Dissimilarity-based Classification of MRIs for Early Diagnosis of Dementia

author: Marco Loog, Pattern Recognition Laboratory, Delft University of Technology (TU Delft)
published: Sept. 13, 2010,   recorded: August 2010,   views: 3047


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We present the possibility of detecting dementia in an early stage using dissimilarity-based classification. The approach is based on the nonrigid registration of MR brain scans, which lends itself very well for a dissimilarity-based treatment. As discussed, there is no need to go trough the difficult process of building an atlas or the like, as the registration can be easily performed in a pairwise fashion and a dissimilarity measure can be computed directly in this way. The experiments show that a classification accuracy of 88% can attained for prediction of dementia within 5 years [with a specificity of 82% and a sensitivity of 93%], demonstrating the potential of the method to aid in early diagnosis of dementia.

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