1. New algorithm for corneal densitometry assessment based on anterior segment optical coherence tomography.
- Author
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Wang XY, Zhang TQ, Rachwani AR, Blanco-Domínguez I, Rocha de Lossada C, Adán-Civiera AM, and Peraza-Nieves J
- Subjects
- Adult, Aged, Aged, 80 and over, Algorithms, Corneal Topography methods, Densitometry methods, Healthy Volunteers, Humans, Middle Aged, Young Adult, Cornea diagnostic imaging, Tomography, Optical Coherence
- Abstract
Purpose: To describe a new algorithm to measure corneal densitometry based on images obtained by swept source anterior segment ocular coherence tomography (SS-AS-OCT) and establish standard densitometry values in a group of normal eyes., Methods: A total of 111 healthy participants (195 eyes) were enrolled in this study. Using a MATLAB designed algorithm, the cornea was segmented into three layers: anterior, posterior and mid-stroma, and it was divided into two concentric areas, 0-2 and 2-4 mm, resulting in nine areas for the analysis. The mean corneal densitometry values were calculated and expressed as grayscale units (GSU)., Results: The mean age was 57 years (range 22-87), with 100 (51.3%) right eyes and 95 (48.7%) left eyes. The total corneal densitometry was 86.9 ± 12.1 GSU. The mid-stroma layer had the highest densitometry values, 87.4 ± 12.1 GSU, and the anterior layer had the lowest values, 81.9 ± 14.2 GSU. Densitometry differences between the anterior layer and the mid-stroma layer (P < 0.001), as well as the anterior layer and the posterior layer (P < 0.05) were statistically significant. The 0-2 mm concentric area had higher mean densitometry values, 97.8 ± 12.7 GSU, and the differences were significant compared to the 2-4 mm concentric area (P < 0.001). No correlation was found between the corneal densitometry values and gender or age., Conclusions: The new MATLAB segmentation algorithm for the analysis of corneal SS-AS-OCT images is capable to objectively assess corneal densitometry. We provide standard and normal data for better clinical and research approach., (© 2021. The Author(s), under exclusive licence to The Royal College of Ophthalmologists.)
- Published
- 2022
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