Proceedings Paper
Shape manifold regression with spherical harmonics for hippocampus shape analysis| Format | Member Price | Non-Member Price |
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Paper Abstract
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.
Paper Details
Date Published: 20 March 2013
PDF: 9 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866940 (20 March 2013); doi: 10.1117/12.2007158
Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)
PDF: 9 pages
Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 866940 (20 March 2013); doi: 10.1117/12.2007158
Show Author Affiliations
Xuejiao Chen, Institute of Automation (China)
Wenjing Li, Institute of Automation (China)
Jing Hua, Wayne State Univ. (United States)
Wenjing Li, Institute of Automation (China)
Jing Hua, Wayne State Univ. (United States)
Published in SPIE Proceedings Vol. 8669:
Medical Imaging 2013: Image Processing
Sebastien Ourselin; David R. Haynor, Editor(s)
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