Despite modern imaging technologies, problems are faced in quantitative brain morphology studies. Since the structural and functional organization of the human brain is complex, advanced methods are needed. Current methods are incapable of detecting complete shape anomalies. Moreover, the rapidly increasing volume of image data forces development of image analysis methodologies that can be processed fast and locally. All of these requirements create the need for an advanced shape analysis technique to characterize brain morphology. Solutions to the defined problems while monitoring the effects of neuro-degenerative diseases on the Corpus Callosum morphology are being investigated in this study via shape grammars.