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(15)

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Abstract #47564 Published in IGR 13-4

Automatic anterior chamber angle assessment for HD-OCT images

Tian J; Marziliano P; Baskaran M; Wong H-T; Aung T
IEEE Transactions on Bio-Medical Engineering 2011; 58: 3242-3249

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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, Schwalbes 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. (copyright) 2011 IEEE.

J. Tian. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore. Email: ti0001ng@ntu.edu.sg

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Classification:

6.9.2.1 Anterior (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.2 Optical coherence tomography)
2.4 Anterior chamber angle (Part of: 2 Anatomical structures in glaucoma)

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