Title: Segmenting Magnetic Resonance Images via Hierarchical Mixture Modelling



       Carey E. Priebe, Michael I. Miller, J. Tilak Ratnanather
                       Center for Imaging Science
		        Johns Hopkins University
			   Baltimore, MD 21218
			   Email: cep@jhu.edu
           Web: http://www.mts.jhu.edu/~priebe/akm4mri.html


Abstract:
We present a statistically innovative as well as scientifically and 
practically relevant method for automatically segmenting magnetic resonance 
images using hierarchical mixture models. Our method is a general tool for 
automated cortical analysis which promises to contribute substantially to the 
science of neuropsychiatry.