Groupwise shape analysis of the hippocampus using spectral matching

Mahsa Shakeri; Hervé Lombaert; Sarah Lippé; Samuel Kadoury

doi:10.1117/12.2043615

21 March 2014 Groupwise shape analysis of the hippocampus using spectral matching

Mahsa Shakeri, Hervé Lombaert, Sarah Lippé, Samuel Kadoury

Proceedings Volume 9034, Medical Imaging 2014: Image Processing; 90340W (2014) https://doi.org/10.1117/12.2043615
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

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.

Citation Download Citation

Mahsa Shakeri, Hervé Lombaert, Sarah Lippé, and Samuel Kadoury "Groupwise shape analysis of the hippocampus using spectral matching", Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 90340W (21 March 2014); https://doi.org/10.1117/12.2043615

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