Kim Mouridsen1,2, Rudolph Pienaar3,4
1Neuroradiology, Center for Functionally
Integrative Neuroscience, Aarhus, Denmark; 2Radiology,
Massachusetts General Hospital, Boston, MA, United States; 3Radiology,
Childrens Hospital Boston, Boston, MA, United States; 4Radiology,
Harvard Medical School, Boston, MA, United States
We
present a method to analyze cortical shapes based on wavelet decomposition of
curvature functions. Using spherical harmonics as effective encoding, we show
that groups of healthy controls and patients suffering from polymicrogyria
may be identified using automated classification techniques.
Keywords