Anterior Chamber Angle Shape Analysis and Classification of Glaucoma in SS-OCT Images

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. © 2014 soe ni ni et al.