HumanBrainAtlas: an in vivo MRI dataset for detailed segmentations.

Autor: Schira MM; School of Psychology, University of Wollongong, Wollongong, NSW, 2522, Australia. mark.schira@gmail.com.; Neuroscience Research Australia, Randwick, NSW, 2031, Australia. mark.schira@gmail.com., Isherwood ZJ; School of Psychology, University of Wollongong, Wollongong, NSW, 2522, Australia.; Department of Psychology, University of Nevada, Reno, NV, 89557, USA., Kassem MS; Neuroscience Research Australia, Randwick, NSW, 2031, Australia.; School of Psychology, The University of New South Wales, Sydney, NSW, 2052, Australia., Barth M; Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD, 4067, Australia.; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, 7067, Australia., Shaw TB; Centre for Advanced Imaging, The University of Queensland, St Lucia, QLD, 4067, Australia.; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, 7067, Australia., Roberts MM; School of Psychology, University of Wollongong, Wollongong, NSW, 2522, Australia.; School of Psychology, The University of New South Wales, Sydney, NSW, 2052, Australia., Paxinos G; Neuroscience Research Australia, Randwick, NSW, 2031, Australia.; School of Psychology, The University of New South Wales, Sydney, NSW, 2052, Australia.
Jazyk: angličtina
Zdroj: Brain structure & function [Brain Struct Funct] 2023 Nov; Vol. 228 (8), pp. 1849-1863. Date of Electronic Publication: 2023 Jun 05.
DOI: 10.1007/s00429-023-02653-8
Abstrakt: We introduce HumanBrainAtlas, an initiative to construct a highly detailed, open-access atlas of the living human brain that combines high-resolution in vivo MR imaging and detailed segmentations previously possible only in histological preparations. Here, we present and evaluate the first step of this initiative: a comprehensive dataset of two healthy male volunteers reconstructed to a 0.25 mm isotropic resolution for T1w, T2w, and DWI contrasts. Multiple high-resolution acquisitions were collected for each contrast and each participant, followed by averaging using symmetric group-wise normalisation (Advanced Normalisation Tools). The resulting image quality permits structural parcellations rivalling histology-based atlases, while maintaining the advantages of in vivo MRI. For example, components of the thalamus, hypothalamus, and hippocampus are often impossible to identify using standard MRI protocols-can be identified within the present data. Our data are virtually distortion free, fully 3D, and compatible with the existing in vivo Neuroimaging analysis tools. The dataset is suitable for teaching and is publicly available via our website (hba.neura.edu.au), which also provides data processing scripts. Instead of focusing on coordinates in an averaged brain space, our approach focuses on providing an example segmentation at great detail in the high-quality individual brain. This serves as an illustration on what features contrasts and relations can be used to interpret MRI datasets, in research, clinical, and education settings.
(© 2023. The Author(s).)
Databáze: MEDLINE
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