') + set(gca,'xTick',[],'yTick',[]) + end +end + +%% get T1_SEIR with R1 BM file + +% % % % Segmentation file +if isfield(mrQ, 'SEIR_epi_T1bmfile_fromR1') + if exist(mrQ.SEIR_epi_T1bmfile_fromR1,'file') + tmp=readFileNifti(mrQ.SEIR_epi_T1bmfile_fromR1); + subplot(3,2,5) + imagesc(tmp.data(:,:,round(end/2))) + colormap('gray'), colorbar, title(sprintf('T1_SEIR with BM from R1 \n(If better than BM_MO rerun with testR1__BM flag)'),'Interpreter', 'none') + set(gca,'xTick',[],'yTick',[]) + end +end + %% plot overlay of SEIR and SPGRr if isfield(mrQ,'SEIR_epi_T1file') & isfield(mrQ,'Ants_Info') @@ -135,7 +177,7 @@ function mrQ_plotSummary(mrQ) tmp=tmp.data(:,:,round(end/2));overIm=double(overIm.data(:,:,round(end/2))); overIm = overIm./max(overIm(:))*256; tmp = tmp./max(tmp(:))*256; - subplot(5,2,10) + subplot(3,2,6) imagesc((tmp-overIm)./(tmp+overIm)) colormap('gray'), colorbar, caxis([-1 1]) title(sprintf('SEIR-SPGR \n(should have minimal structure)')) @@ -175,8 +217,8 @@ function mrQ_plotSummary(mrQ) scrSize(3) = scrSize(3)/2; set(gcf,'position',scrSize) -imageName1=fullfile(mrQ.OutPutNiiDir,'summary.fig'); -imageName2=fullfile(mrQ.OutPutNiiDir,'summary.jpg'); +imageName1=fullfile(mrQ.OutPutNiiDir,'summary_BiasMaps.fig'); +imageName2=fullfile(mrQ.OutPutNiiDir,'summary_BiasMaps.jpg'); saveas(h,imageName1); saveas(h,imageName2); diff --git a/SEIR/T1FitExperimentData.m b/SEIR/T1FitExperimentData.m index 562bb36..6106676 100755 --- a/SEIR/T1FitExperimentData.m +++ b/SEIR/T1FitExperimentData.m @@ -201,10 +201,13 @@ function T1FitExperimentData(loadStr, saveStr, method, checkData) data = tmpData; %#ok clear tmpData; +doParal = usejava('jvm') + startTime = cputime; fprintf('Processing %d voxels.\n', nVoxAll); +if doParal==1 h = waitbar(0, sprintf('Processing %d voxels', nVoxAll)); - +end for ii=1:nSteps curInd = (ii-1)*numVoxelsPerUpdate+1; endInd = min(curInd+numVoxelsPerUpdate,nVoxAll); @@ -216,13 +219,18 @@ function T1FitExperimentData(loadStr, saveStr, method, checkData) eval(storeStr); % Store the data end - - waitbar(ii/nSteps, h, sprintf('Processing %d voxels, %g percent done...\n',nVoxAll,round(endInd/nVoxAll*100))); + if doParal==1 + waitbar(ii/nSteps, h, sprintf('Processing %d voxels, %g percent done...\n',nVoxAll,round(endInd/nVoxAll*100))); + end end % Clean up eval(clearStr) + + +if doParal==1 close(h); +end timeTaken = round(cputime - startTime); fprintf('Processed %d voxels in %g seconds.\n',nVoxAll, timeTaken); diff --git a/SEIR/mrQ_Call_AntsAlign_forSEIR_SPGR.m b/SEIR/mrQ_Call_AntsAlign_forSEIR_SPGR.m index bedd1a6..cfe90c1 100755 --- a/SEIR/mrQ_Call_AntsAlign_forSEIR_SPGR.m +++ b/SEIR/mrQ_Call_AntsAlign_forSEIR_SPGR.m @@ -15,57 +15,121 @@ % % (C) Mezer lab, the Hebrew University of Jerusalem, Israel, Copyright 2016 -if ~isfield(mrQ,'QuantAntsThresh'); +if ~isfield(mrQ,'QuantAntsThresh') mrQ.QuantAntsThresh=0.65; end if ~isfield(mrQ,'ants_bm') mrQ.ants_bm=0; end -Ants_Info.QuantAnts2High(1:length(mrQ.inputdata_seir.IT),1:4)=inf; +if ~isfield(mrQ,'testR1_BM') + mrQ.testR1_BM=0; +end + +% In some cases we get better BrainMask for the SEIR map with R1. +%if this flag is on we will try registration with the BrainMask from R1. +testR1_BM=mrQ.testR1_BM; + +tryR1mask=0; % for other iterations don't use BrainMask from R1. +use_TtSp=0; +if testR1_BM==1 % if testR1_BM is on there will be 3 trials + iter_num=3; +else + iter_num=2; % normally there will be be 2 trials +end + +iter_start =1; + +if isfield(mrQ,'Ants_Info') % If you rerun with flag testR1_BM and the previous iterations allready exists + if isfield(mrQ.Ants_Info,'QuantAnts2High') && testR1_BM==1 + if any(mrQ.Ants_Info.QuantAnts2High(:)>0 & mrQ.Ants_Info.QuantAnts2High(:) Ants_Info.QuantAntsScore @@ -153,12 +228,13 @@ mrQ.SEIR_epi_fitFile = mrQ.SEIRfits{ii}.SEIR_epi_fitFile; mrQ.SEIR_epi_M0file = mrQ.SEIRfits{ii}.SEIR_epi_M0file; mrQ.SEIR_epi_Maskfile =mrQ.SEIRfits{ii}.SEIR_epi_Maskfile; - + mrQ.SEIR_epi_T1bmfile_fromR1=mrQ.SEIRfits{ii}.SEIR_epi_T1bmfile_fromR1; + mrQ.SEIR_epi_T1bmfile=mrQ.SEIRfits{ii}.SEIR_epi_T1bmfile; Ants_Info.Use_BrainMask = useBM; end % check if the current (best) registration is good enough - if Ants_Info.QuantAntsScore< mrQ.QuantAntsThresh; + if Ants_Info.QuantAntsScore< mrQ.QuantAntsThresh Ants_Info.QuantAnts2High(ii,jj)=0; % % deleting temp folders @@ -189,7 +265,7 @@ end end - if Ants_Info.QuantAntsScore< mrQ.QuantAntsThresh; + if Ants_Info.QuantAntsScore< mrQ.QuantAntsThresh break; end diff --git a/SEIR/mrQ_Call_AntsAlign_forSEIR_SPGR.m~ b/SEIR/mrQ_Call_AntsAlign_forSEIR_SPGR.m~ deleted file mode 100755 index 106e9b7..0000000 --- a/SEIR/mrQ_Call_AntsAlign_forSEIR_SPGR.m~ +++ /dev/null @@ -1,193 +0,0 @@ -function mrQ=mrQ_Call_AntsAlign_forSEIR_SPGR(mrQ) -% mrQ=mrQ_Call_AntsAlign_forSEIR_SPGR(mrQ) -% -% This function will try to register the SPGR T1 to a fitted T1 SEIR using -% ANTS. We will make sure that the registration is good by the gradient -% between the two images. in cases the registration is off up to a -% threshold (mrQ.QuantAntsThresh). Note that this threshold might be -% different between scanners and depends on image quality and epi -% artifacts. We find 0.65 to be good on GE Discovery MR750 and 0.8 for -% Siemens Skyra we will try different starting point. To do so we will -% register the SEIR image each time to a different inversion time image. -% Additionally, we will try to register the SPGR to an ACPC space or to -% native space. Last we will crop the SPGR image and remove dark area that -% can effect the registration. -% -% (C) Mezer lab, the Hebrew University of Jerusalem, Israel, Copyright 2016 - -if isfield(mrQ,'QuantAntsThresh'); -else - mrQ.QuantAntsThresh=0.65; -end - -Ants_Info.QuantAnts2High(1:length(mrQ.inputdata_seir.IT),1:3)=inf; - -for jj=1:3 - if jj==1 - SPGR_T1_file=mrQ.LinFit.T1_LFit_HM; - spgr_initDir=mrQ.InitSPGR.spgr_initDir; - SPGRFieldName='InitSPGR'; - elseif jj==2 - - if isnan(mrQ.refIm) % if so we are already in native space. no need - else - [mrQ.InitSPGR_NtSp]=mrQ_initSPGR(mrQ.SPGR,nan,mrQ.mmPerVox,mrQ.interp,mrQ.skip,[],mrQ); - spgr_initDir=mrQ.InitSPGR_NtSp.spgr_initDir; - - [mrQ.LinFit_NtSp]=mrQfit_T1M0_Lin(mrQ,spgr_initDir); - - SPGR_T1_file=mrQ.LinFit_NtSp.T1_LFit_HM; - SPGRFieldName='InitSPGR_NtSp'; - - mrQ.B1Raw2ACPC=true; - save(mrQ.name,'mrQ'); - - end - elseif jj==3 - if isfield(mrQ,'NBF_Tresh'); - else - mrQ.NBF_Tresh=0.75; - end - - SPGR_T1_file=mrQ.LinFit.T1_LFit_HM; - spgr_initDir=mrQ.InitSPGR.spgr_initDir; - SPGRFieldName='InitSPGR'; - - t1=readFileNifti(SPGR_T1_file); - t1.data(:,:,find(mrQ.LinFit.FracNonBrainT1 Ants_Info.QuantAntsScore - - - Ants_Info.WARP_SPGR_EPI = WARP_SPGR_EPI; - Ants_Info.T1_spgr_epi=T1_spgr_epi; - - % Saving the epi alignment parameters - Ants_Info.SEIR_SPGR_Curent_AlignNums=[ii,jj]; - Ants_Info.SEIR_SPGR_Curent_AlignDirs={SEIR_fit_dir, spgr_initDir}; - Ants_Info.SPGRFieldName=SPGRFieldName; - - %saving the SEIR files - mrQ.SEIR_epi_T1file = mrQ.SEIRfits{ii}.SEIR_epi_T1file; - mrQ.SEIR_epi_resnormfile = mrQ.SEIRfits{ii}.SEIR_epi_resnormfile; - mrQ.SEIR_epi_fitFile = mrQ.SEIRfits{ii}.SEIR_epi_fitFile; - mrQ.SEIR_epi_M0file = mrQ.SEIRfits{ii}.SEIR_epi_M0file; - mrQ.SEIR_epi_Maskfile =mrQ.SEIRfits{ii}.SEIR_epi_Maskfile; - end - - - if Ants_Info.QuantAntsScore< mrQ.QuantAntsThresh; - Ants_Info.QuantAnts2High(ii,jj)=0; - - % % deleting temp folders - % cmd = ['rm -Rf ', AntsTmpPath]; - % system(cmd); - % % we can cosider removing all the extra epi fits; - % cmd = ['rm -Rf ', SEIRFitTmpPath]; - % system(cmd); - % - mrQ.Ants_Info=Ants_Info; - - save(mrQ.name,'mrQ'); - - break - else - % if the registration quality did not pass the threshold, we will - % keep the values of the registration quality and move on to the - % next iteration. - - % Ants_Info.WARP_SPGR_EPI = best_WARP_SPGR_EPI; - % Ants_Info.T1_spgr_epi = best_T1_spgr_epi; - Ants_Info.QuantAnts2High(ii,jj)=Ants_Info.QuantAntsScore; - % mrQ.SEIR_epi_AlignImToHigh{ii}=SEIR_epi_AlignIm; - mrQ.Ants_Info=Ants_Info; - - save(mrQ.name,'mrQ'); - - display('The registration between thr SPGR and EPI is not good enough, \n We will refit T1 and then try again.') - end - end - - if Ants_Info.QuantAntsScore< mrQ.QuantAntsThresh; - break; - end - -end \ No newline at end of file diff --git a/SEIR/mrQ_SEIR.m b/SEIR/mrQ_SEIR.m index ff2c66b..f548715 100755 --- a/SEIR/mrQ_SEIR.m +++ b/SEIR/mrQ_SEIR.m @@ -21,8 +21,10 @@ % % % % mrQ=mrQ_Call_FSLAlign_forSEIR_SPGR(mrQ); % % % % end % IF FSL was also unsuccessfull, break and look at the data -if mrQ.Ants_Info.QuantAntsScore > mrQ.QuantAntsThresh; +if mrQ.Ants_Info.QuantAntsScore > mrQ.QuantAntsThresh && mrQ.testR1_BM==1 error('we can not trust the EPI-SPGR registration \nPlease manually check the registration between \n %s and \n %s \n If it is ok, manually change mrQ.SEIR_done to be =1, save mrQ, and rerun.', mrQ.SEIR_epi_T1file,mrQ.Ants_Info.T1_spgr_epi) +elseif mrQ.Ants_Info.QuantAntsScore > mrQ.QuantAntsThresh && mrQ.testR1_BM==0 + error('we can not trust the EPI-SPGR registration \nPlease manually check the registration between \n %s and \n %s \n If it is ok, manually change mrQ.SEIR_done to be =1, save mrQ, and rerun. \n \n You can also test if the skull strip generated from R1: \n %s \n is better compred to the skull strip used in this run: \n %s \n If it is better, change mrQ.testR1_BM to be =1, save mrQ, and rerun', mrQ.SEIR_epi_T1file,mrQ.Ants_Info.T1_spgr_epi,mrQ.SEIR_epi_T1bmfile_fromR1,mrQ.SEIR_epi_T1bmfile) end %% diff --git a/SEIR/mrQ_fitSEIR_T1.m b/SEIR/mrQ_fitSEIR_T1.m index f0ad132..2e56758 100755 --- a/SEIR/mrQ_fitSEIR_T1.m +++ b/SEIR/mrQ_fitSEIR_T1.m @@ -119,18 +119,32 @@ dtiWriteNiftiWrapper(single(M0), xform, M0file); mmPerVox=[abs(xform(1,1)) abs(xform(2,2)) abs(xform(3,3))]; -[brainMask,checkSlices] = mrAnatExtractBrain(M0, mmPerVox, 0.5); %scale strip FSL BET - +[brainMaskMO,checkSlices] = mrAnatExtractBrain(M0, mmPerVox, 0.5); %scale strip FSL BET +% But now, prepare a temporary R1 map, which could be better for bet brain mask calculation +R1 = 1./(T1/1000); +R1(R1>2) = 0; +R1file = [saveStr '_R1.nii.gz']; %save Brain mask SEIR +dtiWriteNiftiWrapper(R1,xform,R1file); +[brainMaskR1,checkSlices] = mrAnatExtractBrain(R1file, mmPerVox, 0.5); %scale strip FSL BET out = fullfile(tempdir,'bet_tmp'); delete([out,'.img']) % remove tmp BET file delete([out,'.hdr']) % remove tmp BET file -brainMask= brainMask & mask; + +brainMaskR1= brainMaskR1 & mask; +brainMaskR1(:,:,1)=0;brainMaskR1(:,:,end)=0; +BrainMaskfile=[saveStr '_BrainMask_fromR1.nii.gz']; %save Brain mask SEIR from R1 +dtiWriteNiftiWrapper(single(brainMaskR1), xform, BrainMaskfile); +SEIR.SEIR_epi_M0file=M0file; +SEIR.SEIR_epi_Maskfile2=BrainMaskfile; + + +brainMask= brainMaskMO & mask; brainMask(:,:,1)=0;brainMask(:,:,end)=0; -BrainMaskfile=[saveStr '_BrainMask.nii.gz']; %save Brain mask SEIR +BrainMaskfile=[saveStr '_BrainMask_fromMO.nii.gz']; %save Brain mask SEIR from MO dtiWriteNiftiWrapper(single(brainMask), xform, BrainMaskfile); -SEIR.SEIR_epi_M0file=M0file; +SEIR.SEIR_epi_R1file=R1file; SEIR.SEIR_epi_Maskfile=BrainMaskfile; @@ -139,7 +153,12 @@ T1_BM(~brainMask)=0; dtiWriteNiftiWrapper(single(T1_BM), xform, T1_BMfile); - SEIR.SEIR_epi_T1bmfile=T1_BMfile; +T1_BMfile2=[saveStr '_T1_BM_fromR1.nii.gz']; +T1_BM2 = ll_T1(:,:,:,1); +T1_BM2(~brainMaskR1)=0; +dtiWriteNiftiWrapper(single(T1_BM2), xform, T1_BMfile2); + +SEIR.SEIR_epi_T1bmfile_fromR1=T1_BMfile2; return diff --git a/SPGR/SPGR-T1M0_Fit/SPGR_LLS/mrQfit_T1M0_Lin.m b/SPGR/SPGR-T1M0_Fit/SPGR_LLS/mrQfit_T1M0_Lin.m index 7391259..bb2a6ab 100755 --- a/SPGR/SPGR-T1M0_Fit/SPGR_LLS/mrQfit_T1M0_Lin.m +++ b/SPGR/SPGR-T1M0_Fit/SPGR_LLS/mrQfit_T1M0_Lin.m @@ -183,12 +183,16 @@ % selecting the relevant slices (this is not beautiful) HM=B1; + %% HM(s(jj).imData350 ; -brainMask=brainMask & (Res{1}.im./(Res{2}.im*1000))> 0.5; - +%% A.M and S.F check the effect of more premisive B1 mask +%OLD version + brainMask=brainMask & (Res{1}.im./(Res{2}.im*1000))< 1.5 & Res{1}.im<2500 & Res{1}.im>350 ; + brainMask=brainMask & (Res{1}.im./(Res{2}.im*1000))> 0.5; +% New +%brainMask=Res{2}.im>0 & Res{1}.im>0; + +%BM_path=fullfile(fileparts(SET1Fitfile),'T1FitNLSPR_SEIR_Dat_BrainMask.nii.gz'); +%BM_SEIR=readFileNifti(BM_path); +%brainMask=BM_SEIR.data>0 & Res{2}.im>0 & Res{1}.im>0; %% II. Load the SEIR fitting matrix and mask according to the fit, residuals and outliers load (SET1Fitfile); @@ -46,9 +53,9 @@ % The mask needs to be without outliers in SEIR fit. % Here we remove the voxels with big residuals in the SEIR fit -brainMask=~isinf(SEIRResid) & SEIRResid>0 & brainMask; -brainMask_copy=brainMask; -brainMask=brainMask & SEIRResid0 & brainMask; + brainMask_copy=brainMask; + brainMask=brainMask & SEIRResidprctile(b_fitparam(brainMask_copy),5) &a_fitparamprctile(a_fitparam(brainMask_copy),5) &b_fitparamprctile(b_fitparam(brainMask_copy),5) &a_fitparamprctile(a_fitparam(brainMask_copy),5) &b_fitparam prctile(WarpZ(brainMask_copy),2) & WarpY< prctile(WarpY(brainMask_copy),98) & WarpY> prctile(WarpY(brainMask_copy),2) & WarpX< prctile(WarpX(brainMask_copy),98) & WarpX> prctile(WarpX(brainMask_copy),2) ; + %% V. SAVE if notDefined('outDir') outDir=fileparts(AlignFile); diff --git a/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_B1_LRFit.m b/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_B1_LRFit.m index e6f88e4..8a30684 100755 --- a/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_B1_LRFit.m +++ b/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_B1_LRFit.m @@ -44,17 +44,22 @@ function mrQ_B1_LRFit(IDnum,jumpindex,jobindex) % initialize the saved parameters exitflag=zeros(nIteration,1); resnorm=zeros(nIteration,1); +resnorm_noTresh=zeros(nIteration,1); + UseVoxN=zeros(nIteration,1); skip=zeros(nIteration,1); Iter=0; B1=zeros(nIteration,1); - +B1_noTresh=zeros(nIteration,1); options = optimset('Display','off',... 'MaxFunEvals',Inf,... 'MaxIter',Inf,... 'TolFun', 1e-6,... 'TolX', 1e-10,... - 'Algorithm','levenberg-marquardt'); + 'Algorithm','trust-region-reflective'... +); +% 'Algorithm','levenberg-marquardt' + % make mask BM=readFileNifti(opt.tisuuemaskFile); BM=logical(BM.data); @@ -98,22 +103,27 @@ function mrQ_B1_LRFit(IDnum,jumpindex,jobindex) [B1(Iter) ,resnorm(Iter),~,exitflag(Iter)] = ... lsqnonlin(@(par) errB1_LR(par, flipAngles,tr,double(S),double(t1(:)),... double(f1), BM1(:), ratios),... - 1,[],[],options); - + 1,0.3,1.7,options); + B1_noTresh(Iter)=B1(Iter); + resnorm_noTresh(Iter)=resnorm(Iter); % Something wrong with the flip angle, I believe. % Check the ANat call and file orders!!! + if B1(Iter)==0.3 || B1(Iter)==0.7 + B1(Iter)=0; + resnorm(Iter)=0; + end end -end; +end toc %% III. Cross-Validation Fit % We can save some of the ratio and cross-validate the poly degree or box size. name=[ opt.name '_' num2str(st) '_' num2str(ed)]; -save(name,'B1','resnorm','exitflag','st','ed','skip','UseVoxN' ) +save(name,'B1','B1_noTresh','resnorm','resnorm_noTresh','exitflag','st','ed','skip','UseVoxN' ) end diff --git a/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_fitB1LR_Call.m b/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_fitB1LR_Call.m index 8b0a876..3ea8b94 100755 --- a/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_fitB1LR_Call.m +++ b/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_fitB1LR_Call.m @@ -152,7 +152,9 @@ function mrQ_fitB1LR_Call(opt_logname,SunGrid,RunSelectedJob,GridOutputDir,clobb % Parallel Processing - if has_PCTbox == 0 %no PCTbox, and thus no parfor + doParal = usejava('jvm'); + + if has_PCTbox == 0 || doParal==0 %no PCTbox, and thus no parfor opt.jumpindex=jumpindex; save(opt.logname,'opt'); diff --git a/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_smooth_LR_B1.m b/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_smooth_LR_B1.m index eda9ce0..85a6cc5 100755 --- a/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_smooth_LR_B1.m +++ b/SPGR/SPGR-epi-B1/B1-epi-spgr/mrQ_smooth_LR_B1.m @@ -43,7 +43,7 @@ tissuemask=resnormMap>0; % don't use the misfit location tissuemask=tissuemask & errMap< prctile(errMap(tissuemask),95); - +%tissuemask=tissuemask & errMap<0.15; %% II. Fit local regressions % We will smoothe the B1 map by using local regressions. diff --git a/SPGR/SPGR_T1/LW_fit/mrQ_T1M0_LWFit.m b/SPGR/SPGR_T1/LW_fit/mrQ_T1M0_LWFit.m index bae055f..f1adc7f 100755 --- a/SPGR/SPGR_T1/LW_fit/mrQ_T1M0_LWFit.m +++ b/SPGR/SPGR_T1/LW_fit/mrQ_T1M0_LWFit.m @@ -295,8 +295,9 @@ % Parallel Processing % Using parallel processing can reduce the runtime of the LW fit, % from ~60 minutes to ~20 minutes - - if has_PCTbox == 0 %no PCTbox, and thus no parfor + doParal = usejava('jvm'); + + if has_PCTbox == 0 || doParal==0 %no PCTbox, and thus no parfor if ~isempty(MissingFileNumber) for kk=1:length(MissingFileNumber) %regular for-loop jobindex=MissingFileNumber(kk); diff --git a/SPGR/SPGR_T1/lsq_NL/mrQ_fitT1PD_LSQ.m b/SPGR/SPGR_T1/lsq_NL/mrQ_fitT1PD_LSQ.m index 10b3e58..d5c99d3 100755 --- a/SPGR/SPGR_T1/lsq_NL/mrQ_fitT1PD_LSQ.m +++ b/SPGR/SPGR_T1/lsq_NL/mrQ_fitT1PD_LSQ.m @@ -290,9 +290,11 @@ % end % end end - + + doParal = usejava('jvm'); + % Parallel Processing - if has_PCTbox == 0 %no PCTbox, and thus no parfor + if has_PCTbox == 0 || doParal==0 %no PCTbox, and thus no parfor if ~isempty(MissingFileNumber) for kk=1:length(MissingFileNumber) jobindex=MissingFileNumber(kk); diff --git a/SPGR/SPGR_WF/CoilforPD_v2/FitPD/mrQ_fitM0boxesCall.m b/SPGR/SPGR_WF/CoilforPD_v2/FitPD/mrQ_fitM0boxesCall.m index 5f5fa9e..b420c3c 100755 --- a/SPGR/SPGR_WF/CoilforPD_v2/FitPD/mrQ_fitM0boxesCall.m +++ b/SPGR/SPGR_WF/CoilforPD_v2/FitPD/mrQ_fitM0boxesCall.m @@ -187,9 +187,10 @@ function mrQ_fitM0boxesCall(opt_logname,SunGrid,RunSelectedJob,GridOutputDir) MyVer_year= sscanf(MyVer_ed,'%*[^0123456789]%d'); % identify release year MyVer_AorB= sscanf(MyVer_ed,'%*[^ab]%c'); % identify version a or b - + doParal = usejava('jvm'); + % Parallel Processing - if has_PCTbox == 0 %no PCTbox, and thus no parfor + if has_PCTbox == 0 || doParal==0 %no PCTbox, and thus no parfor jumpindex= length(opt.wh); opt.jumpindex=jumpindex; diff --git a/SPGR/SPGR_pre/mrQ_initSPGR.m b/SPGR/SPGR_pre/mrQ_initSPGR.m index 26631db..49faf03 100755 --- a/SPGR/SPGR_pre/mrQ_initSPGR.m +++ b/SPGR/SPGR_pre/mrQ_initSPGR.m @@ -327,10 +327,13 @@ % % if ~isfield(mrQ,'SPGR_raw_strac') +if isnan(mrQ.refIm) % if we are not using a refence file we don't need to send it into SPM +[s,xform] = relaxAlignAll(s(find(t1Inds)),[],mmPerVox,true,interp); %#ok +else -%spm ref = readFileNifti(refImg); [s,xform] = relaxAlignAll(s(find(t1Inds)),ref,mmPerVox,true,interp); %#ok +end %else % Dpath=fullfile(mrQ.SPGR,'data'); diff --git a/mrQ_arrangeOutPutDir.m b/mrQ_arrangeOutPutDir.m index ba067bf..eedd02b 100755 --- a/mrQ_arrangeOutPutDir.m +++ b/mrQ_arrangeOutPutDir.m @@ -195,13 +195,46 @@ cmd =(['! mv ' mrQ.T1w_file ' ' T1wDir '/.']) ; eval(cmd); + + cmd =(['! ln -s ' T1wDir '/T1w.nii.gz ' mrQ.spgr_initDir '/.']) ; eval(cmd); -cmd =(['! mv ' mrQ.T1w_file1 ' ' T1wDir '/.']) ; +T1SynDir=fullfile(mrQ.OutPutNiiDir,'SyntheticT1w'); + +% If we redo it and maps directory already exists, +% we will save the old one before we make a new one. +if (exist(T1SynDir,'dir')) + ex=0; num=0; + while ex==0 + num=num+1; + T1wDirOld=fullfile(mrQ.OutPutNiiDir,['SyntheticT1wDirOld_' num2str(num)] ); + if (~exist(T1wDirOld,'dir')) + eval(['! mv ' T1SynDir ' ' BiasDirOld]); + ex=1; + end + end +end + +mkdir(T1SynDir); + +cmd =(['! mv ' mrQ.T1w_file1 ' ' T1SynDir '/.']) ; +eval(cmd); + +cmd =(['! ln -s ' T1SynDir '/T1w1.nii.gz ' mrQ.spgr_initDir '/.']) ; +eval(cmd); + + +cmd =(['! mv ' mrQ.T1w_file2 ' ' T1SynDir '/.']) ; +eval(cmd); + +cmd =(['! ln -s ' T1SynDir '/T1w2.nii.gz ' mrQ.spgr_initDir '/.']) ; +eval(cmd); + +cmd =(['! mv ' mrQ.T1w_file3 ' ' T1SynDir '/.']) ; eval(cmd); -cmd =(['! ln -s ' T1wDir '/T1w1.nii.gz ' mrQ.spgr_initDir '/.']) ; +cmd =(['! ln -s ' T1SynDir '/T1w3.nii.gz ' mrQ.spgr_initDir '/.']) ; eval(cmd); mrQ.T1w_files=T1wDir; diff --git a/mricron/dcm2nii b/mricron/dcm2nii new file mode 100755 index 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