Automatic anterior chamber angle assessment for HD-OCT images.
Where this comes from
- Record sourced from PubMed, PMID 21880568.
- Also identified by DOI 10.1109/TBME.2011.2166397.
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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.
Medical subject headings
- Algorithms
- Anterior Chamber
- Image Processing, Computer-Assisted
- Tomography, Optical Coherence