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Image segmentation is a significant research field in medical engineering. Segmented brain images are used to visualize volume and quantitatively analyse anatomical and cortical structures. Segmented brain tissues provide an anatomical frame work for visualisation which has a potential use in neuro-science research and neurosurgical planning owing to advances in Magnetic Resonance Imaging (MRI). Segmentation refers to the labeling of pixels into different regions. At a higher level these regions can be labeled as anatomical structures and then grouped across different slices to give three dimensional descriptions of these structures. The method proposed here is successful in segmenting the brain without human intervention and accurately detecting the variation in the total volume or size of the brain. The purpose of this work is to detect any subtle changes in the volume of the brain.

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