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Title

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

Authors
Lebenberg, J
Labit, M
Auzias, G
Mohlberg, H
Fischer, C
Rivière, D
Duchesnay, E
Kabdebon, C
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Published in Brain Structure and Function. 2018, vol. 223, no. 9, p. 4153-4168
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.
Keywords AdultAged80 and overAlgorithmsAtlases as TopicBrain/anatomy & histologyDatabasesFactualHumansImage ProcessingComputer-AssistedInfantNewbornPrematureMagnetic Resonance Imaging/methodsMiddle AgedSoftware
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PMID: 30187191
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Article (Published version) (4 MB) - document accessible for UNIGE members only Limited access to UNIGE
Structures
Research group L'imagerie cérébrale (184)
Projects H2020: HBP SGA2
H2020: HBP SGA1
FP7: HBP
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(ISO format)
LEBENBERG, J et al. A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem. In: Brain Structure and Function, 2018, vol. 223, n° 9, p. 4153-4168. doi: 10.1007/s00429-018-1735-9 https://archive-ouverte.unige.ch/unige:128067

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Deposited on : 2019-12-18

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