WhiteStripe: White Matter Normalization for Magnetic Resonance Images

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.

Version: 2.4.3
Depends: R (≥ 2.10), methods
Imports: graphics, stats, utils, oro.nifti (≥ 0.5.0), mgcv, neurobase
Suggests: knitr, rmarkdown
Published: 2024-05-10
DOI: 10.32614/CRAN.package.WhiteStripe
Author: R. Taki Shinohara [aut], John Muschelli ORCID iD [aut, cre]
Maintainer: John Muschelli <muschellij2 at gmail.com>
BugReports: https://github.com/muschellij2/WhiteStripe/issues
License: GPL-3
NeedsCompilation: no
Citation: WhiteStripe citation info
Materials: NEWS
CRAN checks: WhiteStripe results


Reference manual: WhiteStripe.pdf
Vignettes: Running WhiteStripe on T1- and T2-weighted Imaging


Package source: WhiteStripe_2.4.3.tar.gz
Windows binaries: r-devel: WhiteStripe_2.4.3.zip, r-release: WhiteStripe_2.4.3.zip, r-oldrel: WhiteStripe_2.4.3.zip
macOS binaries: r-release (arm64): WhiteStripe_2.4.3.tgz, r-oldrel (arm64): WhiteStripe_2.4.3.tgz, r-release (x86_64): WhiteStripe_2.4.3.tgz, r-oldrel (x86_64): WhiteStripe_2.4.3.tgz
Old sources: WhiteStripe archive


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