Kiho Im1, Rudolph Pienaar1, Jong-Min Lee2, Joon-Kyung Seong3, Yu Yong Choi2, Kun Ho Lee4, P. Ellen Grant1
1Children's Hospital Boston, Boston, MA, United States; 2Hanyang University; 3Soongsil University; 4Chosun University
We present a novel quantitative method for automatically comparing and analyzing sulcal patterns using a sulcal pit-based graph. We computed similarity between graphs by determining the optimal match using a spectral method which exploits geometric features of nodes as well as their relationships. Our method was applied to twin data and showed that the similarity of the sulcal pattern in twin pairs was significantly higher than in unrelated pairs. This method can be applied to various genetic developmental disorders, to provide a quantitative and reliable comparison of gyral folding based on sulcal anatomy.