An algorithm to compute sulcal medial surfaces for feature extraction was developed.
Medial surface features of depth, length, curvature, and surface area were computed.
Classification of Alzheimer's disease and healthy controls was performed.
High classification results were obtained with ten features from nine cerebral sulci.