├── LICENSE
├── README.md
└── preprocessing_BIDS_SPM12.m
/LICENSE:
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675 |
--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------
1 | # fMRI-preprocessing-SPM12
2 | This is a SPM12 batch script that runs a standard fMRI preprocessing pipeline on a BIDS formatted data-set.
3 |
4 | ## Included preprocessing steps
5 | - defacing
6 | - field map esimtation
7 | - realignment and unwarping
8 | - slice-time correction
9 | - normalization
10 | - smoothing
11 |
12 | ## Requirements
13 | - a BIDS formatted fMRI data-set See http://bids.neuroimaging.io/ for more information.
14 | - a T1 anatomical image
15 | - a field map
16 | - at least 1 functional run (saved as a 4D nifti file)
17 | The scripts are written with the imaging sequences used at the GIfMI (http://gifmi.ugent.be/) in mind.
18 |
19 | ## Bugs / Improvements
20 | If you find bugs in this script or have suggestions for improvement, please report both here https://github.com/CCN-github/fMRI-preprocessing-SPM12/issues
21 |
22 | ## Import raw data in the BIDS format
23 | If you are interested in importing your data according to BIDS standards, go check out the scripts here https://github.com/NeuroStat/CustomFormatBIDS
24 |
25 | ## Contact
26 | david.wisniewski@ugent.be
27 |
28 |
--------------------------------------------------------------------------------
/preprocessing_BIDS_SPM12.m:
--------------------------------------------------------------------------------
1 | function preprocessing_BIDS (sub)
2 |
3 | %{
4 | This functions runs a standard preprocessing pipeline in SPM12. Make sure SPM12 is in your matlab path.
5 |
6 | The scripts requires a BIDS formatted dataset. See http://bids.neuroimaging.io/
7 | It also assumes you acquired a T1 analtomical image, at least 1 functional run saved as a 4D nifti file, and a field map (which I highly recommend).
8 |
9 | In order to run this script, call the preprocessing_BIDS function, giving it one subject numer.
10 | The script will then run the preprocessing for that subejct.
11 |
12 | 23/01/2018 v.0.9.0: - stable version
13 | 01/07/2018 v.1.0.0: - adapted to multi-band sequence
14 | - added segmentation step (both by: Carlos Gonzalez-Garcia, carlos.gonzalezgarcia@ugent.be)
15 |
16 | David Wisniewski (david.wisniewski@ugent.be)
17 | %}
18 |
19 |
20 | %% FLAGS
21 | %{
22 | The script is partly modular. You can switch specific preprocessing step on (=1) or off (=0) here.
23 | The order of the steps is fixed at the moment though. It is assumed that you run your preprocessing
24 | in the order: deface -> fieldmap -> realign and unwarp -> slice time correction -> coregistration -> segmentation -> normalization -> smoothing
25 | %}
26 |
27 | do_deface = 1; % deface the anatomical image to anonymize the data
28 | do_fieldmap = 1; % calculate fieldmap (vdm file)
29 | do_realign_unwarp = 1; % realignment (get rid of movement artifacts) + unwarping (account for disortions in the magnetic field using the fieldmap)
30 | do_slice_time = 1; % slice time correction
31 | do_coregister = 1; % coregistration of T1 to EPI images
32 | do_segment = 1; % segment T1 and create inverse and forward models
33 | do_norm=1; % normalize images to MNI space
34 | do_smooth=1; % smooth images
35 |
36 | %% PARAMETERS
37 | %{
38 | specify the paramters of your dataset here
39 | %}
40 | % specify the number of functional runs acquired
41 | nruns=5;
42 | % slice time corrections
43 | param.st.nslices = 50; % number of slices per volume
44 | param.st.tr = 1.73; %TR in sec
45 | param.st.ta = 1.73-(1.73/50); %time of acquisition for one slice, i.e. TR - (TR./nslices)
46 | param.st.so = [0.82, 0, 0.8875, 0.0675, 0.9575, 0.1375, 1.025, 0.205, 1.0925, 0.2725, 1.1625, 0.3425, 1.23, 0.41, 1.3, 0.4775, 1.3675, 0.5475, 1.435, 0.615, 1.505, 0.6825, 1.5725, 0.7525, 1.64, 0.82, 0, 0.8875, 0.0675, 0.9575, 0.1375, 1.025, 0.205, 1.0925, 0.2725, 1.1625, 0.3425, 1.23, 0.41, 1.3, 0.4775, 1.3675, 0.5475, 1.435, 0.615, 1.505, 0.6825, 1.5725, 0.7525, 1.64]*1000; % slice acquisition order
47 | param.st.refslice = max(param.st.so)/2; % reference slice, for fMRI usually the middle slice
48 | % smoothing
49 | param.smooth.fwhm = [8 8 8]; % define the smoothing kernel in mm
50 |
51 | %% DIRECTORIES
52 | % convert subject number into a string for easier handling
53 | substr=num2str(sub,'%.2d');
54 | % specify the directory in which your BIDS compatible raw data are localized
55 | basedir = '\\folder\BIDS';
56 | % specify the directory to which all derivatives of the raw data are to be saved
57 | % side note: BIDS splits your data into the raw unprocessed images, and derivatives. The latter are all images derived from the raw data, e.g. preprocessed images.
58 | derivativesdir = '\\folder\derivatives';
59 | subdir=['\sub-' substr];
60 | % please also check below as well. The fieldmap and segmentation steps require you to change folders in the respective code segments as well.
61 |
62 | %% RUN THE ANALYSIS
63 |
64 | %% DEFACE T1
65 | % in order to guarantee anaonymity, we deface the anatomical images
66 | if do_deface
67 | % run the defacing step
68 | matlabbatch{1}.spm.util.deface.images = cellstr(spm_select('FPList',[basedir subdir '\anat\'],'^sub.*.nii$'));
69 | spm_jobman('run', matlabbatch);
70 | clear matlabbatch;
71 | % file management
72 | % delete original file with the face still intact
73 | delete (spm_select('FPList',[basedir subdir '\anat\'],'^sub.*.nii$'));
74 | % rename anonimized file
75 | fname=spm_select('FPList',[basedir subdir '\anat\'],'^anon.*.nii$');
76 | newname= regexprep(fname,'anon_','');
77 | movefile (fname,newname);
78 | % copy anonymized file to \derivates folder
79 | destination = regexprep(newname,'BIDS','derivatives');
80 | copyfile (newname,destination) ;
81 | end
82 |
83 |
84 | %% FIELDMAP
85 | % estimate a field map
86 | if do_fieldmap
87 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.data.presubphasemag.phase = cellstr(spm_select('FPList',[basedir subdir '\fmap\'],'^sub.*phase2.nii$'));
88 | % of the two magnitude images, use the one with the shorter TE,which will have greater signal
89 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.data.presubphasemag.magnitude = cellstr(spm_select('FPList',[basedir subdir '\fmap\'],'^sub.*magnitude2.nii$'));
90 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.et = [5.19 7.56];
91 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.maskbrain = 0;
92 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.blipdir = -1;
93 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.tert = 32.64;
94 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.epifm = 0;
95 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.ajm = 0;
96 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.uflags.method = 'Mark3D';
97 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.uflags.fwhm = 10;
98 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.uflags.pad = 0;
99 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.uflags.ws = 1;
100 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.mflags.template = {'F:\Data\Programs Scripts\spm12\toolbox\FieldMap\T1.nii'}; % change the folder here
101 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.mflags.fwhm = 5;
102 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.mflags.nerode = 2;
103 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.mflags.ndilate = 4;
104 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.mflags.thresh = 0.5;
105 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.defaults.defaultsval.mflags.reg = 0.02;
106 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.session.epi = cellstr(spm_select('FPList',[basedir subdir '\func'],'^sub.*run-1_bold.nii$'));
107 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.matchvdm = 1;
108 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.sessname = 'session';
109 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.writeunwarped = 0;
110 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.anat = '';
111 | matlabbatch{1}.spm.tools.fieldmap.calculatevdm.subj.matchanat = 0;
112 | spm_jobman('run', matlabbatch);
113 | clear matlabbatch;
114 |
115 | %file management: move newly generated files into derivatives
116 | %folder
117 | fname=spm_select('FPList',[basedir subdir '\fmap\'],'^fpm.*.nii$');
118 | destination = regexprep(fname,'BIDS','derivatives');
119 | movefile (fname,destination) ;
120 | fname=spm_select('FPList',[basedir subdir '\fmap\'],'^scsub.*.nii$');
121 | destination = regexprep(fname,'BIDS','derivatives');
122 | movefile (fname,destination) ;
123 | fname=spm_select('FPList',[basedir subdir '\fmap\'],'^vdm.*.nii$');
124 | destination = regexprep(fname,'BIDS','derivatives');
125 | movefile (fname,destination) ;
126 | fname=spm_select('FPList',[basedir subdir '\func\'],'^usub.*.nii$');
127 | destination = regexprep(fname,'BIDS','derivatives');
128 | movefile (fname,destination) ;
129 | fname=spm_select('FPList',[basedir subdir '\func\'],'^wfmag.*.nii$');
130 | destination = regexprep(fname,'BIDS','derivatives');
131 | movefile (fname,destination);
132 |
133 | end
134 |
135 | %% REALIGN & UNWARP
136 | % correct for movement artifacts and magnetic field inhomogeneities. The latter requires the estimated field map from the previous step.
137 | if do_realign_unwarp
138 | clear matlabbatch;
139 |
140 | vdmfile = cellstr(spm_select('FPList',[derivativesdir subdir '\fmap\'],'^vdm.*\phase2.nii$'));
141 | for run=1:nruns
142 | filter = ['^sub.*run-' num2str(run) '_bold.nii$'] ;
143 | matlabbatch{1}.spm.spatial.realignunwarp.data(run).scans = cellstr(spm_select('FPList',[basedir subdir '\func\'],filter));
144 | matlabbatch{1}.spm.spatial.realignunwarp.data(run).pmscan = vdmfile;
145 | end
146 |
147 | matlabbatch{1}.spm.spatial.realignunwarp.eoptions.quality = 0.9;
148 | matlabbatch{1}.spm.spatial.realignunwarp.eoptions.sep = 3;
149 | matlabbatch{1}.spm.spatial.realignunwarp.eoptions.fwhm = 5;
150 | matlabbatch{1}.spm.spatial.realignunwarp.eoptions.rtm = 0;
151 | matlabbatch{1}.spm.spatial.realignunwarp.eoptions.einterp = 4;
152 | matlabbatch{1}.spm.spatial.realignunwarp.eoptions.ewrap = [0 0 0];
153 | matlabbatch{1}.spm.spatial.realignunwarp.eoptions.weight = '';
154 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.basfcn = [12 12];
155 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.regorder = 1;
156 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.lambda = 100000;
157 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.jm = 0;
158 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.fot = [4 5];
159 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.sot = [];
160 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.uwfwhm = 4;
161 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.rem = 1;
162 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.noi = 5;
163 | matlabbatch{1}.spm.spatial.realignunwarp.uweoptions.expround = 'Average';
164 | matlabbatch{1}.spm.spatial.realignunwarp.uwroptions.uwwhich = [2 1];
165 | matlabbatch{1}.spm.spatial.realignunwarp.uwroptions.rinterp = 4;
166 | matlabbatch{1}.spm.spatial.realignunwarp.uwroptions.wrap = [0 0 0];
167 | matlabbatch{1}.spm.spatial.realignunwarp.uwroptions.mask = 1;
168 | matlabbatch{1}.spm.spatial.realignunwarp.uwroptions.prefix = 'u';
169 |
170 | spm_jobman('run', matlabbatch);
171 | clear matlabbatch;
172 |
173 | % file management
174 | % move files to /derivatives folder
175 | fname=cellstr(spm_select('FPList',[basedir subdir '\func\'],'^usub.*.nii$'));
176 | destination = regexprep(fname,'BIDS','derivatives');
177 | for i = 1:length(fname)
178 | movefile (fname{i},destination{i});
179 | end
180 | fname=spm_select('FPList',[basedir subdir '\func\'],'^mean.*.nii$');
181 | destination = regexprep(fname,'BIDS','derivatives');
182 | movefile (fname,destination);
183 | fname=cellstr(spm_select('FPList',[basedir subdir '\func\'],'^*.mat$'));
184 | destination = regexprep(fname,'BIDS','derivatives');
185 | for i = 1:length(fname)
186 | movefile (fname{i},destination{i});
187 | end
188 | fname=cellstr(spm_select('FPList',[basedir subdir '\func\'],'^*.txt$'));
189 | destination = regexprep(fname,'BIDS','derivatives');
190 | for i = 1:length(fname)
191 | movefile (fname{i},destination{i});
192 | end
193 | end
194 |
195 | %% SLICE TIME CORRECTION
196 | % corrects for slice acquisition order
197 | if do_slice_time
198 | clear matlabbatch img_files;
199 | img_files = [{cellstr(spm_select('FPList', [derivativesdir subdir '\func\'], '^usub.*.nii$'))}];
200 | matlabbatch{1}.spm.temporal.st.scans = img_files;
201 | matlabbatch{1}.spm.temporal.st.nslices = param.st.nslices; % check this again
202 | matlabbatch{1}.spm.temporal.st.tr = param.st.tr;
203 | matlabbatch{1}.spm.temporal.st.ta = param.st.ta;
204 | matlabbatch{1}.spm.temporal.st.so = param.st.so; % check this again whther this is actually true. also see
205 | % https://static.healthcare.siemens.com/siemens_hwem-hwem_ssxa_websites-context-root/wcm/idc/groups/public/@global/@imaging/@mri/documents/download/mdaz/nzmy/~edisp/mri_60_graessner-01646277.pdf
206 | matlabbatch{1}.spm.temporal.st.refslice = param.st.refslice;
207 | matlabbatch{1}.spm.temporal.st.prefix = 'a';
208 | spm_jobman('run', matlabbatch);
209 | clear matlabbatch;
210 | end
211 |
212 |
213 | %% COREGISTRATION
214 | % in order to normalize the functional images, first coregister the T1 to the mean EPI image.
215 | if do_coregister
216 | clear matlabbatch;
217 | % use the mean EPI as the stationary reference image
218 | matlabbatch{1}.spm.spatial.coreg.estwrite.ref = cellstr(spm_select('FPList', [derivativesdir subdir '\func\'], '^mean.*.nii$'));
219 | % use the MPRAGE as the source image that will be warped to match the mean EPI
220 | matlabbatch{1}.spm.spatial.coreg.estwrite.source = cellstr(spm_select('FPList', [basedir subdir '\anat\'], '^sub.*.nii$'));
221 | matlabbatch{1}.spm.spatial.coreg.estwrite.other = {''};
222 | matlabbatch{1}.spm.spatial.coreg.estwrite.eoptions.cost_fun = 'nmi';
223 | matlabbatch{1}.spm.spatial.coreg.estwrite.eoptions.sep = [4 2];
224 | matlabbatch{1}.spm.spatial.coreg.estwrite.eoptions.tol = [0.02 0.02 0.02 0.001 0.001 0.001 0.01 0.01 0.01 0.001 0.001 0.001];
225 | matlabbatch{1}.spm.spatial.coreg.estwrite.eoptions.fwhm = [7 7];
226 | matlabbatch{1}.spm.spatial.coreg.estwrite.roptions.interp = 4;
227 | matlabbatch{1}.spm.spatial.coreg.estwrite.roptions.wrap = [0 0 0];
228 | matlabbatch{1}.spm.spatial.coreg.estwrite.roptions.mask = 0;
229 | matlabbatch{1}.spm.spatial.coreg.estwrite.roptions.prefix = 'r';
230 | spm_jobman('run', matlabbatch);
231 | clear matlabbatch;
232 |
233 | %file management: move newly generated files into derivatives
234 | %folder
235 | fname=spm_select('FPList',[basedir subdir '\anat\'],'^rsub.*.nii$');
236 | destination = regexprep(fname,'BIDS','derivatives');
237 | movefile (fname,destination) ;
238 |
239 | end
240 |
241 | %% SEGMENTATION
242 | % segment T1 with inverse and forward models
243 | if do_segmentation == 1
244 | clear matlabbatch;
245 | matlabbatch{1}.spm.spatial.preproc.channel.vols = cellstr(spm_select('FPList', [derivativesdir subdir '\anat\'], '^rsub.*.nii$'));
246 | matlabbatch{1}.spm.spatial.preproc.channel.biasreg = 0.001;
247 | matlabbatch{1}.spm.spatial.preproc.channel.biasfwhm = 60;
248 | matlabbatch{1}.spm.spatial.preproc.channel.write = [0 0];
249 | matlabbatch{1}.spm.spatial.preproc.tissue(1).tpm = {'D:\Data\Programs_Scripts\spm12\tpm\TPM.nii,1'}; % change the folders here
250 | matlabbatch{1}.spm.spatial.preproc.tissue(1).ngaus = 1;
251 | matlabbatch{1}.spm.spatial.preproc.tissue(1).native = [1 0];
252 | matlabbatch{1}.spm.spatial.preproc.tissue(1).warped = [0 0];
253 | matlabbatch{1}.spm.spatial.preproc.tissue(2).tpm = {'D:\Data\Programs_Scripts\spm12\tpm\TPM.nii,2'}; % and here
254 | matlabbatch{1}.spm.spatial.preproc.tissue(2).ngaus = 1;
255 | matlabbatch{1}.spm.spatial.preproc.tissue(2).native = [1 0];
256 | matlabbatch{1}.spm.spatial.preproc.tissue(2).warped = [0 0];
257 | matlabbatch{1}.spm.spatial.preproc.tissue(3).tpm = {'D:\Data\Programs_Scripts\spm12\tpm\TPM.nii,3'}; % and here
258 | matlabbatch{1}.spm.spatial.preproc.tissue(3).ngaus = 2;
259 | matlabbatch{1}.spm.spatial.preproc.tissue(3).native = [1 0];
260 | matlabbatch{1}.spm.spatial.preproc.tissue(3).warped = [0 0];
261 | matlabbatch{1}.spm.spatial.preproc.tissue(4).tpm = {'D:\Data\Programs_Scripts\spm12\tpm\TPM.nii,4'}; % and here
262 | matlabbatch{1}.spm.spatial.preproc.tissue(4).ngaus = 3;
263 | matlabbatch{1}.spm.spatial.preproc.tissue(4).native = [1 0];
264 | matlabbatch{1}.spm.spatial.preproc.tissue(4).warped = [0 0];
265 | matlabbatch{1}.spm.spatial.preproc.tissue(5).tpm = {'D:\Data\Programs_Scripts\spm12\tpm\TPM.nii,5'}; % and here
266 | matlabbatch{1}.spm.spatial.preproc.tissue(5).ngaus = 4;
267 | matlabbatch{1}.spm.spatial.preproc.tissue(5).native = [1 0];
268 | matlabbatch{1}.spm.spatial.preproc.tissue(5).warped = [0 0];
269 | matlabbatch{1}.spm.spatial.preproc.tissue(6).tpm = {'D:\Data\Programs_Scripts\spm12\tpm\TPM.nii,6'}; % and here
270 | matlabbatch{1}.spm.spatial.preproc.tissue(6).ngaus = 2;
271 | matlabbatch{1}.spm.spatial.preproc.tissue(6).native = [0 0];
272 | matlabbatch{1}.spm.spatial.preproc.tissue(6).warped = [0 0];
273 | matlabbatch{1}.spm.spatial.preproc.warp.mrf = 1;
274 | matlabbatch{1}.spm.spatial.preproc.warp.cleanup = 1;
275 | matlabbatch{1}.spm.spatial.preproc.warp.reg = [0 0.001 0.5 0.05 0.2];
276 | matlabbatch{1}.spm.spatial.preproc.warp.affreg = 'mni';
277 | matlabbatch{1}.spm.spatial.preproc.warp.fwhm = 0;
278 | matlabbatch{1}.spm.spatial.preproc.warp.samp = 3;
279 | matlabbatch{1}.spm.spatial.preproc.warp.write = [1 1];
280 | spm_jobman('run', matlabbatch);
281 | clear matlabbatch;
282 | end
283 |
284 |
285 | %% NORMALIZATION
286 | %normalize the images to MNI space
287 | if do_norm
288 | clear matlabbatch;
289 | % new normaization, using deformation fields from segmentation
290 | img_files = cellstr(spm_select('FPList', [derivativesdir subdir '\func\'], '^ausub.*\.nii$'));
291 | matlabbatch{1}.spm.spatial.normalise.write.subj.def = cellstr(spm_select('FPList', [derivativesdir subdir '\anat\'], '^y.*.nii$'));
292 | matlabbatch{1}.spm.spatial.normalise.write.subj.resample = img_files;
293 | matlabbatch{1}.spm.spatial.normalise.write.woptions.bb = [-78 -112 -70
294 | 78 76 85];
295 | matlabbatch{1}.spm.spatial.normalise.write.woptions.vox = [2 2 2];
296 | matlabbatch{1}.spm.spatial.normalise.write.woptions.interp = 4;
297 | matlabbatch{1}.spm.spatial.normalise.write.woptions.prefix = 'w';
298 | spm_jobman('run', matlabbatch);
299 | end
300 |
301 | %% SMOOTHING
302 | % smooth the images
303 | if do_smooth
304 | clear matlabbatch;
305 | img_files = [cellstr(spm_select('FPList', [derivativesdir subdir '\func\'], '^wausub.*.nii$'))];
306 | matlabbatch{1}.spm.spatial.smooth.data = img_files;
307 | matlabbatch{1}.spm.spatial.smooth.fwhm = param.smooth.fwhm;
308 | matlabbatch{1}.spm.spatial.smooth.dtype = 0;
309 | matlabbatch{1}.spm.spatial.smooth.im = 0;
310 | matlabbatch{1}.spm.spatial.smooth.prefix = 's';
311 | spm_jobman('run', matlabbatch);
312 | clear matlabbatch;
313 | end
314 |
315 |
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