-
Notifications
You must be signed in to change notification settings - Fork 2
/
poll_for_data_preproc.m
392 lines (318 loc) · 13.1 KB
/
poll_for_data_preproc.m
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
function poll_for_data_preproc(SubjectID, sessionN, cfg)
% every 2 sec look for a file with a name template in a directory
% send New Data even to the listener
%listener will print got it and the volume number
% SubjectID='Phantom';
% sessionN=3;
ft_defaults
%ft_hastoolbox('spm8', 1);
if nargin <= 2
cfg = [];
end
% cfg.inputDir='C:\Users\eust_abbondanza\Documents\realtime\20130429_19720216VLRZ\Ser0003\';
% cfg.NrOfVols=50;
% cfg.TimeOut=6.0;
% cfg.output='C:\Documents\realtime\TEST\';
% % % cfg.maskpath='C:\Users\eust_abbondanza\Documents\MATLAB\attend'
% % % cfg.datapath='C:\Documents\realtime\';
% % % cfg.protocolpath='C:\Users\eust_abbondanza\Documents\MATLAB\';
%cfg.Classifier=2; %1 for SVM from PR tollbox, 2 for EN classifier
%cfg.blockDurVol=8;
%Cfg.name_templates='prepScan_*.nii';
%files = dir(fullfile(Cfg.inputDir,Cfg.name_templates));
%first non-dummy volume
%param = spm_normalise(cfg.mytemplate, cfg.ref_image, cfg.matname, defaults.normalise.estimate.weight,'',defaults.normalise.estimate);
if ~isfield(cfg, 'numDummy')
cfg.numDummy = 5; % number of dummy scans to drop
end
if ~isfield(cfg, 'NrOfVols')
cfg.NrOfVols=170;
end
if ~isfield(cfg, 'smoothFWHM')
cfg.smoothFWHM = 0; %8;
end
if ~isfield(cfg, 'correctMotion')
cfg.correctMotion = 1; %1;
end
if ~isfield(cfg, 'normalize2EPI')
cfg.normalize2EPI = 0; %1;
end
if ~isfield(cfg, 'correctSliceTime')
cfg.correctSliceTime = 1; %1;
end
if ~isfield(cfg, 'maskpath')
cfg.maskpath='C:\Users\eust_abbondanza\Documents\MATLAB\attend';
end
if ~isfield(cfg, 'Classifier')
cfg.Classifier=2; %1 for SVM from PR tollbox, 2 for EN classifier
end
if ~isfield(cfg, 'whichEcho')
cfg.whichEcho = 1;
else
if cfg.whichEcho < 1
error '"whichEcho" configuration field must be >= 1';
end
end
hist_file=sprintf('history_%s.mat', SubjectID);
if ~exist(hist_file, 'file')
history = struct('S',[], 'RRM', [], 'motion', []);
else
load(hist_file);
end
numTotal=cfg.numDummy+1;
numTrial = cfg.NrOfVols*(sessionN-1);
numProper = 0;
motEst = [];
waiting_time=0;
while 1 %length(files)
GrabVol=tic;
pause(0.2);
name_template=sprintf('Analyze%05d.hdr', numTotal);
%%%for distortion corrected
%%%%%%%%%name_template=sprintf('f19881016MCBL-0005-%05d*.hdr', numTotal);
%start timer
%after 1.5 sec check if there is a volume with a number
%close timer
target=dir(fullfile(cfg.inputDir,name_template));
if isempty(target)
fprintf('\nNo new data\n');
time=toc(GrabVol);
waiting_time=waiting_time +time
if waiting_time>cfg.TimeOut
break
end
else
% notify(H, 'NewData');
fprintf('\nAvailable volume %i\n', numTotal)
%%% fname=fullfile(cfg.inputDir,name_template);
fname=fullfile(cfg.inputDir,target.name);
vol_hdr=spm_vol(fname);
% vol_vol=spm_read_vols(vol_hdr);
% dat=vol_vol(maskvol_vol>0);
dat=spm_read_vols(vol_hdr);
S=[];
S.TR=cfg.TR;
S.voxels=vol_hdr.dim;
S.voxdim=[3.0000 3.0000 3.600]; %vol_hdr.pixdim(1:3)
S.mat0=vol_hdr.mat;
S.numEchos=1;
S.vx=vol_hdr.dim(1);
S.vy=vol_hdr.dim(2);
S.vz=vol_hdr.dim(3);
inds=[(1:2:S.vz) (2:2:S.vz)];
S.deltaT = (0:(S.vz-1))*S.TR/S.vz;
S.deltaT(inds) = S.deltaT;
if isempty(S)
warning('No protocol information found!')
% restart loop
pause(0.5);
continue;
end
if cfg.whichEcho > S.numEchos
warning('Selected echo number exceeds the number of echos in the protocol.');
grabEcho = S.numEchos;
fprintf(1,'Will grab echo #%i of %i\n', grabEcho, S.numEchos);
else
grabEcho = 1;
end
% Prepare smoothing kernels based on configuration and voxel size
if cfg.smoothFWHM > 0
[smKernX, smKernY, smKernZ, smOff] = ft_omri_smoothing_kernel(cfg.smoothFWHM, S.voxdim);%ft_omri_smoothing_kernel(cfg.smoothFWHM, S.voxdim);
smKern = convn(smKernX'*smKernY, reshape(smKernZ, 1, 1, length(smKernZ)));
else
smKernX = [];
smKernY = [];
smKernZ = [];
smKern = [];
smOff = [0 0 0];
end
% store current info structure in history
numTrial = numTrial + 1;
history(numTrial).S = S;
disp(S)
fprintf(1,'Starting to process\n');
% numTotal = cfg.numDummy * S.numEchos;
% Loop this as long as the experiment runs with the same protocol (= data keeps coming in)
% determine number of samples available in buffer / wait for more than numTotal
% threshold.nsamples = numTotal + S.numEchos - 1;
%CHECK FUNCTION !!!!!!!!!!!!!!!
% % % newNum = ft_poll_buffer(cfg.input, threshold, 500);
% % %
% % % if newNum.nsamples < numTotal
% % % % scanning seems to have stopped - re-read header to continue with next trial
% % % break;
% % % end
% % % if newNum.nsamples < numTotal + S.numEchos
% % % % timeout -- go back to start of (inner) loop
% % % continue;
% % % end
% % %
% % % % this is necessary for ft_read_data
% % % hdr.nSamples = newNum.nsamples;
% % %
index = (cfg.numDummy + numProper) * S.numEchos + grabEcho;
fprintf('\nTrying to read %i. proper scan at sample index %d\n', numProper+1, index);
GrabSampleT = tic;
% % % try
% % % % read data from buffer (only the last scan)
% % % dat = ft_read_data(cfg.input, 'header', hdr, 'begsample', index, 'endsample', index);
% % % catch
% % % warning('Problems reading data - going back to poll operation...');
% % % continue;
% % % end
numProper = numProper + 1;
rawScan = single(reshape(dat, S.voxels));
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% slice timing correction
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if cfg.correctSliceTime
if numProper == 1
fprintf(1,'Initialising slice-time correction model...\n');
STM = ft_omri_slice_time_init(rawScan, S.TR, S.deltaT);
else
fprintf('%-30s','Slice time correction...');
tic;
[STM, procScan] = ft_omri_slice_time_apply(STM, rawScan);
toc
end
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% motion correction
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if cfg.correctMotion
doneHere = 0;
if numProper == 1
RRM=[];
for i=1:length(history)
if isequal(history(i).S, S)
fprintf(1,'Will realign scans to reference model from trial %i session ...\n', i);
% protocol the same => re-use realignment reference
RRM = history(i).RRM;
break;
end
end
% none found - setup new one
if isempty(RRM)
flags = struct('mat', S.mat0);
fprintf(1,'Setting up first num-dummy scan as reference volume...\n');
RRM = ft_omri_align_init(rawScan, flags); %RRM = ft_omri_align_init(rawScan, flags);
motEst = zeros(1,6);
curSixDof = zeros(1,6);
history(numTrial).RRM = RRM;
procScan = single(rawScan); % procScan = single(rawScan);
doneHere = 1;
end
end
if ~doneHere
fprintf('%-30s','Registration...');
tic;
[RRM, M, Mabs, procScan] = ft_omri_align_scan(RRM, procScan); % [RRM, M, Mabs, procScan] = ft_omri_align_scan(RRM, rawScan);
toc
curSixDof = hom2six(M);
motEst = [motEst; curSixDof.*[1 1 1 180/pi 180/pi 180/pi]];
end
else
procScan = single(procScan); % procScan = single(rawScan);
motEst = [motEst; zeros(1,6)];
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% slice timing correction
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% if cfg.correctSliceTime
% if numProper == 1
% fprintf(1,'Initialising slice-time correction model...\n');
% STM = ft_omri_slice_time_init(procScan, S.TR, S.deltaT);
% else
% fprintf('%-30s','Slice time correction...');
% tic;
% [STM, procScan] = ft_omri_slice_time_apply(STM, procScan);
% toc
% end
% end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% smoothing
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if cfg.smoothFWHM > 0
fprintf('%-30s','Smoothing...');
tic;
% MATLAB convolution
%Vsm = convn(procScan,smKern);
%procScan = Vsm((1+smOff(1)):(end-smOff(1)), (1+smOff(2)):(end-smOff(2)), (1+smOff(3)):(end-smOff(3)));
% specialised MEX file
procScan = ft_omri_smooth_volume(single(procScan), smKernX, smKernY, smKernZ);
toc
end
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% done with pre-processing, write output
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
if cfg.correctMotion
procSample = [single(procScan(:)) ; single(curSixDof')];
else
procSample = single(procScan(:));
% procSample = procScan(:);
end
%%%%%%%for dicom no flipping !!!!!!!!!
procScan=flip(procScan, 2);
% procScan=spm_write_sn(procScan,param,defaults.normalise.write);
filename=sprintf('prepScan_%i.nii', numProper);
V=[];
run_path=sprintf('%s\\Ser%04d', cfg.dataPath, sessionN);
if ~exist(run_path, 'dir')
mkdir(run_path)
end
% if cfg.normalize2MNI==0
% procScan=flip(procScan, 2);
% end
V.fname=fullfile(run_path, filename);
V.pixdim=S.voxdim;
V.dt=[4 0];
V.x=S.vx;
V.y=S.vy;
V.z=S.vz;
V.mat=S.mat0;
V.dim=S.voxels;
% V.size=S.size;
% V.numEchos=S.numEchos;
V.TR=S.TR;
% V.deltaT=S.deltaT;
V.n=[1 1];
V.pinfo=[1 0 352]';
V=spm_create_vol(V);
spm_write_vol(V, procScan); %spm_create_vol
% V=spm_vol(Analyze_file)
% V=spm_write_vol(V, procScan)
% ft_write_data(cfg.output1, procSample, 'header', hdrOut, 'append', true);
%evr.sample = numProper;
%ft_write_event(cfg.output, evr);
fprintf('Done -- total time = %f\n', toc(GrabSampleT));
fprintf('Volume processed in %f\n', toc(GrabVol));
subplot(4,1,1);
plot(motEst(:,1:3));
subplot(4,1,2);
plot(motEst(:,4:6));
subplot(4,1,3);
slcImg = reshape(dat, [S.vx S.vy*S.vz]);
imagesc(slcImg);
colormap(gray);
subplot(4,1,4);
slcImg = reshape(procScan, [S.vx S.vy*S.vz]);
imagesc(slcImg);
colormap(gray);
% force Matlab to update the figure
drawnow
if numTotal==cfg.NrOfVols
% save('mot_corr_params.mat', 'RRM');
% save('motEstim.mat', 'motEst');
% save('SixDof.mat', 'curSixDof');
fname_hist=fullfile(cfg.output, sprintf('history_%s.mat', SubjectID));
save(fname_hist, 'history');
break;
else
numTotal = numTotal + S.numEchos;
end
% time=toc;
%write event
%addlistener(input_dir_search,'NewVol',my_omri_pipeline) %the listener gets the signal and starts the preprocessing, event.listener
%read event and print data received
end
end