Sha256: d9ea35a888899865953f4dd4666f8216612a5021e19ae364c6f231fd11c7e432
Contents?: true
Size: 899 Bytes
Versions: 10
Compression:
Stored size: 899 Bytes
Contents
function [] = JohnsonTbiLongitudinalSnodPreproc(studypath, images, image_boldreps, job_mfile)
% [] = Calls and runs TBI Longitudinal preproc job.
% merit_preproc('/private/tmp/mrt00015_orig/', ...
% {'amrt00015_task1.nii' 'amrt00015_task2.nii' 'amrt00015_rest.nii'}, ...
% {164 164 164}, ...
% '/private/tmp/mrt00015_orig/mrt00015_preproc_job.m')
%
spm('defaults', 'FMRI');
% List of open inputs
% Realign: Estimate: Session - cfg_files
% Realign: Estimate: Session - cfg_files
% Realign: Estimate: Session - cfg_files
nrun = 1; % enter the number of runs here
jobfile = {job_mfile};
jobs = repmat(jobfile, 1, nrun);
inputs = cell(3, nrun);
for crun = 1:nrun
for index = 1:length(images)
inputs{index, crun} = CreateFunctionalVolumeStruct(studypath, images{index}, image_boldreps{index}); % Realign: Estimate: Session - cfg_files
end
end
spm_jobman('serial', jobs, '', inputs{:});
Version data entries
10 entries across 10 versions & 1 rubygems