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Abstract #2647

Automatic Detection and Classification of Hypointensity in MR Images of the Brain

Jasinschi R, van Muiswinkel A, Ekin A, van Es A, van der Grond J, van Buchem M
Philips Research

A method for automated detection and classification of hypointense regions on T2-weighted MR images of the Basal Ganglia (BG) is presented. The detection includes the segmentation of the BG and the use of a normalized feature to detect hypointense regions. We validated our approach by comparing the automated results with a radiologists assessment of patient data, and found good agreement between these results.