View source for DBP2:MIND:itkBayesianLesion

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

[[Image:ItkBayesianLesion_example_results.jpg]]