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
in 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.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Image Processing, Computer-Assisted
/
Brain
/
Magnetic Resonance Imaging
Limits:
Adult
/
Aged
/
Aged80
/
Humans
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Middle aged
/
Newborn
Language:
En
Journal:
Brain Struct Funct
Journal subject:
CEREBRO
Year:
2018
Document type:
Article
Affiliation country:
France