if isempty(which('spm')),
throw(MException('SPMCheck:NotFound',
'SPM not in matlab path'));
end
[name, version] = spm('ver');
fprintf('SPM version: %s Release:
%sn',name, version);
fprintf('SPM path: %sn', which('spm'));
spm('Defaults','fMRI');
if strcmp(name, 'SPM8') ||
strcmp(name(1:5), 'SPM12'),
spm_jobman('initcfg');
spm_get_defaults('cmdline', 1);
end
antsRegistration --collapse-output-transforms 1 --dimensionality 3 --initial-
moving-transform [ trans.mat, 1 ] --initialize-transforms-per-stage 1 --
interpolation Linear --output [ output_, output_warped_image.nii.gz ] --
restore-state trans.mat --save-state trans.mat --transform Affine[ 2.0 ]
--metric Mattes[ fixed1.nii, moving1.nii, 1, 32, Random, 0.05 ] --convergence [
1500x200, 1e-08, 20 ] --smoothing-sigmas 1.0x0.0vox --shrink-factors 2x1 --use-
estimate-learning-rate-once 1 --use-histogram-matching 1 --transform SyN[ 0.25,
3.0, 0.0 ] --metric Mattes[ fixed1.nii, moving1.nii, 1, 32 ] --convergence [
100x50x30, 1e-09, 20 ] --smoothing-sigmas 2.0x1.0x0.0vox --shrink-factors 3x2x1
--use-estimate-learning-rate-once 1 --use-histogram-matching 1 --winsorize-
image-intensities [ 0.0, 1.0 ] --write-composite-transform 1
workflow.run(plugin=“SGE”)
Workflow.run(plugin=“MultiProc”)
Nipype
Nipype
Nipype

Nipype

  • 11.
    if isempty(which('spm')), throw(MException('SPMCheck:NotFound', 'SPM notin matlab path')); end [name, version] = spm('ver'); fprintf('SPM version: %s Release: %sn',name, version); fprintf('SPM path: %sn', which('spm')); spm('Defaults','fMRI'); if strcmp(name, 'SPM8') || strcmp(name(1:5), 'SPM12'), spm_jobman('initcfg'); spm_get_defaults('cmdline', 1); end
  • 12.
    antsRegistration --collapse-output-transforms 1--dimensionality 3 --initial- moving-transform [ trans.mat, 1 ] --initialize-transforms-per-stage 1 -- interpolation Linear --output [ output_, output_warped_image.nii.gz ] -- restore-state trans.mat --save-state trans.mat --transform Affine[ 2.0 ] --metric Mattes[ fixed1.nii, moving1.nii, 1, 32, Random, 0.05 ] --convergence [ 1500x200, 1e-08, 20 ] --smoothing-sigmas 1.0x0.0vox --shrink-factors 2x1 --use- estimate-learning-rate-once 1 --use-histogram-matching 1 --transform SyN[ 0.25, 3.0, 0.0 ] --metric Mattes[ fixed1.nii, moving1.nii, 1, 32 ] --convergence [ 100x50x30, 1e-09, 20 ] --smoothing-sigmas 2.0x1.0x0.0vox --shrink-factors 3x2x1 --use-estimate-learning-rate-once 1 --use-histogram-matching 1 --winsorize- image-intensities [ 0.0, 1.0 ] --write-composite-transform 1
  • 32.