whitestripe_norm

Taking the indices from white stripe to normalize the
intensity values of the brain

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.

John Muschelli

WhiteStripe

White Matter Normalization for Magnetic Resonance Images

R. Taki Shinohara

whitestripe_norm function

<dl><dt>img</dt>
<dd>Array or object of class nifti</dd>
<dt>indices</dt>
<dd>Indices of white stripe from <code>whitestripe</code>.
Can also be a mask (indices where mask &gt; 0 are used.)</dd>
<dt>...</dt>
<dd>arguments to be passed to <code><a href="/link/mean?package=WhiteStripe&version=2.4.3" data-mini-rdoc="WhiteStripe::mean">mean</a></code> and <code><a href="/link/sd?package=WhiteStripe&version=2.4.3" data-mini-rdoc="WhiteStripe::sd">sd</a></code></dd></dl>

Arguments

Normalize Image using white stripe — whitestripe_norm

<dl>

<dt>img</dt>
<dd>Array or object of class nifti</dd>


<dt>indices</dt>
<dd>Indices of white stripe from <code>whitestripe</code>.
Can also be a mask (indices where mask &gt; 0 are used.)</dd>


<dt>...</dt>
<dd>arguments to be passed to <code><a href='https://rdrr.io/r/base/mean.html'>mean</a></code> and <code><a href='https://rdrr.io/r/stats/sd.html'>sd</a></code></dd>

</dl>

whitestripe_norm: Normalize Image using white stripe

Description

Usage

Value

Arguments