ws_img_data

Return filenames T1 and T2 data for example 
and vignettes

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

ws_img_data function

<dl><dt>lib.loc</dt>
<dd>a character vector with path names of R libraries. 
Passed to <code><a href="/link/system.file?package=WhiteStripe&version=2.4.3" data-mini-rdoc="WhiteStripe::system.file">system.file</a></code></dd>
<dt>warn</dt>
<dd>Should a warning be printed if the images were not
there</dd></dl>

Arguments

Return Filenames of T1 and T2 data — ws_img_data

<dl>

<dt>lib.loc</dt>
<dd>a character vector with path names of R libraries. 
Passed to <code><a href='https://rdrr.io/r/base/system.file.html'>system.file</a></code></dd>


<dt>warn</dt>
<dd>Should a warning be printed if the images were not
there</dd>

</dl>

ws_img_data: Return Filenames of T1 and T2 data

Description

Usage

Value

Arguments