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

Lebenberg, J; Labit, M; Auzias, G; Mohlberg, H; Fischer, C; Rivière, D; Duchesnay, E; Kabdebon, C; Leroy, F; Labra, N; Poupon, F; Dickscheid, T; Hertz-Pannier, L; Poupon, C; Dehaene-Lambertz, G; Hüppi, Petra Susan; Amunts, K; Dubois, J; Mangin, J-F

doi:10.1007/s00429-018-1735-9

Advanced search

Browse by...

Deposit

Highlights

More informations

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 Leroy, F Labra, N Poupon, F Dickscheid, T Hertz-Pannier, L Poupon, C Dehaene-Lambertz, G Hüppi, Petra Susan Amunts, K Dubois, J Mangin, J-F show all authors [1 - 19]
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		Adult — Aged — 80 and over — Algorithms — Atlases as Topic — Brain/anatomy & histology — Databases — Factual — Humans — Image Processing — Computer-Assisted — Infant — Newborn — Premature — Magnetic Resonance Imaging/methods — Middle Aged — Software
Identifiers		DOI: 10.1007/s00429-018-1735-9 PMID: 30187191
Full text		Article (Published version) (4 MB) - Limited access to UNIGE
Structures		Faculté de médecine / Section de médecine clinique / Département de pédiatrie, gynécologie et obstétrique
Research group		L'imagerie cérébrale (184)
Projects		H2020: HBP SGA2 H2020: HBP SGA1 FP7: HBP
Citation (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