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WhiteStripe (version 2.4.3)

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

164

Version

2.4.3

License

GPL-3

Maintainer

John Muschelli

Last Published

May 10th, 2024

Functions in WhiteStripe (2.4.3)

get.last.mode

Get Last Peak
t1.voi.hist

Histogram of VOI of T1 template image
download_img_data

Download T1 and T2 data
get.deriv.smooth.hist

Gets nth derivative of smoothed histogram
make_img_voi

Make Image VOI
get.first.mode

Get First Peak
whitestripe_norm

Normalize Image using white stripe
smooth_hist

Histogram smoothing for whitestripe
get.largest.mode

Grab largest peak
whitestripe

Performs White Stripe of T1 or T2 Images
ws_img_data

Return Filenames of T1 and T2 data
t2.voi.hist

Histogram of VOI of T2 template image
xvals

Midpoints from VOI histogram
s.hist

Smoothed histogram of image
whitestripe_ind_to_mask

WhiteStripe Indices to Mask
whitestripe_hybrid

Hybrid WhiteStripe