Functional MRI, on the other hand, indirectly measures the amount of neural activity in different regions of the cortex.
Cortical activity occurs largely in the gray matter regions of the cortex.
Thus, most visualization techniques require prior segmentation of this gray matter component. Currently, much of gray matter segmentation is performed manually. This process is tedious and requires several days even for a trained person. On the other hand, most automatic gray matter segmentation methods that have been proposed do not consider anatomical constraints and often produce segmentations that are anatomically incorrect. We propose a new semi-automatic method of gray matter segmentation that takes into consideration these anatomical requirements.