advertisement
Abstract #73064 Published in IGR 18-4
Segmentation and Quantification for Angle-Closure Glaucoma Assessment in Anterior Segment OCT
Fu H; Xu Y; Lin S; Zhang X; Wong DWK; Liu J; Frangi A; Baskaran M; Aung TIEEE Transactions on Medical Imaging 2017; 36: 1930-1938
Angle-closure glaucoma is a major cause of irreversible visual impairment and can be identified by measuring the anterior chamber angle (ACA) of the eye. The ACA can be viewed clearly through Anterior Segment Optical Coherence Tomography (AS-OCT), but the imaging characteristics and the shapes and locations of major ocular structures can vary significantly among different AS-OCT modalities, thus complicating image analysis. To address this problem, we propose a datadriven approach for automatic AS-OCT structure segmentation, measurement and screening. Our technique first estimates initial markers in the eye through label transfer from a hand-labeled exemplar dataset, whose images are collected over different patients and AS-OCT modalities. These initial markers are then refined by using a graph-based smoothing method that is guided by AS-OCT structural information. These markers facilitate segmentation of major clinical structures, which are used to recover standard clinical parameters. These parameters can be used not only to support clinicians in making anatomical assessments, but also to serve as features for detecting anterior angle closure in automatic glaucoma screening algorithms. Experiments on Visante AS-OCT and Cirrus HD-OCT datasets demonstrate the effectiveness of our approach.
Full article
Classification:
9.3.2 Chronic primary angle closure glaucoma (pupillary block) (Part of: 9 Clinical forms of glaucomas > 9.3 Primary angle closure glaucomas)
6.9.2.1 Anterior (Part of: 6 Clinical examination methods > 6.9 Computerized image analysis > 6.9.2 Optical coherence tomography)
