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MRI Brain Scan Classification According to The Nature of The Corpus Callosum

Two mechanisms for classifying Magnetic Resonance Image (MRI) brain scans according to the nature of the corpus callosum are described. The first mechanism adopts an approach founded on the concept of graph mining whereby MRI scans are represented in terms of frequently occurring sub-graphs across the data set, the second is founded on a time series representation coupled with a Case Based Reasoning (CBR) approach to classification. The two mechanisms are evaluated through application to a set of MRI scans describing musicians and non-musicians. In both cases a high degree of accuracy is obtained.