Symmetric brain atlas template for newborns brain asymmetry studies

Noorizadeh, Negar; Kazemi, Kamran; Grebe, Reinhard; Helfroush, Mohammad Sadegh; Mahmoudzadeh, Mahdi; Golshaeyan, Narjes; Wallois, Fabrice

doi:10.1109/iraniancee.2013.6599703

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…Validation of spatial normalisation using this template instead of the adult template created at the Montreal Neurological Institute (MNI) on another seven brain scans showed that a neonatal template results in better co-registration. The same research group also provided a symmetric template built from all 14 term-born neonates for asymmetry studies of language development (Noorizadeh et al, 2013). Recently, a bimodal neonatal brain template consisting of an average magnetic resonance (MR) and computed tomography (CT) image was added (Ghadimi et al, 2017).…”

Section: Brain Atlas Constructionmentioning

confidence: 99%

Unbiased construction of a temporally consistent morphological atlas of neonatal brain development

Schuh¹,

A²,

et al. 2018

Preprint

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Premature birth increases the risk of developing neurocognitive and neurobehavioural disorders. The mechanisms of altered brain development causing these disorders are yet unknown. Studying the morphology and function of the brain during maturation provides us not only with a better understanding of normal development, but may help us to identify causes of abnormal development and their consequences. A particular difficulty is to distinguish abnormal patterns of neurodevelopment from normal variation. The Developing Human Connectome Project (dHCP) seeks to create a detailed four-dimensional (4D) connectome of early life. This connectome may provide insights into normal as well as abnormal patterns of brain development.As part of this project, more than a thousand healthy fetal and neonatal * Corresponding authorEmail address: andreas.schuh.84@gmail.com (Andreas Schuh)Preprint submitted to NeuroImage January 28, 2018peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was not . http://dx.doi.org/10.1101/251512 doi: bioRxiv preprint first posted online brains will be scanned in vivo. This requires computational methods which scale well to larger data sets. We propose a novel groupwise method for the construction of a spatio-temporal model of mean morphology from crosssectional brain scans at different gestational ages. This model scales linearly with the number of images and thus improves upon methods used to build existing public neonatal atlases, which derive correspondence between all pairs of images. By jointly estimating mean shape and longitudinal change, the atlas created with our method overcomes temporal inconsistencies, which are encountered when mean shape and intensity images are constructed separately for each time point. Using this approach, we have constructed a spatio-temporal atlas from 275 healthy neonates between 35 and 44 weeks post-menstrual age (PMA). The resulting atlas qualitatively preserves cortical details significantly better than publicly available atlases. This is moreover confirmed by a number of quantitative measures of the quality of the spatial normalisation and sharpness of the resulting template brain images.Keywords: dHCP, spatio-temporal, neonatal MRI, brain atlas 2 peer-reviewed)

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Section: Brain Atlas Constructionmentioning

confidence: 99%

Unbiased construction of a temporally consistent morphological atlas of neonatal brain development

Schuh¹,

A²,

et al. 2018

Preprint

View full text Add to dashboard Cite

show abstract

“…In recent years, a number of publications have focused on creating mappings of microstructural and anatomical properties of the developing brain using T 1 and T 2 -weighted imaging (Shi et al., 2014; Dittrich et al., 2014; Schuh et al., 2014, 2018; Habas et al., 2009; Kuklisova-Murgasova et al., 2011; Serag et al., 2012a, 2012b). Neonatal atlases of subjects aged 38 weeks or older using T 1 or T 2 -weighted images are reported in (Kazemi et al., 2007; Noorizadeh et al., 2013; Ghadimi et al., 2017; Alexander et al., 2017; Shi et al., 2011, 2014; Zhang et al., 2016a, 2016b; Li et al., 2015; Oishi et al., 2011; Gousias et al., 2012), and have also included co-registered CT images (Ghadimi et al., 2017), or FA and mean diffusivity maps (Oishi et al., 2011). Anatomical atlases including very preterm subjects have been published in (Kuklisova-Murgasova et al., 2011; Serag et al., 2012b; Schuh et al., 2014, 2018; Makropoulos et al., 2016).…”

Section: Introductionmentioning

confidence: 99%

A framework for multi-component analysis of diffusion MRI data over the neonatal period

et al. 2019

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We describe a framework for creating a time-resolved group average template of the developing brain using advanced multi-shell high angular resolution diffusion imaging data, for use in group voxel or fixel-wise analysis, atlas-building, and related applications. This relies on the recently proposed multi-shell multi-tissue constrained spherical deconvolution (MSMT-CSD) technique. We decompose the signal into one isotropic component and two anisotropic components, with response functions estimated from cerebrospinal fluid and white matter in the youngest and oldest participant groups, respectively. We build an orientationally-resolved template of those tissue components from data acquired from 113 babies between 33 and 44 weeks postmenstrual age, imaged as part of the Developing Human Connectome Project. These data were split into weekly groups, and registered to the corresponding group average templates using a previously-proposed non-linear diffeomorphic registration framework, designed to align orientation density functions (ODF). This framework was extended to allow the use of the multiple contrasts provided by the multi-tissue decomposition, and shown to provide superior alignment. Finally, the weekly templates were registered to the same common template to facilitate investigations into the evolution of the different components as a function of age. The resulting multi-tissue atlas provides insights into brain development and accompanying changes in microstructure, and forms the basis for future longitudinal investigations into healthy and pathological white matter maturation.

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Symmetric brain atlas template for newborns brain asymmetry studies

Cited by 2 publications

References 15 publications

Unbiased construction of a temporally consistent morphological atlas of neonatal brain development

Unbiased construction of a temporally consistent morphological atlas of neonatal brain development

A framework for multi-component analysis of diffusion MRI data over the neonatal period

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