volumes_pca_preprocess

Preprocess volumes for PCA analysis.

volumes_pca_preprocess [options] <training_list> <output_prefix>

DESCRIPTION

volumes_pca_preprocess preprocesses a set of MINC volumes listed in a training file in preparation for principal component analysis. The tool computes the mean volume and subtracts it from each input, writing the centered volumes and preprocessing data using the specified output prefix.

This preprocessing step is typically run before volumes_pca to prepare the data for efficient PCA computation on large datasets.

OPTIONS

--verbose

Print progress information during processing.

--clobber

Overwrite existing output files.

--threshold f

Set the variance threshold for preprocessing. Default: 0.98.

EXAMPLES

Preprocess volumes for PCA:

volumes_pca_preprocess training_list.txt preprocessed_

Preprocess with verbose output:

volumes_pca_preprocess --verbose training_list.txt preprocessed_

AUTHOR

Vladimir S. Fonov - McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University.

COPYRIGHTS

Copyright © 2011 by Vladimir S. Fonov

SEE ALSO

volumes_pca, volumes_lm, grids_pca