Segmentation of anterior segment boundaries in swept source OCT images

• Autorzy: Garcia Marin Yoel , Skrok Marta , Siedlecki Damian , Vincent Stephen J. , Collins Michael J. , Alonso-Caneiro David

Identyfikatory

DOI

10.1016/j.bbe.2021.06.002

• Języki publikacji: EN

Abstrakty

EN

Quantification of the eye’s anterior segment morphology from optical coherence tomography (OCT) images is crucial for research and clinical decision-making, including the diagnosis and monitoring of many ocular diseases. Structural parameters, such as tissue thickness and area are the most common metrics used to quantify these medical images, and tissue segmentation is required before these metrics can be extracted. Currently, swept source OCTallows the capture of cross-sectional images that encompass the entire anterior segment with a high level of detail. However, the manual annotation of tissue boundaries is time-consuming. In this work, an algorithm based on graph-search theory combined with boundary-specific image transformation is applied for the segmentation of anterior segment OCT images. We demonstrate that the method can reliably segment 5 different tissue boundaries in healthy eyes with low boundary error (mean error below 1 pixel across all boundaries). The technique can be used to extract clinically relevant parameters such as central corneal and crystalline lens thickness as well as anterior chamber depth and area, with a high level of agreement with manual segmentation (normalized errors below 1.6%). The proposed method provides a tool that can support clinical and research OCT data analysis.

Słowa kluczowe

EN

optical coherence tomography; cornea; anterior chamber; image analysis

PL

optyczna tomografia koherentna; rogówka; komora przednia; analiza obrazu

• Wydawca: Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences ; Elsevier
• Czasopismo: Biocybernetics and Biomedical Engineering
• Rocznik: 2021
• Tom: Vol. 41, no. 3
• Strony: 903--915
• Opis fizyczny: Bibliogr. 51 poz., rys., tab., wykr.

Twórcy

autor

Garcia Marin Yoel

• Queensland University of Technology (QUT), Centre for Vision and Eye Research, School of Optometry and Vision Science, Contact Lens and Visual Optics Laboratory, Queensland, Australia

autor

Skrok Marta

• Wrocław University of Science and Technology, Department of Optics and Photonics, Visual Optics Group, Wrocław, Poland

autor

Siedlecki Damian

• Wrocław University of Science and Technology, Department of Optics and Photonics, Visual Optics Group, Wrocław, Poland

autor

Vincent Stephen J.

• Queensland University of Technology (QUT), Centre for Vision and Eye Research, School of Optometry and Vision Science, Contact Lens and Visual Optics Laboratory, Queensland, Australia

autor

Collins Michael J.

• Queensland University of Technology (QUT), Centre for Vision and Eye Research, School of Optometry and Vision Science, Contact Lens and Visual Optics Laboratory, Queensland, Australia

autor

Alonso-Caneiro David

• Queensland University of Technology (QUT), Centre for Vision and Eye Research, School of Optometry and Vision Science, Contact Lens and Visual Optics Laboratory, Queensland, Australia

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).