Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease

Claire Cury 1 Joan Alexis Glaunès 2 Marie Chupin 1 Olivier Colliot 1
1 ARAMIS - Algorithms, models and methods for images and signals of the human brain
Inria Paris-Rocquencourt, UPMC - Université Pierre et Marie Curie - Paris 6, ICM - Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute
Abstract : This paper presents a new approach for template-based analysis of anatomical variability in populations,in the framework of Large Deformation Diffeomorphic Metric Mappings and mathematical currents. We propose a fast approach in which the template is computed using an diffeomorphic iterative centroid method. Statistical analysis is then performed on the initial momenta that define the deformations between the centroid and each individual subject. We applied the approach to study the variability of the hippocampus in 134 patients with Alzheimer’s disease (AD) and 160 elderly control subjects. We show that this approach can describe the main modes of variability of the two populations and can predict the performance to a memory test in AD patients.
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Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2015, pp.10
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https://hal.inria.fr/hal-01135304
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Dernière modification le : lundi 29 mai 2017 - 15:33:36
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Claire Cury, Joan Alexis Glaunès, Marie Chupin, Olivier Colliot. Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2015, pp.10. <hal-01135304>

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