Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/86179
Title: Automatic assessment of tear film and tear meniscus parameters in healthy subjects using ultrahigh-resolution optical coherence tomography
Authors: Stegmann, Hannes
Aranha dos Santos, Valentin
Messner, Alina
Unterhuber, Angelika
Schmidl, Doreen
Garhöfer, Gerhard
Schmetterer, Leopold
Werkmeister, René Marcel
Keywords: Tear Film
Optical Coherence Tomography
Science::Medicine
Issue Date: 2019
Source: Stegmann, H., Aranha dos Santos, V., Messner, A., Unterhuber, A., Schmidl, D., Garhöfer, G., . . . Werkmeister, R. M. (2019). Automatic assessment of tear film and tear meniscus parameters in healthy subjects using ultrahigh-resolution optical coherence tomography. Biomedical Optics Express, 10(6), 2744-2756. doi:10.1364/BOE.10.002744
Series/Report no.: Biomedical Optics Express
Abstract: Many different parameters exist for the investigation of tear film dynamics. We present a new tear meniscus segmentation algorithm which automatically extracts tear meniscus area (TMA), height (TMH), depth (TMD) and radius (TMR) from UHR-OCT measurements and apply it to a data set including repeated measurements from ten healthy subjects. Mean values and standard deviations are 0.0174 ± 0.007 mm2, 0.272 ± 0.069 mm, 0.191 ± 0.049 mm and 0.309 ± 0.123 mm for TMA, TMH, TMD and TMR, respectively. A significant correlation was found between all respective tear meniscus parameter pairs (all p < 0.001, all Pearson’s r ≥ 0.657). Challenges, limitations and potential improvements related to the data acquisition and the algorithm itself are discussed. The automatic segmentation of tear meniscus measurements acquired with UHR-OCT might help in a clinical setting to further understand the tear film and related medical conditions like dry eye disease.
URI: https://hdl.handle.net/10356/86179
http://hdl.handle.net/10220/49857
DOI: 10.1364/BOE.10.002744
Rights: © 2019 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:LKCMedicine Journal Articles

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