Three-dimensional atlases and databases of the brain at different ages facilitate the description of neuroanatomy and the monitoring of cerebral growth and development. Brain segmentation is challenging in neonates and young children due to structural differences compared to adults.
This page web page contains anatomical atlases for neonates (20 brain atlases of term-born and preterm infants, of 50 regions each, together with their related MRIs) as described in:
- I. S. Gousias, A. D. Edwards, M. A. Rutherford, S. J. Counsell, J. V. Hajnal, D. Rueckert and A. Hammers: Magnetic resonance imaging of the newborn brain: Manual segmentation of labelled atlases in term-born and preterm infants. NeuroImage 62(3): 1499-1509, 2012 (Link to paper from publisher).
The use of the atlases for segmentation of neonatal MRIs is described in:
- I. S. Gousias, A. Hammers, S. J. Counsell, L. Srinivasan, M. A. Rutherford, R. A. Heckemann, J. V. Hajnal, D. Rueckert and A. D. Edwards. Magnetic resonance imaging of the newborn brain: automatic segmentation of brain images into 50 anatomical regions. PLoS One 8(4):e5999, 2013 (Link to paper from publisher).
Please read carefully the license terms before downloading the atlas.
FREE ACADEMIC END USER LICENCE AGREEMENT
Copyright Imperial College of Science Technology & Medicine (“Imperial and Ioannis S Gousias, together the “Copyright Holders”, 2004-2013.
Twenty brain atlases individual manually drawn by Ioannis S Gousias (the “ALBERTs”) based on MRI brain scans of 20 newborns (with 50 regions each), with those (anonymized) MRI brain scans, and a list of regions (together the “Materials”) [Release v[1.0] 2013]
All Rights Reserved Developed jointly by Ioannis S Gousias (1), A. David Edwards (1, 2), Mary A. Rutherford (1, 2), Serena J. Counsell1 (2), Jo V. Hajnal (1, 3), Daniel Rueckert (4), and Alexander Hammers (1, 5) (the “Authors”)
(1) MRC Clinical Sciences Centre and Faculty of Medicine, Imperial College London, London, UK
(2) Department of Perinatal Imaging and Health, King’s College London, London, UK
(3) Division of Imaging Sciences & Biomedical Engineering, King’s College London, UK
(4) Department of Computing, Imperial College London, UK
(5) Functional Neuroimaging, Fondation Neurodis, CERMEP, Hôpital Neurologique Pierre Wertheimer, Lyon, France
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