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

 
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid0000-0002-3488-9819
cris.virtualsource.department87938102-08cf-40ae-aa44-a30b0dff9070
cris.virtualsource.orcid87938102-08cf-40ae-aa44-a30b0dff9070
dc.contributor.authorTang, Ge
dc.contributor.authorAhmadi, Seyed-Ahmad
dc.contributor.authorJillings, Steven
dc.contributor.authorJeurissen, Ben
dc.contributor.authorTomilovskaya, Elena
dc.contributor.authorNosikova, Inna
dc.contributor.authorRyabova, Alexandra
dc.contributor.authorPechenkova, Ekaterina
dc.contributor.authorPetrovichev, Viktor
dc.contributor.authorRukavishnikov, Ilya
dc.contributor.authorVelten, Theresa
dc.contributor.authorGripshi, Marina
dc.contributor.authorVan Ombergen, Angelique
dc.contributor.authorWuyts, Floris
dc.contributor.authorzu Eulenburg, Peter
dc.date.accessioned2026-01-26T15:11:51Z
dc.date.available2026-01-26T15:11:51Z
dc.date.createdwos2025-10-18
dc.date.issued2025
dc.description.abstractIntroduction Robust and objective quantification 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 significant 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 coefficients 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 quantification 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.
dc.description.wosFundingTextThis work was supported by the Belgian Science Policy Prodex, European Space Agency (ESA) (ISLRA 2009-1062 to F.W.), the programme of fundamental research of IBMP RAS (FMFR-2024-0033) and the Research Foundation Flanders (FWO Vlaanderen to A.V.O.). This work was also supported by the German Space Centre (DLR) on behalf of the Federal Ministry of Economics and Technology/Energy (50WB2027 to P.z.E.). Open Access funding enabled and organized by Projekt DEAL.
dc.identifier.doi10.1038/s41433-025-04044-1
dc.identifier.issn0950-222X
dc.identifier.pmidMEDLINE:41087679
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/58741
dc.language.isoeng
dc.provenance.editstepusergreet.vanhoof@imec.be
dc.publisherSPRINGERNATURE
dc.source.beginpage3294
dc.source.endpage3305
dc.source.issue18
dc.source.journalEYE
dc.source.numberofpages12
dc.source.volume39
dc.subject.keywordsHUMAN BRAIN
dc.subject.keywordsEYE
dc.subject.keywordsALGORITHMS
dc.subject.keywordsSHAPE
dc.subject.keywordsAGE
dc.title

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

dc.typeJournal article
dspace.entity.typePublication
imec.internal.crawledAt2025-10-22
imec.internal.sourcecrawler
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