Skip to Main content Skip to Navigation

Développement et validation d’outils pour l’analyse morphologique du cerveau de Macaque

Yaël Balbastre 1
1 LMN - Laboratoire des Maladies Neurodégénératives - UMR 9199
MIRCEN - Service MIRCEN : DRF/JACOB, CNRS - Centre National de la Recherche Scientifique : UMR 9199
Abstract : Understanding the mechanisms involved in neurodegenerative or developmental diseases and designing new therapeutic approaches are based on the use of relevant experimental models as well as appropriate imaging techniques. In this context, MRI is a prominent tool for in vivo investigation as it allows for longitudinal follow-up. Successful translation from bench to bedside calls for well-characterized models as well as transferable biomarkers. Yet, despite the existence of both clinical and preclinical scanners, analysis tools are hardly translational. In this work, inspired by standards developed in Humans, we've built and validated tools for the automated segmentation of neuroanatomical structures in the Macaque. This method is based on the registration of a digital probabilistic atlas followed by the fitting of a statistical model consisting of a gaussian mixture and Markov random fields. It was first validated in healthy adults and then applied to the study of neonatal brain development. Furthermore, to pave the way for comparisons with gold standard post mortem biomarkers, we developed a pipeline for the automated 3D reconstruction of histological volumes that we applied to the characterization of MRI contrast in a stem-cell graft following an excitotoxic lesion.
Complete list of metadatas
Contributor : Abes Star :  Contact
Submitted on : Friday, November 17, 2017 - 1:02:57 AM
Last modification on : Wednesday, October 14, 2020 - 4:10:36 AM


Version validated by the jury (STAR)


  • HAL Id : tel-01636797, version 1



Yaël Balbastre. Développement et validation d’outils pour l’analyse morphologique du cerveau de Macaque. Traitement du signal et de l'image [eess.SP]. Université Paris Saclay (COmUE), 2016. Français. ⟨NNT : 2016SACLS333⟩. ⟨tel-01636797⟩



Record views


Files downloads