neuroconductor/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.

Getting started

Package details

AuthorR. Taki Shinohara, John Muschelli
MaintainerJohn Muschelli <muschellij2@gmail.com>
LicenseGPL-3
Version2.3.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("neuroconductor/WhiteStripe")
neuroconductor/WhiteStripe documentation built on May 19, 2021, 5:18 a.m.