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WhiteStripe  

White Matter Normalization for Magnetic Resonance Images
View on CRAN: Click here


Download and install WhiteStripe package within the R console
Install from CRAN:
install.packages("WhiteStripe")

Install from Github:
library("remotes")
install_github("cran/WhiteStripe")

Install by package version:
library("remotes")
install_version("WhiteStripe", "2.5.0")



Attach the package and use:
library("WhiteStripe")
Maintained by
John Muschelli
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-11-04
Latest Update: 2025-07-23
Description:
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.
How to cite:
John Muschelli (2014). WhiteStripe: White Matter Normalization for Magnetic Resonance Images. R package version 2.5.0, https://cran.r-project.org/web/packages/WhiteStripe. Accessed 13 Mar. 2026.
Previous versions and publish date:
1.0 (2014-11-04 22:31), 1.1.1 (2015-05-21 16:38), 2.2.2 (2017-03-08 19:59), 2.3.0 (2018-01-30 12:35), 2.3.1 (2018-04-19 01:14), 2.3.2 (2019-10-01 15:00), 2.4.0 (2021-04-07 17:30), 2.4.2 (2022-08-30 10:10), 2.4.3 (2024-05-10 05:50)
Other packages that cited WhiteStripe R package
View WhiteStripe citation profile
Other R packages that WhiteStripe depends, imports, suggests or enhances
Complete documentation for WhiteStripe
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