There is a newer version of the record available.

Published July 15, 2025 | Version 2.0

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

  • 1. ROR icon Centre d'Imagerie BioMedicale
  • 2. ROR icon Centre Hospitalier Universitaire Vaudois
  • 3. ROR icon University of Lausanne
  • 4. ROR icon HES-SO Valais-Wallis
  • 5. The Sense Innovation and Research Center
  • 6. ROR icon Universitätsmedizin Rostock
  • 7. ROR icon Karlsruhe Institute of Technology
  • 8. Department of Ophthalmology, Rostock University Medical Center
  • 9. ROR icon University of Rostock

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).

The initial Zenodo release, uploaded on 2024-08-15, included:

  • sub_metadata.csv: dataset summary table
  • male/0_template.nii.gz and female/0_template.nii.gz: male and female eye atlas images
  • male/1_max_prob_map.npy, male/1_max_prob_map.nii.gz, female/1_max_prob_map.npy, and female/1_max_prob_map.nii.gz: maximum probability maps
  • male/2_prob_map.npy, male/2_prob_map.nii.gz, female/2_prob_map.npy, and female/2_prob_map.nii.gz: probability maps

Version 2, uploaded on 2025-07-15, added:

  • combined/0_template.nii.gz: combined male/female eye atlas image
  • combined/1_max_prob_map.npy and combined/1_max_prob_map.nii.gz: maximum probability map for the combined atlas
  • combined/2_prob_map.npy and combined/2_prob_map.nii.gz: probability map for the combined atlas
  • labels projected onto Colin27 and MNI152 T1w spaces, along with the images and their cropped versions
  • additional preview figures showing labels overlaid onto Colin27 and MNI152 images, and a schematic diagram of the processing workflow
  • updated README and release notes files

The current update adds:

  • combined/3_manual_seg.nii.gz: manual segmentation for the combined eye atlas
  • combined/3_manual_seg.itksnap: ITK-SNAP file supporting inspection and editing of the manual segmentation
  • updated README and release notes files describing the new manual segmentation files and updated archive structure

Detailed 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.

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

"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

Works using any of the provided resources should cite the above-referenced 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.

Notes (English)

This work is part of the A-Eye project (2022-2025) supported by the Gelbert Foundation (Geneva, Switzerland).

Files

A_eye_atlases_male_female.png

Files (42.6 MB)

Name Size Download all
md5:eea40037b70611669211f67aa47dde09
1.9 MB Preview Download
md5:ff306245b18ecf3492e3bd34a5a84d2c
5.0 MB Preview Download
md5:04f948a1d871e7b7e2b653e429ce07bf
268.7 kB Preview Download
md5:88f8908be7d09b0f829c20ae4e67cfe2
13.9 kB Preview Download
md5:034c3085d63dc548e53110b920019449
13.6 kB Preview Download
md5:a812f31e3c0f40c58a0a7a22f22973c8
35.4 MB Preview Download
md5:2ab724713fdaf49e4523c4503bfd068d
18.7 kB Preview Download
md5:8328aaf85594e20ae1f9ecdadbb74c4b
718 Bytes Preview Download
md5:be0e20a96925158e04370b2650177247
672 Bytes Preview Download

Additional details

Related works

Is part of
Preprint: 10.1101/2024.08.15.608051 (DOI)