The rate at which neuroimaging data is being acquired, such as magnetic resonance imaging (MRI) scans and functional MRI (fMRI) data, has increased significantly, with many studies involving hundreds of subjects. As a result, there is a requirement for automated processing, analysis and visualization methods for cortical data. In this presentation, I will describe some of the mathematical methods and approaches we have adopted to process MRI data, including segmentation, surface generation, cortical flattening and the creation of a coordinate system in a cortical region of interest. I will describe how these methods assist with visualizing, identifying and delineating anatomical boundaries, and localizing functional brain data.