2018
DOI: 10.1007/s00429-018-1735-9
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A framework based on sulcal constraints to align preterm, infant and adult human brain images acquired in vivo and post mortem

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 con… Show more

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Cited by 27 publications
(22 citation statements)
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References 63 publications
(70 reference statements)
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“…37). Based on cortical and brain surfaces, it is possible to identify “sulcal objects” ( e : illustrations for a preterm newborn at 31w PMA, a full‐term newborn at 38w PMA, and infants at 1 and 4 months of age) which can be used to perform morphological measurements during development 48 or to register brains of different sizes 49 …”
Section: Anatomical and Relaxometry Mrimentioning
confidence: 99%
See 2 more Smart Citations
“…37). Based on cortical and brain surfaces, it is possible to identify “sulcal objects” ( e : illustrations for a preterm newborn at 31w PMA, a full‐term newborn at 38w PMA, and infants at 1 and 4 months of age) which can be used to perform morphological measurements during development 48 or to register brains of different sizes 49 …”
Section: Anatomical and Relaxometry Mrimentioning
confidence: 99%
“…Some use the segmented tissue maps instead of raw T 1 w and T 2 w images, and consider both these maps and cortical surfaces in the nonlinear registration process 53 . Similarly, a two‐step landmark‐based strategy allowed to registering the brains of preterm newborns, infants, and various databases of adults 49 . The DISCO method (diffeomorphic sulcal‐based cortical registration) can be used to embed sulcal constraints in a registration framework used to initialize the DARTEL step (diffeomorphic anatomical registration using exponentiated Lie algebra; implemented in SPM software [MatLab, MathWorks, Natick, MA]) (Fig.…”
Section: Anatomical and Relaxometry Mrimentioning
confidence: 99%
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“…In many contexts, such as brain development or crossspecies comparisons, the manual identification of sulcal landmarks is vital to constrain the registration algorithm when automatic labeling is inaccurate or not feasible (Van Essen and Dierker 2007;Lebenberg et al 2018;Eichert et al 2020b). Here, we show that manual identification of sulcal landmarks is also critical for registrations in the human brain, particularly in brain regions that are highly variable and have low gyrification.…”
Section: Relationship Between Variability In Structure and Functionmentioning
confidence: 81%
“…A registration based on individually drawn sulci showed an improved registration for the left ventral larynx representation, when compared to a registration based on sulcal depth and based on FreeSurfer labels, which rely on prominent and consistent landmarks, such as deep sulci. In many contexts, such as brain development or cross-species comparisons, the manual identification of sulcal landmarks is vital to constrain the registration algorithm when automatic labelling is inaccurate or infeasible (Van Essen and Dierker 2007;Lebenberg et al 2018;Eichert et al 2020b). Here we show, however, that manual identification of sulcal landmarks is also critical for registrations in the human brain, particularly in brain regions that are highly variable and have low gyrification.…”
Section: Relationship Between Variability In Structure and Functionmentioning
confidence: 99%