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
* Auteur correspondant
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.
Type de document :
Communication dans un congrès
OHBM 2012 - 18th Annual Meeting of the Organization for Human Brain Mapping, Jun 2012, Pekin, China
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https://hal.inria.fr/hal-00816100
Contributeur : Claire Cury <>
Soumis le : vendredi 19 avril 2013 - 17:17:31
Dernière modification le : mardi 10 octobre 2017 - 11:22:03
Document(s) archivé(s) le : samedi 20 juillet 2013 - 04:04:03

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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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