WhiteStripe: White Matter Normalization for Magnetic Resonance Images using Whitestripe
Version 2.2.2

Shinohara et. al (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 details

AuthorR. Taki Shinohara, John Muschelli
Date of publication2017-03-08 19:59:33
MaintainerJohn Muschelli <[email protected]>
LicenseGPL-3
Version2.2.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("WhiteStripe")

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WhiteStripe documentation built on May 30, 2017, 2:04 a.m.