MR-Eye atlas: a large-scale atlas of the eye based on T1-weighted MR imaging

MR-Eye atlas is a novel digital atlas contructed from MR images (T1-weighted MRI acquired at 1.5T ) of large-scale population of healthy volonteers. It gathers a male and female structural atlas constructed from 594 males and 616 females, with their corresponding probability maps of the different labels projected onto the average respective male and female 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).

The original dataset includes:

• sub_metadata.csv: dataset summary table
• template.nii.gz: atlas of the eye images (per sex)
• max_prob_map.npy and max_prob_map.nii.gz: maximum probability maps (per sex)
• prob_map.npy and prob_map.nii.gz: probability maps (per sex)

The new version adds:

• a combined eye atlas (image + labels)
• labels projected onto Colin27 and MNI152 T1w spaces (along with the images and their cropped versions)
• 2 more preview figures (labels onto the Colin27 and MNI152, and the scheme of the process)
• updates on release_notes.md and release_notes.txt (to track changes)
• modified readme.md and readme.txt

Detailed information on the original large-scale cohort, automated segmentation method and unbiased atlas construction is detailed in the README file.

MR-Eye atlas is presented and described in the following article: 

"Eye-Opening Advances: Automated 3D Segmentation, Key Biomarkers Extraction, and the First Large-Scale MRI Eye Atlas", J. Barranco, A. Luyken, H. Kebiri, P. Stachs, P. M. Gordaliza, O. Esteban, Y. Aleman, R. Sznitman, O. Stachs, S. Langner, B. Franceschiello, M. Bach Cuadra, https://doi.org/10.1101/2024.08.15.608051

Works using any of the provided ressources should cite the above-referred article.

Copyright (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.