This work is part of the A-Eye project (2022-2025) supported by the Gelbert Foundation (Geneva, Switzerland).
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"scheme": "grid" }, { "identifier": "0000 0001 0423 4662", "scheme": "isni" } ], "name": "University Hospital of Lausanne" } ], "person_or_org": { "family_name": "Bach Cuadra", "given_name": "Meritxell", "identifiers": [ { "identifier": "0000-0003-2730-4285", "scheme": "orcid" } ], "name": "Bach Cuadra, Meritxell", "type": "personal" }, "role": { "id": "researcher", "title": { "de": "WissenschaftlerIn", "en": "Researcher" } } } ], "description": "MR-Eye atlas is a novel digital atlas constructed from MR images (T1-weighted MRI acquired at 1.5T) of a large-scale population of healthy volunteers. It gathers male, female, and combined male/female structural atlases constructed from 594 males and 616 females, with corresponding probability maps of the different labels projected onto the average templates. The atlases include 9 regions of interest: lens, globe, optic nerve, intraconal and extraconal fat, and four rectus muscles (lateral, medial, inferior, and superior).
\nThe initial Zenodo release, uploaded on 2024-08-15, included:
\nVersion 2, uploaded on 2025-07-15, added:
\nThe current update adds:
\nDetailed information on the original large-scale cohort, automated segmentation method, unbiased atlas construction, probability maps, and registration to common volumetric coordinate systems is provided in the README file.
\nMR-Eye atlas is presented and described in the following article:
\n\"A-eye: Automated 3D MRI Segmentation and Morphometric Feature Extraction for Eye and Orbit Atlas Construction\", J. Barranco, A. K. Luyken, H. Kebiri, P. Stachs, P. M. Gordaliza, O. Esteban, Y. Aleman, R. Sznitman, F. Streckenbach, O. Stachs, S. Langner, B. Franceschiello, M. Bach Cuadra, https://doi.org/10.1101/2024.08.15.608051
\nWorks using any of the provided resources should cite the above-referenced article.
\nCopyright (c) - All rights reserved. Medical Image Analysis Laboratory - Department of Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland & CIBM Center for Biomedical Imaging. 2024.
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