forked from mcnablab/NIFTI_toolbox
-
Notifications
You must be signed in to change notification settings - Fork 0
/
view_nii.m
executable file
·4901 lines (3819 loc) · 143 KB
/
view_nii.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
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
698
699
700
701
702
703
704
705
706
707
708
709
710
711
712
713
714
715
716
717
718
719
720
721
722
723
724
725
726
727
728
729
730
731
732
733
734
735
736
737
738
739
740
741
742
743
744
745
746
747
748
749
750
751
752
753
754
755
756
757
758
759
760
761
762
763
764
765
766
767
768
769
770
771
772
773
774
775
776
777
778
779
780
781
782
783
784
785
786
787
788
789
790
791
792
793
794
795
796
797
798
799
800
801
802
803
804
805
806
807
808
809
810
811
812
813
814
815
816
817
818
819
820
821
822
823
824
825
826
827
828
829
830
831
832
833
834
835
836
837
838
839
840
841
842
843
844
845
846
847
848
849
850
851
852
853
854
855
856
857
858
859
860
861
862
863
864
865
866
867
868
869
870
871
872
873
874
875
876
877
878
879
880
881
882
883
884
885
886
887
888
889
890
891
892
893
894
895
896
897
898
899
900
901
902
903
904
905
906
907
908
909
910
911
912
913
914
915
916
917
918
919
920
921
922
923
924
925
926
927
928
929
930
931
932
933
934
935
936
937
938
939
940
941
942
943
944
945
946
947
948
949
950
951
952
953
954
955
956
957
958
959
960
961
962
963
964
965
966
967
968
969
970
971
972
973
974
975
976
977
978
979
980
981
982
983
984
985
986
987
988
989
990
991
992
993
994
995
996
997
998
999
1000
% VIEW_NII: Create or update a 3-View (Front, Top, Side) of the
% brain data that is specified by nii structure
%
% Usage: status = view_nii([h], nii, [option]) or
% status = view_nii(h, [option])
%
% Where, h is the figure on which the 3-View will be plotted;
% nii is the brain data in NIFTI format;
% option is a struct that configures the view plotted, can be:
%
% option.command = 'init'
% option.command = 'update'
% option.command = 'clearnii'
% option.command = 'updatenii'
% option.command = 'updateimg' (nii is nii.img here)
%
% option.usecolorbar = 0 | [1]
% option.usepanel = 0 | [1]
% option.usecrosshair = 0 | [1]
% option.usestretch = 0 | [1]
% option.useimagesc = 0 | [1]
% option.useinterp = [0] | 1
%
% option.setarea = [x y w h] | [0.05 0.05 0.9 0.9]
% option.setunit = ['vox'] | 'mm'
% option.setviewpoint = [x y z] | [origin]
% option.setscanid = [t] | [1]
% option.setcrosshaircolor = [r g b] | [1 0 0]
% option.setcolorindex = From 1 to 9 (default is 2 or 3)
% option.setcolormap = (Mx3 matrix, 0 <= val <= 1)
% option.setcolorlevel = No more than 256 (default 256)
% option.sethighcolor = []
% option.setcbarminmax = []
% option.setvalue = []
% option.glblocminmax = []
% option.setbuttondown = ''
% option.setcomplex = [0] | 1 | 2
%
% Options description in detail:
% ==============================
%
% 1. command: A char string that can control program.
%
% init: If option.command='init', the program will display
% a 3-View plot on the figure specified by figure h
% or on a new figure. If there is already a 3-View
% plot on the figure, please use option.command =
% 'updatenii' (see detail below); otherwise, the
% new 3-View plot will superimpose on the old one.
% If there is no option provided, the program will
% assume that this is an initial plot. If the figure
% handle is omitted, the program knows that it is
% an initial plot.
%
% update: If there is no command specified, and a figure
% handle of the existing 3-View plot is provided,
% the program will choose option.command='update'
% to update the 3-View plot with some new option
% items.
%
% clearnii: Clear 3-View plot on specific figure
%
% updatenii: If a new nii is going to be loaded on a fig
% that has already 3-View plot on it, use this
% command to clear existing 3-View plot, and then
% display with new nii. So, the new nii will not
% superimpose on the existing one. All options
% for 'init' can be used for 'updatenii'.
%
% updateimg: If a new 3D matrix with the same dimension
% is going to be loaded, option.command='updateimg'
% can be used as a light-weighted 'updatenii, since
% it only updates the 3 slices with new values.
% inputing argument nii should be a 3D matrix
% (nii.img) instead of nii struct. No other option
% should be used together with 'updateimg' to keep
% this command as simple as possible.
%
%
% 2. usecolorbar: If specified and usecolorbar=0, the program
% will not include the colorbar in plot area; otherwise,
% a colorbar will be included in plot area.
%
% 3. usepanel: If specified and usepanel=0, the control panel
% at lower right cornor will be invisible; otherwise,
% it will be visible.
%
% 4. usecrosshair: If specified and usecrosshair=0, the crosshair
% will be invisible; otherwise, it will be visible.
%
% 5. usestretch: If specified and usestretch=0, the 3 slices will
% not be stretched, and will be displayed according to
% the actual voxel size; otherwise, the 3 slices will be
% stretched to the edge.
%
% 6. useimagesc: If specified and useimagesc=0, images data will
% be used directly to match the colormap (like 'image'
% command); otherwise, image data will be scaled to full
% colormap with 'imagesc' command in Matlab.
%
% 7. useinterp: If specified and useinterp=1, the image will be
% displayed using interpolation. Otherwise, it will be
% displayed like mosaic, and each tile stands for a
% pixel. This option does not apply to 'setvalue' option
% is set.
%
%
% 8. setarea: 3-View plot will be displayed on this specific
% region. If it is not specified, program will set the
% plot area to [0.05 0.05 0.9 0.9].
%
% 9. setunit: It can be specified to setunit='voxel' or 'mm'
% and the view will change the axes unit of [X Y Z]
% accordingly.
%
% 10. setviewpoint: If specified, [X Y Z] values will be used
% to set the viewpoint of 3-View plot.
%
% 11. setscanid: If specified, [t] value will be used to display
% the specified image scan in NIFTI data.
%
% 12. setcrosshaircolor: If specified, [r g b] value will be used
% for Crosshair Color. Otherwise, red will be the default.
%
% 13. setcolorindex: If specified, the 3-View will choose the
% following colormap: 2 - Bipolar; 3 - Gray; 4 - Jet;
% 5 - Cool; 6 - Bone; 7 - Hot; 8 - Copper; 9 - Pink;
% If not specified, it will choose 3 - Gray if all data
% values are not less than 0; otherwise, it will choose
% 2 - Bipolar if there is value less than 0. (Contrast
% control can only apply to 3 - Gray colormap.
%
% 14. setcolormap: 3-View plot will use it as a customized colormap.
% It is a 3-column matrix with value between 0 and 1. If
% using MS-Windows version of Matlab, the number of rows
% can not be more than 256, because of Matlab limitation.
% When colormap is used, setcolorlevel option will be
% disabled automatically.
%
% 15. setcolorlevel: If specified (must be no more than 256, and
% cannot be used for customized colormap), row number of
% colormap will be squeezed down to this level; otherwise,
% it will assume that setcolorlevel=256.
%
% 16. sethighcolor: If specified, program will squeeze down the
% colormap, and allocate sethighcolor (an Mx3 matrix)
% to high-end portion of the colormap. The sum of M and
% setcolorlevel should be less than 256. If setcolormap
% option is used, sethighcolor will be inserted on top
% of the setcolormap, and the setcolorlevel option will
% be disabled automatically.
%
% 17. setcbarminmax: if specified, the [min max] will be used to
% set the min and max of the colorbar, which does not
% include any data for highcolor.
%
% 18. setvalue: If specified, setvalue.val (with the same size as
% the source data on solution points) in the source area
% setvalue.idx will be superimposed on the current nii
% image. So, the size of setvalue.val should be equal to
% the size of setvalue.idx. To use this feature, it needs
% single or double nii structure for background image.
%
% 19. glblocminmax: If specified, pgm will use glblocminmax to
% calculate the colormap, instead of minmax of image.
%
% 20. setbuttondown: If specified, pgm will evaluate the command
% after a click or slide action is invoked to the new
% view point.
%
% 21. setcomplex: This option will decide how complex data to be
% displayed: 0 - Real part of complex data; 1 - Imaginary
% part of complex data; 2 - Modulus (magnitude) of complex
% data; If not specified, it will be set to 0 (Real part
% of complex data as default option. This option only apply
% when option.command is set to 'init or 'updatenii'.
%
%
% Additional Options for 'update' command:
% =======================================
%
% option.enablecursormove = [1] | 0
% option.enableviewpoint = 0 | [1]
% option.enableorigin = 0 | [1]
% option.enableunit = 0 | [1]
% option.enablecrosshair = 0 | [1]
% option.enablehistogram = 0 | [1]
% option.enablecolormap = 0 | [1]
% option.enablecontrast = 0 | [1]
% option.enablebrightness = 0 | [1]
% option.enableslider = 0 | [1]
% option.enabledirlabel = 0 | [1]
%
%
% e.g.:
% nii = load_nii('T1'); % T1.img/hdr
% view_nii(nii);
%
% or
%
% h = figure('unit','normal','pos', [0.18 0.08 0.64 0.85]);
% opt.setarea = [0.05 0.05 0.9 0.9];
% view_nii(h, nii, opt);
%
%
% Part of this file is copied and modified from:
% http://www.mathworks.com/matlabcentral/fileexchange/1878-mri-analyze-tools
%
% NIFTI data format can be found on: http://nifti.nimh.nih.gov
%
% - Jimmy Shen (jimmy@rotman-baycrest.on.ca)
%
function status = view_nii(varargin)
if nargin < 1
error('Please check inputs using ''help view_nii''');
end;
nii = '';
opt = '';
command = '';
usecolorbar = [];
usepanel = [];
usecrosshair = '';
usestretch = [];
useimagesc = [];
useinterp = [];
setarea = [];
setunit = '';
setviewpoint = [];
setscanid = [];
setcrosshaircolor = [];
setcolorindex = '';
setcolormap = 'NA';
setcolorlevel = [];
sethighcolor = 'NA';
setcbarminmax = [];
setvalue = [];
glblocminmax = [];
setbuttondown = '';
setcomplex = 0;
status = [];
if ishandle(varargin{1}) % plot on top of this figure
fig = varargin{1};
if nargin < 2
command = 'update'; % just to get 3-View status
end
if nargin == 2
if ~isstruct(varargin{2})
error('2nd parameter should be either nii struct or option struct');
end
opt = varargin{2};
if isfield(opt,'hdr') & isfield(opt,'img')
nii = opt;
elseif isfield(opt, 'command') & (strcmpi(opt.command,'init') ...
| strcmpi(opt.command,'updatenii') ...
| strcmpi(opt.command,'updateimg') )
error('Option here cannot contain "init", "updatenii", or "updateimg" comand');
end
end
if nargin == 3
nii = varargin{2};
opt = varargin{3};
if ~isstruct(opt)
error('3rd parameter should be option struct');
end
if ~isfield(opt,'command') | ~strcmpi(opt.command,'updateimg')
if ~isstruct(nii) | ~isfield(nii,'hdr') | ~isfield(nii,'img')
error('2nd parameter should be nii struct');
end
if isfield(nii,'untouch') & nii.untouch == 1
error('Usage: please use ''load_nii.m'' to load the structure.');
end
end
end
set(fig, 'menubar', 'none');
elseif ischar(varargin{1}) % call back by event
command = lower(varargin{1});
fig = gcbf;
else % start nii with a new figure
nii = varargin{1};
if ~isstruct(nii) | ~isfield(nii,'hdr') | ~isfield(nii,'img')
error('1st parameter should be either a figure handle or nii struct');
end
if isfield(nii,'untouch') & nii.untouch == 1
error('Usage: please use ''load_nii.m'' to load the structure.');
end
if nargin > 1
opt = varargin{2};
if isfield(opt, 'command') & ~strcmpi(opt.command,'init')
error('Option here must use "init" comand');
end
end
command = 'init';
fig = figure('unit','normal','position',[0.15 0.08 0.70 0.85]);
view_nii_menu(fig);
rri_file_menu(fig);
end
if ~isempty(opt)
if isfield(opt,'command')
command = lower(opt.command);
end
if isempty(command)
command = 'update';
end
if isfield(opt,'usecolorbar')
usecolorbar = opt.usecolorbar;
end
if isfield(opt,'usepanel')
usepanel = opt.usepanel;
end
if isfield(opt,'usecrosshair')
usecrosshair = opt.usecrosshair;
end
if isfield(opt,'usestretch')
usestretch = opt.usestretch;
end
if isfield(opt,'useimagesc')
useimagesc = opt.useimagesc;
end
if isfield(opt,'useinterp')
useinterp = opt.useinterp;
end
if isfield(opt,'setarea')
setarea = opt.setarea;
end
if isfield(opt,'setunit')
setunit = opt.setunit;
end
if isfield(opt,'setviewpoint')
setviewpoint = opt.setviewpoint;
end
if isfield(opt,'setscanid')
setscanid = opt.setscanid;
end
if isfield(opt,'setcrosshaircolor')
setcrosshaircolor = opt.setcrosshaircolor;
if ~isempty(setcrosshaircolor) & (~isnumeric(setcrosshaircolor) | ~isequal(size(setcrosshaircolor),[1 3]) | min(setcrosshaircolor(:))<0 | max(setcrosshaircolor(:))>1)
error('Crosshair Color should be a 1x3 matrix with value between 0 and 1');
end
end
if isfield(opt,'setcolorindex')
setcolorindex = round(opt.setcolorindex);
if ~isnumeric(setcolorindex) | setcolorindex < 1 | setcolorindex > 9
error('Colorindex should be a number between 1 and 9');
end
end
if isfield(opt,'setcolormap')
setcolormap = opt.setcolormap;
if ~isempty(setcolormap) & (~isnumeric(setcolormap) | size(setcolormap,2) ~= 3 | min(setcolormap(:))<0 | max(setcolormap(:))>1)
error('Colormap should be a Mx3 matrix with value between 0 and 1');
end
end
if isfield(opt,'setcolorlevel')
setcolorlevel = round(opt.setcolorlevel);
if ~isnumeric(setcolorlevel) | setcolorlevel > 256 | setcolorlevel < 1
error('Colorlevel should be a number between 1 and 256');
end
end
if isfield(opt,'sethighcolor')
sethighcolor = opt.sethighcolor;
if ~isempty(sethighcolor) & (~isnumeric(sethighcolor) | size(sethighcolor,2) ~= 3 | min(sethighcolor(:))<0 | max(sethighcolor(:))>1)
error('Highcolor should be a Mx3 matrix with value between 0 and 1');
end
end
if isfield(opt,'setcbarminmax')
setcbarminmax = opt.setcbarminmax;
if isempty(setcbarminmax) | ~isnumeric(setcbarminmax) | length(setcbarminmax) ~= 2
error('Colorbar MinMax should contain 2 values: [min max]');
end
end
if isfield(opt,'setvalue')
setvalue = opt.setvalue;
if isempty(setvalue) | ~isstruct(setvalue) | ...
~isfield(opt.setvalue,'idx') | ~isfield(opt.setvalue,'val')
error('setvalue should be a struct contains idx and val');
end
if length(opt.setvalue.idx(:)) ~= length(opt.setvalue.val(:))
error('length of idx and val fields should be the same');
end
if ~strcmpi(class(opt.setvalue.idx),'single')
opt.setvalue.idx = single(opt.setvalue.idx);
end
if ~strcmpi(class(opt.setvalue.val),'single')
opt.setvalue.val = single(opt.setvalue.val);
end
end
if isfield(opt,'glblocminmax')
glblocminmax = opt.glblocminmax;
end
if isfield(opt,'setbuttondown')
setbuttondown = opt.setbuttondown;
end
if isfield(opt,'setcomplex')
setcomplex = opt.setcomplex;
end
end
switch command
case {'init'}
set(fig, 'InvertHardcopy','off');
set(fig, 'PaperPositionMode','auto');
fig = init(nii, fig, setarea, setunit, setviewpoint, setscanid, setbuttondown, ...
setcolorindex, setcolormap, setcolorlevel, sethighcolor, setcbarminmax, ...
usecolorbar, usepanel, usecrosshair, usestretch, useimagesc, useinterp, ...
setvalue, glblocminmax, setcrosshaircolor, setcomplex);
% get status
%
status = get_status(fig);
case {'update'}
nii_view = getappdata(fig,'nii_view');
h = fig;
if isempty(nii_view)
error('The figure should already contain a 3-View plot.');
end
if ~isempty(opt)
% Order of the following update matters.
%
update_shape(h, setarea, usecolorbar, usestretch, useimagesc);
update_useinterp(h, useinterp);
update_useimagesc(h, useimagesc);
update_usepanel(h, usepanel);
update_colorindex(h, setcolorindex);
update_colormap(h, setcolormap);
update_highcolor(h, sethighcolor, setcolorlevel);
update_cbarminmax(h, setcbarminmax);
update_unit(h, setunit);
update_viewpoint(h, setviewpoint);
update_scanid(h, setscanid);
update_buttondown(h, setbuttondown);
update_crosshaircolor(h, setcrosshaircolor);
update_usecrosshair(h, usecrosshair);
% Enable/Disable object
%
update_enable(h, opt);
end
% get status
%
status = get_status(h);
case {'updateimg'}
if ~exist('nii','var')
msg = sprintf('Please input a 3D matrix brain data');
error(msg);
end
% Note: nii is not nii, nii should be a 3D matrix here
%
if ~isnumeric(nii)
msg = sprintf('2nd parameter should be a 3D matrix, not nii struct');
error(msg);
end
nii_view = getappdata(fig,'nii_view');
if isempty(nii_view)
error('The figure should already contain a 3-View plot.');
end
img = nii;
update_img(img, fig, opt);
% get status
%
status = get_status(fig);
case {'updatenii'}
nii_view = getappdata(fig,'nii_view');
if isempty(nii_view)
error('The figure should already contain a 3-View plot.');
end
if ~isstruct(nii) | ~isfield(nii,'hdr') | ~isfield(nii,'img')
error('2nd parameter should be nii struct');
end
if isfield(nii,'untouch') & nii.untouch == 1
error('Usage: please use ''load_nii.m'' to load the structure.');
end
opt.command = 'clearnii';
view_nii(fig, opt);
opt.command = 'init';
view_nii(fig, nii, opt);
% get status
%
status = get_status(fig);
case {'clearnii'}
nii_view = getappdata(fig,'nii_view');
handles = struct2cell(nii_view.handles);
for i=1:length(handles)
if ishandle(handles{i}) % in case already del by parent
delete(handles{i});
end
end
rmappdata(fig,'nii_view');
buttonmotion = get(fig,'windowbuttonmotion');
mymotion = '; view_nii(''move_cursor'');';
buttonmotion = strrep(buttonmotion, mymotion, '');
set(fig, 'windowbuttonmotion', buttonmotion);
case {'axial_image','coronal_image','sagittal_image'}
switch command
case 'axial_image', view = 'axi'; axi = 0; cor = 1; sag = 1;
case 'coronal_image', view = 'cor'; axi = 1; cor = 0; sag = 1;
case 'sagittal_image', view = 'sag'; axi = 1; cor = 1; sag = 0;
end
nii_view = getappdata(fig,'nii_view');
nii_view = get_slice_position(nii_view,view);
if isfield(nii_view, 'disp')
img = nii_view.disp;
else
img = nii_view.nii.img;
end
% CData must be double() for Matlab 6.5 for Windows
%
if axi,
if isfield(nii_view.handles,'axial_bg') & ~isempty(nii_view.handles.axial_bg) & nii_view.useinterp
Saxi = squeeze(nii_view.bgimg(:,:,nii_view.slices.axi));
if ~strcmp(class(Saxi),'uint8'), Saxi = double(Saxi); end;
set(nii_view.handles.axial_bg,'CData',Saxi');
end
if isfield(nii_view.handles,'axial_image'),
if nii_view.nii.hdr.dime.datatype == 128 | nii_view.nii.hdr.dime.datatype == 511
Saxi = squeeze(img(:,:,nii_view.slices.axi,:,nii_view.scanid));
Saxi = permute(Saxi, [2 1 3]);
else
Saxi = squeeze(img(:,:,nii_view.slices.axi,nii_view.scanid));
Saxi = Saxi';
end
if ~strcmp(class(Saxi),'uint8'), Saxi = double(Saxi); end;
set(nii_view.handles.axial_image,'CData',Saxi);
end
if isfield(nii_view.handles,'axial_slider'),
set(nii_view.handles.axial_slider,'Value',nii_view.slices.axi);
end;
end
if cor,
if isfield(nii_view.handles,'coronal_bg') & ~isempty(nii_view.handles.coronal_bg) & nii_view.useinterp
Scor = squeeze(nii_view.bgimg(:,nii_view.slices.cor,:));
if ~strcmp(class(Scor),'uint8'), Scor = double(Scor); end;
set(nii_view.handles.coronal_bg,'CData',Scor');
end
if isfield(nii_view.handles,'coronal_image'),
if nii_view.nii.hdr.dime.datatype == 128 | nii_view.nii.hdr.dime.datatype == 511
Scor = squeeze(img(:,nii_view.slices.cor,:,:,nii_view.scanid));
Scor = permute(Scor, [2 1 3]);
else
Scor = squeeze(img(:,nii_view.slices.cor,:,nii_view.scanid));
Scor = Scor';
end
if ~strcmp(class(Scor),'uint8'), Scor = double(Scor); end;
set(nii_view.handles.coronal_image,'CData',Scor);
end
if isfield(nii_view.handles,'coronal_slider'),
slider_val = nii_view.dims(2) - nii_view.slices.cor + 1;
set(nii_view.handles.coronal_slider,'Value',slider_val);
end;
end;
if sag,
if isfield(nii_view.handles,'sagittal_bg') & ~isempty(nii_view.handles.sagittal_bg) & nii_view.useinterp
Ssag = squeeze(nii_view.bgimg(nii_view.slices.sag,:,:));
if ~strcmp(class(Ssag),'uint8'), Ssag = double(Ssag); end;
set(nii_view.handles.sagittal_bg,'CData',Ssag');
end
if isfield(nii_view.handles,'sagittal_image'),
if nii_view.nii.hdr.dime.datatype == 128 | nii_view.nii.hdr.dime.datatype == 511
Ssag = squeeze(img(nii_view.slices.sag,:,:,:,nii_view.scanid));
Ssag = permute(Ssag, [2 1 3]);
else
Ssag = squeeze(img(nii_view.slices.sag,:,:,nii_view.scanid));
Ssag = Ssag';
end
if ~strcmp(class(Ssag),'uint8'), Ssag = double(Ssag); end;
set(nii_view.handles.sagittal_image,'CData',Ssag);
end
if isfield(nii_view.handles,'sagittal_slider'),
set(nii_view.handles.sagittal_slider,'Value',nii_view.slices.sag);
end;
end;
update_nii_view(nii_view);
if ~isempty(nii_view.buttondown)
eval(nii_view.buttondown);
end
case {'axial_slider','coronal_slider','sagittal_slider'},
switch command
case 'axial_slider', view = 'axi'; axi = 1; cor = 0; sag = 0;
case 'coronal_slider', view = 'cor'; axi = 0; cor = 1; sag = 0;
case 'sagittal_slider', view = 'sag'; axi = 0; cor = 0; sag = 1;
end
nii_view = getappdata(fig,'nii_view');
nii_view = get_slider_position(nii_view);
if isfield(nii_view, 'disp')
img = nii_view.disp;
else
img = nii_view.nii.img;
end
if axi,
if isfield(nii_view.handles,'axial_bg') & ~isempty(nii_view.handles.axial_bg) & nii_view.useinterp
Saxi = squeeze(nii_view.bgimg(:,:,nii_view.slices.axi));
if ~strcmp(class(Saxi),'uint8'), Saxi = double(Saxi); end;
set(nii_view.handles.axial_bg,'CData',Saxi');
end
if isfield(nii_view.handles,'axial_image'),
if nii_view.nii.hdr.dime.datatype == 128 | nii_view.nii.hdr.dime.datatype == 511
Saxi = squeeze(img(:,:,nii_view.slices.axi,:,nii_view.scanid));
Saxi = permute(Saxi, [2 1 3]);
else
Saxi = squeeze(img(:,:,nii_view.slices.axi,nii_view.scanid));
Saxi = Saxi';
end
if ~strcmp(class(Saxi),'uint8'), Saxi = double(Saxi); end;
set(nii_view.handles.axial_image,'CData',Saxi);
end
if isfield(nii_view.handles,'axial_slider'),
set(nii_view.handles.axial_slider,'Value',nii_view.slices.axi);
end
end
if cor,
if isfield(nii_view.handles,'coronal_bg') & ~isempty(nii_view.handles.coronal_bg) & nii_view.useinterp
Scor = squeeze(nii_view.bgimg(:,nii_view.slices.cor,:));
if ~strcmp(class(Scor),'uint8'), Scor = double(Scor); end;
set(nii_view.handles.coronal_bg,'CData',Scor');
end
if isfield(nii_view.handles,'coronal_image'),
if nii_view.nii.hdr.dime.datatype == 128 | nii_view.nii.hdr.dime.datatype == 511
Scor = squeeze(img(:,nii_view.slices.cor,:,:,nii_view.scanid));
Scor = permute(Scor, [2 1 3]);
else
Scor = squeeze(img(:,nii_view.slices.cor,:,nii_view.scanid));
Scor = Scor';
end
if ~strcmp(class(Scor),'uint8'), Scor = double(Scor); end;
set(nii_view.handles.coronal_image,'CData',Scor);
end
if isfield(nii_view.handles,'coronal_slider'),
slider_val = nii_view.dims(2) - nii_view.slices.cor + 1;
set(nii_view.handles.coronal_slider,'Value',slider_val);
end
end
if sag,
if isfield(nii_view.handles,'sagittal_bg') & ~isempty(nii_view.handles.sagittal_bg) & nii_view.useinterp
Ssag = squeeze(nii_view.bgimg(nii_view.slices.sag,:,:));
if ~strcmp(class(Ssag),'uint8'), Ssag = double(Ssag); end;
set(nii_view.handles.sagittal_bg,'CData',Ssag');
end
if isfield(nii_view.handles,'sagittal_image'),
if nii_view.nii.hdr.dime.datatype == 128 | nii_view.nii.hdr.dime.datatype == 511
Ssag = squeeze(img(nii_view.slices.sag,:,:,:,nii_view.scanid));
Ssag = permute(Ssag, [2 1 3]);
else
Ssag = squeeze(img(nii_view.slices.sag,:,:,nii_view.scanid));
Ssag = Ssag';
end
if ~strcmp(class(Ssag),'uint8'), Ssag = double(Ssag); end;
set(nii_view.handles.sagittal_image,'CData',Ssag);
end
if isfield(nii_view.handles,'sagittal_slider'),
set(nii_view.handles.sagittal_slider,'Value',nii_view.slices.sag);
end
end
update_nii_view(nii_view);
if ~isempty(nii_view.buttondown)
eval(nii_view.buttondown);
end
case {'impos_edit'}
nii_view = getappdata(fig,'nii_view');
impos = str2num(get(nii_view.handles.impos,'string'));
if isfield(nii_view, 'disp')
img = nii_view.disp;
else
img = nii_view.nii.img;
end
if isempty(impos) | ~all(size(impos) == [1 3])
msg = 'Please use 3 numbers to represent X,Y and Z';
msgbox(msg,'Error');
return;
end
slices.sag = round(impos(1));
slices.cor = round(impos(2));
slices.axi = round(impos(3));
nii_view = convert2voxel(nii_view,slices);
nii_view = check_slices(nii_view);
impos(1) = nii_view.slices.sag;
impos(2) = nii_view.dims(2) - nii_view.slices.cor + 1;
impos(3) = nii_view.slices.axi;
if isfield(nii_view.handles,'sagittal_slider'),
set(nii_view.handles.sagittal_slider,'Value',impos(1));
end
if isfield(nii_view.handles,'coronal_slider'),
set(nii_view.handles.coronal_slider,'Value',impos(2));
end
if isfield(nii_view.handles,'axial_slider'),
set(nii_view.handles.axial_slider,'Value',impos(3));
end
nii_view = get_slider_position(nii_view);
update_nii_view(nii_view);
if isfield(nii_view.handles,'axial_bg') & ~isempty(nii_view.handles.axial_bg) & nii_view.useinterp
Saxi = squeeze(nii_view.bgimg(:,:,nii_view.slices.axi));
if ~strcmp(class(Saxi),'uint8'), Saxi = double(Saxi); end;
set(nii_view.handles.axial_bg,'CData',Saxi');
end
if isfield(nii_view.handles,'axial_image'),
if nii_view.nii.hdr.dime.datatype == 128 | nii_view.nii.hdr.dime.datatype == 511
Saxi = squeeze(img(:,:,nii_view.slices.axi,:,nii_view.scanid));
Saxi = permute(Saxi, [2 1 3]);
else
Saxi = squeeze(img(:,:,nii_view.slices.axi,nii_view.scanid));
Saxi = Saxi';
end
if ~strcmp(class(Saxi),'uint8'), Saxi = double(Saxi); end;
set(nii_view.handles.axial_image,'CData',Saxi);
end
if isfield(nii_view.handles,'axial_slider'),
set(nii_view.handles.axial_slider,'Value',nii_view.slices.axi);
end
if isfield(nii_view.handles,'coronal_bg') & ~isempty(nii_view.handles.coronal_bg) & nii_view.useinterp
Scor = squeeze(nii_view.bgimg(:,nii_view.slices.cor,:));
if ~strcmp(class(Scor),'uint8'), Scor = double(Scor); end;
set(nii_view.handles.coronal_bg,'CData',Scor');
end
if isfield(nii_view.handles,'coronal_image'),
if nii_view.nii.hdr.dime.datatype == 128 | nii_view.nii.hdr.dime.datatype == 511
Scor = squeeze(img(:,nii_view.slices.cor,:,:,nii_view.scanid));
Scor = permute(Scor, [2 1 3]);
else
Scor = squeeze(img(:,nii_view.slices.cor,:,nii_view.scanid));
Scor = Scor';
end
if ~strcmp(class(Scor),'uint8'), Scor = double(Scor); end;
set(nii_view.handles.coronal_image,'CData',Scor);
end
if isfield(nii_view.handles,'coronal_slider'),
slider_val = nii_view.dims(2) - nii_view.slices.cor + 1;
set(nii_view.handles.coronal_slider,'Value',slider_val);
end
if isfield(nii_view.handles,'sagittal_bg') & ~isempty(nii_view.handles.sagittal_bg) & nii_view.useinterp
Ssag = squeeze(nii_view.bgimg(nii_view.slices.sag,:,:));
if ~strcmp(class(Ssag),'uint8'), Ssag = double(Ssag); end;
set(nii_view.handles.sagittal_bg,'CData',Ssag');
end
if isfield(nii_view.handles,'sagittal_image'),
if nii_view.nii.hdr.dime.datatype == 128 | nii_view.nii.hdr.dime.datatype == 511
Ssag = squeeze(img(nii_view.slices.sag,:,:,:,nii_view.scanid));
Ssag = permute(Ssag, [2 1 3]);
else
Ssag = squeeze(img(nii_view.slices.sag,:,:,nii_view.scanid));
Ssag = Ssag';
end
if ~strcmp(class(Ssag),'uint8'), Ssag = double(Ssag); end;
set(nii_view.handles.sagittal_image,'CData',Ssag);
end
if isfield(nii_view.handles,'sagittal_slider'),
set(nii_view.handles.sagittal_slider,'Value',nii_view.slices.sag);
end
axes(nii_view.handles.axial_axes);
axes(nii_view.handles.coronal_axes);
axes(nii_view.handles.sagittal_axes);
if ~isempty(nii_view.buttondown)
eval(nii_view.buttondown);
end
case 'coordinates',
nii_view = getappdata(fig,'nii_view');
set_image_value(nii_view);
case 'crosshair',
nii_view = getappdata(fig,'nii_view');
if get(nii_view.handles.xhair,'value') == 2 % off
set(nii_view.axi_xhair.lx,'visible','off');
set(nii_view.axi_xhair.ly,'visible','off');
set(nii_view.cor_xhair.lx,'visible','off');
set(nii_view.cor_xhair.ly,'visible','off');
set(nii_view.sag_xhair.lx,'visible','off');
set(nii_view.sag_xhair.ly,'visible','off');
else
set(nii_view.axi_xhair.lx,'visible','on');
set(nii_view.axi_xhair.ly,'visible','on');
set(nii_view.cor_xhair.lx,'visible','on');
set(nii_view.cor_xhair.ly,'visible','on');
set(nii_view.sag_xhair.lx,'visible','on');
set(nii_view.sag_xhair.ly,'visible','on');
set(nii_view.handles.axial_axes,'selected','on');
set(nii_view.handles.axial_axes,'selected','off');
set(nii_view.handles.coronal_axes,'selected','on');
set(nii_view.handles.coronal_axes,'selected','off');
set(nii_view.handles.sagittal_axes,'selected','on');
set(nii_view.handles.sagittal_axes,'selected','off');
end
case 'xhair_color',
old_color = get(gcbo,'user');
new_color = uisetcolor(old_color);
update_crosshaircolor(fig, new_color);
case {'color','contrast_def'}
nii_view = getappdata(fig,'nii_view');
if nii_view.numscan == 1
if get(nii_view.handles.colorindex,'value') == 2
set(nii_view.handles.contrast,'value',128);
elseif get(nii_view.handles.colorindex,'value') == 3
set(nii_view.handles.contrast,'value',1);
end
end
[custom_color_map, custom_colorindex] = change_colormap(fig);
if strcmpi(command, 'color')
setcolorlevel = nii_view.colorlevel;
if ~isempty(custom_color_map) % isfield(nii_view, 'color_map')
setcolormap = custom_color_map; % nii_view.color_map;
else
setcolormap = [];
end
if isfield(nii_view, 'highcolor')
sethighcolor = nii_view.highcolor;
else
sethighcolor = [];
end
redraw_cbar(fig, setcolorlevel, setcolormap, sethighcolor);
if nii_view.numscan == 1 & ...
(custom_colorindex < 2 | custom_colorindex > 3)
contrastopt.enablecontrast = 0;
else
contrastopt.enablecontrast = 1;
end
update_enable(fig, contrastopt);
end
case {'neg_color','brightness','contrast'}
change_colormap(fig);
case {'brightness_def'}
nii_view = getappdata(fig,'nii_view');
set(nii_view.handles.brightness,'value',0);
change_colormap(fig);
case 'hist_plot'
hist_plot(fig);
case 'hist_eq'