CRAN

WhiteStripe 2.3.1

White Matter Normalization for Magnetic Resonance Images using WhiteStripe

Released Apr 18, 2018 by John Muschelli

This package can be loaded by Renjin but 4 out 5 tests failed.

Dependencies

mgcv 1.8-23 oro.nifti 0.9.1

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.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>WhiteStripe</artifactId>
    <version>2.3.1-b3</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

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Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:WhiteStripe')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.

Source

R

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Release History