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Published in: Brain Structure and Function 9/2018

01-12-2018 | Original Article

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

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

Published in: Brain Structure and Function | Issue 9/2018

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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.
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Metadata
Title
A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem
Authors
J. Lebenberg
M. Labit
G. Auzias
H. Mohlberg
C. Fischer
D. Rivière
E. Duchesnay
C. Kabdebon
F. Leroy
N. Labra
F. Poupon
T. Dickscheid
L. Hertz-Pannier
C. Poupon
G. Dehaene-Lambertz
P. Hüppi
K. Amunts
J. Dubois
J.-F. Mangin
Publication date
01-12-2018
Publisher
Springer Berlin Heidelberg
Published in
Brain Structure and Function / Issue 9/2018
Print ISSN: 1863-2653
Electronic ISSN: 1863-2661
DOI
https://doi.org/10.1007/s00429-018-1735-9

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