The present invention relates to an apparatus for hierarchically diagnosing brain atrophy disease on the basis of brain thickness information. The apparatus may comprise: a brain structure modeling unit for generating a gray matter surface mesh and a white matter surface mesh by mesh-modelling a plurality of MRI images; a brain thickness extraction unit for collecting and analyzing the distance between corresponding points of the gray matter surface mesh and the white matter surface mesh so as to acquire brain thickness information; a learning data generation unit for generating and storing a plurality of pieces of learning data including brain thickness information and diagnosis information when a diagnosis model learning is requested; a diagnosis model learning unit for classifying the brain thickness information into groups having a hierarchical structure according to the diagnosis information and acquiring group-specific feature information through analysis thereof, the diagnosis model learning unit generating and learning a hierarchical classifier by reflecting the group hierarchical structure and the group-specific feature information; and a brain atrophy disease diagnosis unit for acquiring new brain thickness information when a new MRI image of a person to be diagnosed is input, and then hierarchically identifying and reporting the type of brain atrophy disease corresponding to the new thickness information through the hierarchical classifier.
APPARATUS FOR HIERARCHICALLY DIAGNOSING BRAIN ATROPHY DISEASE ON BASIS OF BRAIN THICKNESS INFORMATION