A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem - CNRS - Centre national de la recherche scientifique Accéder directement au contenu
Article Dans Une Revue Brain Structure and Function Année : 2018

A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem

G. Auzias

Résumé

Robust spatial alignment of post mortem data and in vivo MRI acquisitions from different ages, especially from the early developmental stages, into standard spaces is still a bottleneck hampering easy comparison with the mainstream neuroimaging results. In this paper, we test a landmark-based spatial normalization strategy as a framework for the seamless integration of any macroscopic dataset in the context of the Human Brain Project 30 (HBP). This strategy stems from an approach called DISCO embedding sulcal constraints in a registration framework used to initialize DARTEL, the widely used spatial normalization approach proposed in the SPM software. We show that this strategy is efficient with a heterogeneous dataset including challenging data as preterm newborns, infants, post mortem histological data and a synthetic atlas computed from averaging the ICBM database, as well as more commonly studied data acquired in vivo in adults. We then describe some perspectives 35 for a research program aiming at improving folding pattern matching for atlas inference in the context of the future HBP's portal.
Fichier principal
Vignette du fichier
LebenbergMangin_registrationDisco_BSAF18_HAL.pdf (2.94 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02005978 , version 1 (04-02-2019)

Identifiants

Citer

J. Lebenberg, M. Labit, G. Auzias, H. Mohlberg, C. Fischer, et al.. A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem. Brain Structure and Function, 2018, 223 (9), pp.4153-4168. ⟨10.1007/s00429-018-1735-9⟩. ⟨hal-02005978⟩
103 Consultations
224 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More