MReye-Seg: development and validation of an automated MRI pipeline for standardised ocular and orbital morphometrics

MReye-Seg: development and validation of an automated MRI pipeline for standardised ocular and orbital morphometrics Full article

Journal

Eye
ISSN: 0950-222X , E-ISSN: 1476-5454

Output data

Year: 2025, Pages: 1-12 Pages count : 12 DOI: 10.1038/s41433-025-04044-1

Authors

Tang Ge ^1,2 , Ahmadi Seyed-Ahmad ³ , Jillings Steven ⁴ , Jeurissen Ben ^4,5 , Tomilovskaya Elena ⁶ , Nosikova Inna ⁶ , Ryabova Alexandra ⁶ , Pechenkova Ekaterina ⁷ , Petrovichev Victor ⁸ , Rukavishnikov Ilya ⁶ , Velten Theresa ¹ , Gripshi Marina ¹ , Van Ombergen Angelique ^9,10 , Wuyts Floris L. ⁴ , zu Eulenburg Peter ^1,2,3

Affiliations

1	Institute for Neuroradiology, University Hospital, LMU Munich, Munich, Germany
2	Graduate School of Systemic Neurosciences, LMU Munich, Munich, Germany
3	German Center for Vertigo and Balance Disorders, University Hospital, LMU Munich, Munich, Germany
4	Lab for Equilibrium Investigations and Aerospace, University of Antwerp, Antwerp, Belgium
5	Imec/Vision Lab, University of Antwerp, Antwerp, Belgium
6	SSC RF – Institute of Biomedical Problems, Russian Academy of Sciences, Moscow, Russia
7	Laboratory for Cognitive Research, HSE University, Moscow, Russia
8	Radiology Department, Federal Center of Treatment and Rehabilitation, Moscow, Russia
9	Department of Translational Neurosciences – ENT, University of Antwerp, Antwerp, Belgium
10	Directorate of Human and Robotic Exploration, European Space Agency (ESA), Noordwijk, Netherlands

Funding (1)

Ministry of Science and Higher Education of Russia

FMFR-2024-0033

INTRODUCTION: Robust and objective quantifcation of ophthalmic and retroorbital structures from standard neuroimaging is an accessible but still untapped resource for clinical assessment. Current approaches mostly rely on subjective manual measurements, introducing variability and limiting clinical integration. We developed and validated an automated ocular morphometrics pipeline enabling diagnostic precision through standardised orbital measurements. METHODS: The presented pipeline consists of: (1) supra-resolution orbital template generation from standard structural MRI, (2) expert-guided segmentation with anatomical landmark annotation, (3) registration-based propagation to individual scans, (4) ocular neuroimaging quality control, and (5) automated extraction of 38 bilateral volumetric and geometric parameters critical for comprehensive ophthalmic and ocular structural morphometry including entire optic nerve sheath volume. We also integrated posterior globe deformation mapping for structural analysis. RESULTS: High-resolution orbital space template generation and subsequent landmark-based segmentation succeeded for all tested T1- and T2-weighted datasets. Ocular morphometrics revealed a substantial and signifcant physiological asymmetry between the eyes with minimal-to-negligible inter-dataset variations for all orbital parameters and landmarks. The pipeline demonstrated excellent reproducibility with intraclass correlation coeffcients exceeding 0.8 for 30/38 metrics. We then established normative ranges from adult datasets to facilitate clinical and research interpretation. Our posterior globe deformation mapping enables sensitive morphological assessment. CONCLUSIONS: This pipeline (https://github.com/Eulenburg-LMU/MReye-Seg) enables objective, standardised and comprehensive quantifcation of ophthalmic morphometrics, including total optic nerve sheath volume and posterior globe deformations as potential surrogates for raised intracranial pressure. By minimising measurement variability and processing time, MReye-Seg supports eye researchers and ophthalmologists in achieving diagnostic precision for ocular and retroorbital conditions.

Tang G. , Ahmadi S-A. , Jillings S. , Jeurissen B. , Tomilovskaya E. , Nosikova I. , Ryabova A. , Pechenkova E. , Petrovichev V. , Rukavishnikov I. , Velten T. , Gripshi M. , Van Ombergen A. , Wuyts F.L. , zu Eulenburg P.
MReye-Seg: development and validation of an automated MRI pipeline for standardised ocular and orbital morphometrics
Eye. 2025. P.1-12. DOI: 10.1038/s41433-025-04044-1 OpenAlex

Submitted:	May 22, 2025
Accepted:	Sep 19, 2025
Published online:	Oct 14, 2025

OpenAlex:

W4415140965

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