Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation

Stromer D, Moult EM, Chen S, Waheed NK, Maier A, Fujimoto JG (2020)

Publication Language: English

Publication Type: Journal article, Original article

Publication year: 2020

Journal

Biomedical Optics Express Optical Society of America

Book Volume: 11

Pages Range: 2830-2848

Journal Issue: 5

URI: https://www.osapublishing.org/boe/abstract.cfm?uri=boe-11-5-2830

DOI: 10.1364/BOE.392759

Open Access Link: https://www.osapublishing.org/boe/abstract.cfm?uri=boe-11-5-2830

Abstract

Optical coherence tomography (OCT) is a commonly used ophthalmic imaging modality. While OCT has traditionally been viewed cross-sectionally (i.e., as a sequence of B-scans), higher A-scan rates have increased interest in en face OCT visualization and analysis. The recent clinical introduction of OCT angiography (OCTA) has further spurred this interest, with chorioretinal OCTA being predominantly displayed via en face projections. Although en face visualization and quantitation are natural for many retinal features (e.g., drusen and vasculature), it requires segmentation. Because manual segmentation of volumetric OCT data is prohibitively laborious in many settings, there has been significant research and commercial interest in developing automatic segmentation algorithms. While these algorithms have achieved impressive results, the variability of image qualities and the variety of ocular pathologies cause even the most robust automatic segmentation algorithms to err. In this study, we develop a user-assisted segmentation approach, complementary to fully-automatic methods, wherein correction propagation is used to reduce the burden of manually correcting automatic segmentations. The approach is evaluated for Bruch’s membrane segmentation in eyes with advanced age-related macular degeneration.

Authors with CRIS profile

Daniel Stromer Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Department Informatik

Involved external institutions

Massachusetts Institute of Technology (MIT) US United States (USA) (US)

How to cite

APA:

Stromer, D., Moult, E.M., Chen, S., Waheed, N.K., Maier, A., & Fujimoto, J.G. (2020). Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation. Biomedical Optics Express, 11(5), 2830-2848. https://doi.org/10.1364/BOE.392759

MLA:

Stromer, Daniel, et al. "Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation." Biomedical Optics Express 11.5 (2020): 2830-2848.

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