%0 Journal Article
%T AUTOMATIC CLASSIFICATION OF STRUCTURAL MRI FOR DIAGNOSIS OF NEURODEGENERATIVE DISEASES
%A Diaz Gloria
%A Romero Eduardo
%A Hern¨˘ndez-Tamames Juan Antonio
%A Molina Vicente
%J Acta Biol¨®gica Colombiana
%D 2010
%I Universidad Nacional de Colombia
%X This paper presents an automatic approach which classifies structural Magnetic Resonance images into pathological or healthy controls. A classification model was trained to find the boundaries that allow to separate the study groups. The method uses the deformation values from a set of regions, automatically identified as relevant, in a process that selects the statistically significant regions of a t-test under the restriction that this significance must be spatially coherent within a neighborhood of 5 voxels. The proposed method was assessed to distinguish healthy controls from schizophrenia patients. Classification results showed accuracy between 74% and 89%, depending on the stage of the disease and number of training samples.
%K Neurodegenerative disease
%K structural MRI
%K pattern classification
%K SPM
%K VBM
%K DARTEL
%K support vector machines.
%U http://revistas.unal.edu.co/index.php/actabiol/article/view/16701