Validation of a semi-automatic protocol for the assessment of the tear meniscus central area based on open-source software

Hugo Pena-Verdeal; Carlos Garcia-Resua; Eva Yebra-Pimentel; Maria J. Giraldez

doi:10.1117/12.2271783

22 August 2017 Validation of a semi-automatic protocol for the assessment of the tear meniscus central area based on open-source software

Hugo Pena-Verdeal, Carlos Garcia-Resua, Eva Yebra-Pimentel, Maria J. Giraldez

Author Affiliations +

Proceedings Volume 10453, Third International Conference on Applications of Optics and Photonics; 104530O (2017) https://doi.org/10.1117/12.2271783
Event: Third International Conference on Applications of Optics and Photonics, 2017, Faro, Portugal

Abstract

Purpose: Different lower tear meniscus parameters can be clinical assessed on dry eye diagnosis. The aim of this study was to propose and analyse the variability of a semi-automatic method for measuring lower tear meniscus central area (TMCA) by using open source software. Material and methods: On a group of 105 subjects, one video of the lower tear meniscus after fluorescein instillation was generated by a digital camera attached to a slit-lamp. A short light beam (3x5 mm) with moderate illumination in the central portion of the meniscus (6 o’clock) was used. Images were extracted from each video by a masked observer. By using an open source software based on Java (NIH ImageJ), a further observer measured in a masked and randomized order the TMCA in the short light beam illuminated area by two methods: (1) manual method, where TMCA images was “manually” measured; (2) semi-automatic method, where TMCA images were transformed in an 8-bit-binary image, then holes inside this shape were filled and on the isolated shape, the area size was obtained. Finally, both measurements, manual and semi-automatic, were compared. Results: Paired t-test showed no statistical difference between both techniques results (p = 0.102). Pearson correlation between techniques show a significant positive near to perfect correlation (r = 0.99; p < 0.001). Conclusions: This study showed a useful tool to objectively measure the frontal central area of the meniscus in photography by free open source software.

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Hugo Pena-Verdeal, Carlos Garcia-Resua, Eva Yebra-Pimentel, and Maria J. Giraldez "Validation of a semi-automatic protocol for the assessment of the tear meniscus central area based on open-source software", Proc. SPIE 10453, Third International Conference on Applications of Optics and Photonics, 104530O (22 August 2017); https://doi.org/10.1117/12.2271783

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KEYWORDS

Open source software

Image processing

Video

Digital cameras

Eye

Java

Photography

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