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  • Title: Automatic anterior chamber angle assessment for HD-OCT images.
    Author: Tian J, Marziliano P, Baskaran M, Wong HT, Aung T.
    Journal: IEEE Trans Biomed Eng; 2011 Nov; 58(11):3242-9. PubMed ID: 21880568.
    Abstract:
    Angle-closure glaucoma is a major blinding eye disease and could be detected by measuring the anterior chamber angle in the human eyes. High-definition OCT (Cirrus HD-OCT) is an emerging noninvasive, high-speed, and high-resolution imaging modality for the anterior segment of the eye. Here, we propose a novel algorithm which automatically detects a new landmark, Schwalbe's line, and measures the anterior chamber angle in the HD-OCT images. The distortion caused by refraction is corrected by dewarping the HD-OCT images, and three biometric measurements are defined to quantitatively assess the anterior chamber angle. The proposed algorithm was tested on 40 HD-OCT images of the eye and provided accurate measurements in about 1 second.
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