1. A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem.
- Author
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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, P., Amunts, K., Dubois, J., and Mangin, J.-F.
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PREMATURE infants , *MAGNETIC resonance imaging , *CEREBRAL sulci , *BRAIN imaging , *BRAIN mapping - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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