pipeline_dbm.pl
deformation-based morphometry from nonlinear transforms
pipeline_dbm.pl <input.xfm> <output_dbm> [options]
DESCRIPTION
pipeline_dbm.pl performs deformation-based morphometry (DBM) by computing a smoothed Jacobian determinant map from a nonlinear transformation file. The resulting DBM map represents local volume changes relative to a reference model, where values greater than 1 indicate local expansion and values less than 1 indicate local contraction.
The nonlinear transformation is typically produced by pipeline_nlr.pl and maps a subject’s brain to a standard template. The Jacobian determinant field is blurred with a Gaussian kernel whose full-width at half-maximum (FWHM) is controlled by the –fwhm option (default 8 mm).
OPTIONS
--verbose- Print progress information during processing.
--clobber- Overwrite the output file if it already exists.
--fwhm <f>- Full-width at half-maximum of the Gaussian blurring kernel applied to the Jacobian determinant map, in millimetres. Default is 8.
--model <file>- Reference model volume used to define the output sampling grid.
EXAMPLES
Compute a DBM map with default 8 mm smoothing:
pipeline_dbm.pl nl_transform.xfm dbm_output.mnc
Compute a DBM map with 4 mm smoothing:
pipeline_dbm.pl nl_transform.xfm dbm_output.mnc --fwhm 4
Compute a DBM map with a specific model and clobber:
pipeline_dbm.pl nl_transform.xfm dbm_output.mnc \
--model icbm_avg_152_t1_tal_nlin_symmetric_VI.mnc --clobber
AUTHOR
Vladimir S. Fonov - McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University.
COPYRIGHTS
Copyright © McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University.