White Matter Normalization for Magnetic Resonance Images R package WhiteStripe version 2.5.0 Shinohara (2014) <doi:10.1016/j.nicl.2014.08.008> 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. Software Depends: R (>= 2.10), methods Imports: graphics, stats, utils, oro.nifti (>= 0.5.0), mgcv, neurobase Suggests: knitr, rmarkdown John Muschelli <muschellij2@gmail.com> Comprehensive R Archive Network (CRAN) R. Taki Shinohara [aut], John Muschelli [aut, cre] (ORCID: <https://orcid.org/0000-0001-6469-1750>) GPL-3 2025-07-23 application/tgz https://CRAN.R-project.org/package=WhiteStripe doi:10.32614/CRAN.package.WhiteStripe