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: | 2.4.2 |
Depends: | R (≥ 2.10), methods |
Imports: | graphics, stats, utils, oro.nifti (≥ 0.5.0), mgcv, neurobase |
Suggests: | knitr, rmarkdown |
Published: | 2022-08-30 |
Author: | R. Taki Shinohara [aut],
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 |
Reference manual: | WhiteStripe.pdf |
Vignettes: |
Running WhiteStripe on T1- and T2-weighted Imaging |
Package source: | WhiteStripe_2.4.2.tar.gz |
Windows binaries: | r-devel: WhiteStripe_2.4.2.zip, r-release: WhiteStripe_2.4.2.zip, r-oldrel: WhiteStripe_2.4.2.zip |
macOS binaries: | r-release (arm64): WhiteStripe_2.4.2.tgz, r-oldrel (arm64): WhiteStripe_2.4.2.tgz, r-release (x86_64): WhiteStripe_2.4.2.tgz, r-oldrel (x86_64): WhiteStripe_2.4.2.tgz |
Old sources: | WhiteStripe archive |
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