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Novel approach to feature extraction for MRI segmentation

Magnetic resonance images (MRI) of the brain are segmented into tumor and non-tumor to provide an objective means for measuring the response of a tumor to therapy. This paper focuses on automatic feature extraction to improve brain tumor segmentation using genetic algorithms (GAs). Using the discovered features, a significant increase in accuracy of tumor segmentation is seen. Moreover, this improvement is consistent over a tumor volume outside the training data.