411 REFERENCE · Wikibooks
SPM/Programming intro
Reference material by Wikibooks contributors. This retains its source identity and is not 411 news reporting.
Aim
This page is intended to provide a quick-start guide to writing your own MATLAB scripts and functions using SPM as a library. SPM programming can mean simply writing batch scripts to automate common pipelines, writing short helper scripts or functions to accomplish useful tasks, writing your own SPM extensions, or even modifying your local installation of SPM.
MATLAB
MATLAB is a programming language developed by MathWorks.
MATLAB and MathWorks on Wikipedia
MATLAB on WikiBooks
Many MATLAB tutorials are available online:
MATLAB Tutorial
There are also useful books:
MATLAB for Neuroscientists
MATLAB for Psychologists
MATLAB courses:
MATLAB for Psychology and Neuroscience short course in Nottingham
MATLAB for Psychologists short course in London
SPM functions
Introduction
SPM has extensive developer documentation in the headers of the source files. To view the documentation of a function either open the corresponding source file or call help function from the MATLAB command line. Make sure that the SPM folder is in MATLABs search path.
Reading image headers and data
spm_vol – header information
spm_read_vols – for reading entire volumes (see also: spm_vol)
spm_slice_vol – for arbitrary planes
spm_sample_vol – any voxels
spm_get_data (spm_sample_vol) – any voxels from multiple volumes
spm_bsplins (spm_bsplinc) – NB spm_slice_vol and spm_sample_vol offer polynomial or sinc interpolation; these functions provide b-spline interp as used in spm_reslice
Writing data
spm_write_vol (spm_vol)
spm_create_vol
spm_write_plane
Reading and writing data with the alternative NIfTI class library
nifti (@nifti/Contents, @nifti/create)
file_array (@file_array/Contents)
Geometry, voxel-world mappings
spm_get_space – get the voxel-world mapping matrix (a rigid or affine transform, in homogeneous coordinates)
spm_imatrix – convert above matrix to parametrised form
spm_matrix – convert parameter vector to affine matrix
spm_check_orientations
Linear (rigid/affine) registration and reslicing
spm_realign
spm_coreg (spm_reslice)
spm_affreg
spm_reslice – needs reference image; see following for reslicing to specified geometry
reorient (resize_img) – available from John's Gems 2 and 3
Preprocessing, including segmentation and non-linear normalisation
spm_preproc (spm_config_preproc, spm_prep2sn, spm_preproc_write) – SPM5's unified segmentation and normalisation
spm_normalise – the old pre-SPM5 non-unified spatial normalisation
spm_segment – the old pre-SPM5 non-unified tissue segmentation
spm_smooth
Processing
spm_imcalc – perform arbitrary calculations on volumes (low level function)
spm_imcalc_ui – high level convenience wrapper for spm_imcalc
Statistics
spm_ancova (spm_reml_ancova) – unused by SPM itself, but often useful for scripting or educational purposes
Viewing data
spm_check_registration (spm_image, spm_orthviews) – the ubiquitous three orthogonal views
slover – slices through images, overlays of thresholded or raw statistics; see also slice_overlay
spm_mip_ui (spm_mip) – maximum intensity projections or glass brain images
Configuration
spm_defaults
spm_get_defaults
Batch System
spm_select
spm_jobman
Illustrative examples
Reading and writing a volume (to replace NaNs with zeros)
A simpler (but more memory-hungry) version of an old Gem. See the SPM8 version of gem for an example of plane-wise reading and writing.
fnm = spm_select(1, 'image');
[pth, bnm, ext] = spm_fileparts(fnm);
VI = spm_vol(fnm);
VO = VI; % copy input info for output image
VO.fname = fullfile(pth, [bnm '_zn' ext]);
img = spm_read_vols(VI);
img(isnan(img)) = 0; % use ~isfinite instead of isnan to replace +/-inf with zero
spm_write_vol(VO,img);
External links
See also:
John Ashburner's SPM Gems (SPM2, SPM5)
Ged Ridgway's SPM8 scripts
Chris Rorden's SPM8 scripts
SPM Batch scripting
SPM Extensions