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WhiteStripe (version 2.5.0)

White Matter Normalization for Magnetic Resonance Images

Description

Shinohara (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.

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Version

Install

install.packages('WhiteStripe')

Monthly Downloads

307

Version

2.5.0

License

GPL-3

Maintainer

John Muschelli

Last Published

July 23rd, 2025

Functions in WhiteStripe (2.5.0)

s.hist

Smoothed histogram of image
get.last.mode

Get Last Peak
download_img_data

Download T1 and T2 data
get.first.mode

Get First Peak
get.largest.mode

Grab largest peak
make_img_voi

Make Image VOI
get.deriv.smooth.hist

Gets nth derivative of smoothed histogram
smooth_hist

Histogram smoothing for whitestripe
ws_img_data

Return Filenames of T1 and T2 data
whitestripe

Performs White Stripe of T1 or T2 Images
whitestripe_norm

Normalize Image using white stripe
t2.voi.hist

Histogram of VOI of T2 template image
t1.voi.hist

Histogram of VOI of T1 template image
whitestripe_ind_to_mask

WhiteStripe Indices to Mask
whitestripe_hybrid

Hybrid WhiteStripe
xvals

Midpoints from VOI histogram