A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem.
Brain Struct Funct
; 223(9): 4153-4168, 2018 Dec.
Article
en En
| MEDLINE
| ID: mdl-30187191
ABSTRACT
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 (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 for a research program aiming at improving folding pattern matching for atlas inference in the context of the future HBP's portal.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Procesamiento de Imagen Asistido por Computador
/
Encéfalo
/
Imagen por Resonancia Magnética
Límite:
Adult
/
Aged
/
Aged80
/
Humans
/
Middle aged
/
Newborn
Idioma:
En
Revista:
Brain Struct Funct
Asunto de la revista:
CEREBRO
Año:
2018
Tipo del documento:
Article
País de afiliación:
Francia