DBP2:MIND:itkBayesianLesion

From NAMIC

ITK-based 2 stage lesion segmentation method developed by Vince Magnotta

   * stage one uses k-means tissue classification into grey, white, or csf of co-registered T1/T2
   * stage two use bayesian classifier into normal tissue or lesion using results of stage one and co-reigstered Flair

Below image shows current result using T1,T2, and FLAIR, segmented into gray, white, csf, and lesion, the blue arrow highlights correct location of lesion