White Matter Normalization for Magnetic Resonance Images using WhiteStripe

Shinohara (2014) introduced 'WhiteStripe', an intensity-based normalization of T1 and T2 images, where normal appearing white matter performs well, but requires segmentation. This method performs white matter mean and standard deviation estimates on data that has been rigidly-registered to the 'MNI' template and uses histogram-based methods.

Package for White Stripe segmentation algorithm presented in Statistical normalization techniques for magnetic resonance imaging


WhiteStripe 2.3.0

  • Fixed the installation to not write user directory for Debian.

  • Aded FA and MD operations for whitestripe.

  • Added a NEWS.md file to track changes to the package.

Reference manual

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2.4.0 by John Muschelli, 10 months ago

Report a bug at https://github.com/muschellij2/WhiteStripe/issues

Browse source code at https://github.com/cran/WhiteStripe

Authors: R. Taki Shinohara [aut] , John Muschelli [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports graphics, stats, utils, oro.nifti, mgcv, neurobase

Depends on methods

Suggests knitr, rmarkdown

See at CRAN