WhiteStripe: White Matter Normalization for Magnetic Resonance Images using WhiteStripe

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: 2.3.1
Depends: R (≥ 2.10), methods
Imports: graphics, stats, utils, oro.nifti (≥ 0.5.0), mgcv
Suggests: knitr, rmarkdown
Published: 2018-04-18
Author: R. Taki Shinohara, John Muschelli
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

Downloads:

Reference manual: WhiteStripe.pdf
Vignettes: Running WhiteStripe on T1- and T2-weighted Imaging
Package source: WhiteStripe_2.3.1.tar.gz
Windows binaries: r-prerel: WhiteStripe_2.3.1.zip, r-release: WhiteStripe_2.3.1.zip, r-oldrel: WhiteStripe_2.3.1.zip
OS X binaries: r-prerel: WhiteStripe_2.3.1.tgz, r-release: WhiteStripe_2.3.1.tgz
Old sources: WhiteStripe archive

Linking:

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