Modelling morphological variability of the hippocampus using manifold learning and large deformations - Inria - Institut national de recherche en sciences et technologies du numérique
Conference Papers Year : 2012

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

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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Imaging
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Dates and versions

hal-00816100 , version 1 (19-04-2013)

Identifiers

  • HAL Id : hal-00816100 , version 1

Cite

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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