Morphometry of the human hippocampus from MRI and conventional MRI high field
type: Dataset
description: The hippocampus is a gray matter structure in the temporal lobe that plays a key role in memory processes and in many diseases (Alzheimer's disease, epilepsy, depression ...).The development of morphometric models is essential for the study of the functional anatomy and structure alterations associated with different pathologies. The objective of this thesis is to develop and validate methods for morphometry of the hippocampus in two contexts: the study of the external shape of the hippocampus from conventional MRI (1.5T or 3T) with millimeter resolution, and the study of its internal structure from 7T MRI with high spatial resolution. These two settings correspond to the two main parts of the thesis.In the first part, we propose a method for the automatic classification of patients from shape descriptors. This method is based on a spherical harmonic decomposition which is combined with a support vector machine classifier (SVM). The method is evaluated in the context of automatic classification of patients with Alzheimer's disease (AD) patients, mild cognitive impairment (MCI) patients and healthy elderly subjects. It is also compared to other approaches and a more comprehensive validation is available in a population of 509 subjects from the ADNI database. Finally, we present another application of morphometry to study structural alterations associated with the syndrome of Gilles de la Tourette.The second part of the thesis is devoted to the morphometry of the internal structure of the hippocampus from MRI at 7 Tesla. Indeed, the internal structure of the hippocampus is rich and complex but inaccessible to conventional MRI. We first propose an atlas of the internal structure of the hippocampus from postmortem data acquired at 9.4T. Then, we propose to model the Ammon’s horn and the subiculum as a skeleton and a local measure thickness. To do this, we introduce a variational method using original Hilbert spaces reproducing kernels. The method is validated on the pos…
identifier: NNT: 2012PA112375
issued: 2026-05-09T22:36:22.992865
language: en
modified: 2026-05-09T22:36:22.992870
contact point: Organization
  fn: CCSD
keyword: alzheimer-disease
keyword: analyse-de-forme
keyword: anatomie-computationnelle
keyword: computational-anatomy
keyword: epilepsie
keyword: epilepsy
keyword: high-field-mri
keyword: hippocampe
keyword: hippocampus
keyword: imagerie-medicale
keyword: infoeu-reposemanticsdoctoralthesis
keyword: irm-a-tres-haut-champ
keyword: maladie-alzheimer
keyword: medical-imaging
keyword: physcondcm-genphysics-physicscondensed-matter-cond-matother-cond-matother
keyword: shape-analysis
keyword: theses
landing page: https://theses.hal.science/tel-00856589

Morphometry of the human hippocampus from MRI and conventional MRI high field
type: Distribution
format: HTML
issued: 2026-05-09T22:36:23.005191
modified: 2026-05-09T22:36:22.978641
access URL: https://theses.hal.science/tel-00856589

test_moissonnage_selune
type: Agent