Modelling morphological variability of the hippocampus using manifold learning and large deformations

Claire Cury 1, 2, * Joan Glaunès 3 Emilie Gerardin 1 Marie Chupin 1, 2 Olivier Colliot 1, 2
* Corresponding author
1 NEMESIS-CRICM - Equipe NEMESIS - Centre de Recherches de l'Institut du Cerveau et de la Moelle épinière
CRICM - Centre de Recherche de l'Institut du Cerveau et de la Moelle épinière
2 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 : The hippocampus is a structure of the temporal lobe of the brain which plays an important role in memory processes and in many neuropsychiatric disorders, including Alzheimer's disease, epilepsy and schizophrenia. Here, we present a method to infer the anatomical variability of the hippocampus, based on the LDDMM (Large Deformation Diffeomorphic Metric Mapping) framework and a manifold learning approach to capture the geometry of the population in the space of shapes.
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Conference papers
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https://hal.inria.fr/hal-00816100
Contributor : Claire Cury <>
Submitted on : Friday, April 19, 2013 - 5:17:31 PM
Last modification on : Friday, September 20, 2019 - 4:34:02 PM
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  • HAL Id : hal-00816100, version 1

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Claire Cury, Joan Glaunès, Emilie Gerardin, Marie Chupin, Olivier Colliot. Modelling morphological variability of the hippocampus using manifold learning and large deformations. OHBM 2012 - 18th Annual Meeting of the Organization for Human Brain Mapping, Jun 2012, Pekin, China. ⟨hal-00816100⟩

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