Abstract
Optical coherence tomography is a high resolution, rapid, and noninvasive diagnostic tool for angle closure glaucoma. In this paper, we present a new strategy for the classification of the angle closure glaucoma using morphological shape analysis of the iridocorneal angle. The angle structure configuration is quantified by the following six features: (1) mean of the continuous measurement of the angle opening distance; (2) area of the trapezoidal profile of the iridocorneal angle centered at Schwalbe's line; (3) mean of the iris curvature from the extracted iris image; (4) complex shape descriptor, fractal dimension, to quantify the complexity, or changes of iridocorneal angle; (5) ellipticity moment shape descriptor; and (6) triangularity moment shape descriptor. Then, the fuzzy k nearest neighbor (fkNN) classifier is utilized for classification of angle closure glaucoma. Two hundred and sixty-four swept source optical coherence tomography (SS-OCT) images from 148 patients were analyzed in this study. From the experimental results, the fkNN reveals the best classification accuracy (99.11 ± 0.76%) and AUC (0.98 ± 0.012) with the combination of fractal dimension and biometric parameters. It showed that the proposed approach has promising potential to become a computer aided diagnostic tool for angle closure glaucoma (ACG) disease.
Highlights
The detection of the angle closure glaucoma is important for preventing irreversible blindness
We present an automatic angle closure glaucoma detection system based on machine learning and image analysis for the estimation of quantitative parameters to classify swept source optical coherence tomography (SS-optical coherence tomography (OCT)) images into two classes: open angle and angle closure glaucoma
We proposed a novel automated angle classification system using scleral spur (SS)-OCT images
Summary
The detection of the angle closure glaucoma is important for preventing irreversible blindness. Since vision loss from glaucoma cannot be recovered, improved screening and detection methods for the angle closure glaucoma are essential to preserve vision and maintain a good quality of life. Glaucoma commonly progresses to blindness over many years, acute angle closure can result in permanent blindness in a matter of hours. Angle closure glaucoma is characterized by obstruction of aqueous fluid drainage through the trabecular meshwork from the eye’s anterior chamber. The width of the angle is one factor affecting the drainage of aqueous humor. A wide unobstructed iridocorneal angle allows sufficient drainage of aqueous humor, whereas a narrow angle may impede the drainage system and leave the patient susceptible to angle closure glaucoma
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