In this paper we propose a method for constructing a spatiotemporal cortical surface atlas of neonatal brains aged between 38 and 42 weeks of gestation at the time of scan. The method is based on a spherical registration approach: multimodal surface matching (MSM) registration, where cortical folding patterns were used to drive alignment. Cortical surfaces from 44 subjects were projected onto spheres and grouped into 5 weeks, with all surfaces within each group co-registered using pairwise MSM registration in order to avoid bias in the atlas towards any of the subjects. Finally, warps were projected to the anatomical surfaces to allow averaging of white matter surfaces, and folding metrics, in the template space. Our approach improves the s...
In neuroimaging, cortical surface atlases play a fundamental role for spatial normalization, analysi...
AbstractDetailed morphometric analysis of the neonatal brain is required to characterise brain devel...
In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical sensitiv...
We propose a method for constructing a spatio-temporal cortical surface atlas of neonatal brains age...
AbstractIn this study, we construct a spatio-temporal surface atlas of the developing cerebral corte...
In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical sensitiv...
Longitudinal studies measuring changes in cortical morphology over time are best facilitated by parc...
In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical sensitiv...
We present a method based on deformable meshes for the reconstruction of the cortical surfaces of th...
Surface-based cortical registration methods that are driven by geometrical features, such as folding...
We present an approach for nonrigid registration of consecutive neonatal cortical surfaces from MR i...
Surface-based cortical registration methods that are driven by geometrical features, such as folding...
International audienceDeformable registration of cortical surfaces facilitates longitudinal and inte...
Deformable registration of cortical surfaces facilitates longitudinal and intergroup comparisons of ...
The Developing Human Connectome Project (dHCP) seeks to create the first 4-dimensional connectome of...
In neuroimaging, cortical surface atlases play a fundamental role for spatial normalization, analysi...
AbstractDetailed morphometric analysis of the neonatal brain is required to characterise brain devel...
In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical sensitiv...
We propose a method for constructing a spatio-temporal cortical surface atlas of neonatal brains age...
AbstractIn this study, we construct a spatio-temporal surface atlas of the developing cerebral corte...
In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical sensitiv...
Longitudinal studies measuring changes in cortical morphology over time are best facilitated by parc...
In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical sensitiv...
We present a method based on deformable meshes for the reconstruction of the cortical surfaces of th...
Surface-based cortical registration methods that are driven by geometrical features, such as folding...
We present an approach for nonrigid registration of consecutive neonatal cortical surfaces from MR i...
Surface-based cortical registration methods that are driven by geometrical features, such as folding...
International audienceDeformable registration of cortical surfaces facilitates longitudinal and inte...
Deformable registration of cortical surfaces facilitates longitudinal and intergroup comparisons of ...
The Developing Human Connectome Project (dHCP) seeks to create the first 4-dimensional connectome of...
In neuroimaging, cortical surface atlases play a fundamental role for spatial normalization, analysi...
AbstractDetailed morphometric analysis of the neonatal brain is required to characterise brain devel...
In brain imaging, accurate alignment of cortical surfaces is fundamental to the statistical sensitiv...