Hippocampal surface analysis using spherical harmonic function applied to surface conformal mapping

Boris Gutman, Yalin Wang, Lok Ming Lui, Tony F. Chan, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Using spherical harmonics of an inverse conformal map, we compared hippocampal surfaces of sixteen Alzheimer (AD) and fourteen control subjects. Hippocampal surfaces were conformally mapped to a sphere. Maps were regularly sampled and exact, high-degree spherical harmonic transforms of the inverse maps were computed. Using the transforms shape descriptors corresponding to the degree of the harmonics and invariant to translation, rotation, and scale were obtained and normalized against sample mean. Two-dimensional visualizations of the shape descriptors were indicative of global as well as local shape features of hippocampal surfaces. These descriptors are potentially useful for visual detection of global patterns and creation of population-based, probabilistic, disease-specific digital atlases, especially for comparison of global shape features.

Original languageEnglish (US)
Title of host publicationProceedings - 18th International Conference on Pattern Recognition, ICPR 2006
Pages964-967
Number of pages4
DOIs
StatePublished - Dec 1 2006
Externally publishedYes
Event18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, China
Duration: Aug 20 2006Aug 24 2006

Publication series

NameProceedings - International Conference on Pattern Recognition
Volume3
ISSN (Print)1051-4651

Other

Other18th International Conference on Pattern Recognition, ICPR 2006
CountryChina
CityHong Kong
Period8/20/068/24/06

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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    Gutman, B., Wang, Y., Lui, L. M., Chan, T. F., & Thompson, P. M. (2006). Hippocampal surface analysis using spherical harmonic function applied to surface conformal mapping. In Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006 (pp. 964-967). [1699686] (Proceedings - International Conference on Pattern Recognition; Vol. 3). https://doi.org/10.1109/ICPR.2006.627