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- W2891801399 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." @default.
- W2891801399 created "2018-09-27" @default.
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- W2891801399 date "2018-09-05" @default.
- W2891801399 modified "2023-10-17" @default.
- W2891801399 title "A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem" @default.
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- W2891801399 doi "https://doi.org/10.1007/s00429-018-1735-9" @default.
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