White Matter Normalization for Magnetic Resonance Images using WhiteStripe

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.

Package for White Stripe segmentation algorithm presented in Statistical normalization techniques for magnetic resonance imaging