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Proceedings Paper

Groupwise shape analysis of the hippocampus using spectral matching
Author(s): Mahsa Shakeri; Hervé Lombaert; Sarah Lippé; Samuel Kadoury
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Paper Abstract

The hippocampus is a prominent subcortical feature of interest in many neuroscience studies. Its subtle morphological changes often predicate illnesses, including Alzheimer’s, schizophrenia or epilepsy. The precise location of structural differences requires a reliable correspondence between shapes across a population. In this paper, we propose an automated method for groupwise hippocampal shape analysis based on a spectral decomposition of a group of shapes to solve the correspondence problem between sets of meshes. The framework generates diffeomorphic correspondence maps across a population, which enables us to create a mean shape. Morphological changes are then located between two groups of subjects. The performance of the proposed method was evaluated on a dataset of 42 hippocampus shapes and compared with a state-of-the-art structural shape analysis approach, using spherical harmonics. Difference maps between mean shapes of two test groups demonstrates that the two approaches showed results with insignificant differences, while Gaussian curvature measures calculated between matched vertices showed a better fit and reduced variability with spectral matching.

Paper Details

Date Published: 21 March 2014
PDF: 7 pages
Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90340W (21 March 2014); doi: 10.1117/12.2043615
Show Author Affiliations
Mahsa Shakeri, Ecole Polytechnique de Montréal (Canada)
CHU Sainte-Justine Hospital Research Ctr. (Canada)
Hervé Lombaert, McGill Univ. (Canada)
Sarah Lippé, CHU Sainte-Justine Hospital Research Ctr. (Canada)
Univ. de Montréal (Canada)
Samuel Kadoury, Ecole Polytechnique de Montréal (Canada)
CHU Sainte-Justine Hospital Research Ctr. (Canada)

Published in SPIE Proceedings Vol. 9034:
Medical Imaging 2014: Image Processing
Sebastien Ourselin; Martin A. Styner, Editor(s)

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