Yonghui Fan’s MICCAI Paper Got Accepted, Congratulation!

Yonghui Fan, Gang Wang, Natasha Lepore, Yalin Wang

We use tetrahedral mesh as a volumetric modeling method for analyzing the cerebral cortex thickness morphometry. A discriminative heat flux signature (tHFS) and an affiliated diffeomorphic metric, the tHFS distance, are proposed. The new thickness descriptor performs significantly better in disease severity classification experiments.

Image of MICCAI paper: We use tetrahedral mesh as a volumetric modeling method for analyzing the cerebral cortex thickness morphometry. A discriminative heat flux signature (tHFS) and an affiliated diffeomorphic metric, the tHFS distance, are proposed. The new thickness descriptor performs significantly better in disease severity classification experiments.