Shape manifold regression with spherical harmonics for hippocampus shape analysis
Xuejiao Chen, Wenjing Li, Jing Hua, Xiaopeng Zhang, Huiguang He · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
Shape regression analysis is a powerful tool to study local shape changes as a function of an independent regressor variable. In this paper, we introduce spherical harmonic(SPHARM) representation to surface manifold learning and shape regression. Here, we use root mean square distance(RMSD) to measure the deformation degree of the surface, and find out that the hippocampus’ deformation degree is increased over age. We also investigate the particular changing area, and discover that the hippocampus have significant changes in the frontal area and tail area, especially in CA1 subfield.