title: Automatic anterior chamber angle assessment for HD-OCT images.
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.
authors: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. ti0001ng@ntu.edu.sg
authors: Jing
authors: J
authors: Tian
authors: Pina
authors: P
authors: Marziliano
authors: Mani
authors: M
authors: Baskaran
authors: Hong-Tym
authors: HT
authors: Wong
authors: Tin
authors: T
authors: Aung
mesh_terms: D000465:Algorithms; D000867:Anterior Chamber / Q000033:anatomy & histology*; D019573:Epithelium, Corneal; D015812:Glaucoma, Angle-Closure / Q000175:diagnosis; D006068:Gonioscopy; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D012029:Refraction, Ocular; D041623:Tomography, Optical Coherence / Q000379:methods*; D014463:Ultrasonography