Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor

Shang, Qiaoling1,2,3; Zhao, Yitian2,3; Chen, Zhili1; Hao, Huaying2,3; Li, Fei3,4; Zhang, Xiulan3,4; Liu, Jiang2,3,5

10.1109/EMBC.2019.8857336

2019

1557-170X

978-1-5386-1312-2

41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019

4745-4749

23-27 July 2019

Berlin, Germany

345 E 47TH ST, NEW YORK, NY 10017 USA

Institute of Electrical and Electronics Engineers Inc.

Morphological changes in the iris are one of the major causes of angle-closure glaucoma, and an anteriorly-bowed iris may be further associated with greater risk of disease progression from primary angle-closure suspect (PACS) to chronic primary angle-closure glaucoma (CPCAG). In consequence, the automated detection of abnormalities in the iris region is of great importance in the management of glaucoma. In this paper, we present a new method for the extraction of the iris region by using a local phase tensor-based curvilinear structure enhancement method, and apply it to anterior segment optical coherence tomography (AS-OCT) imagery in the presence of occludable iridocorneal angle. The proposed method is evaluated across a dataset of 200 anterior chamber angle (ACA) images, and the experimental results show that the proposed method outperforms existing state-of-the-art method in applicability, effectiveness, and accuracy.
© 2019 IEEE.

Iris Image segmentation Cornea Diseases Picture archiving and communication systems Transforms

其他

英语

EI ; CPCI-S

Natural Science Foundation of Ningbo[2018A610055]

Engineering

Engineering, Biomedical ; Engineering, Electrical & Electronic

WOS:000557295305041

20200308035739

Ophthalmology ; Image segmentation ; Computer vision ; Image enhancement ; Optical tomography

Medicine and Pharmacology:461.6 ; Computer Applications:723.5 ; Vision:741.2 ; Optical Devices and Systems:741.3 ; Algebra:921.1

EV Compendex

1.School of Information and Control Engineering, Shenyang Jianzhu University, Shenyang, China
2.Ningbo Institute of Industrial Technology, Chinese Academy of Sciences, Ningbo, China
3.Glaucoma Artificial Intelligence Diagnosis, Imaging Analysis Joint Research Lab, Guangzhou, Ningbo, China
4.Zhongshan Ophthalmic Center, State Key Laboratory of Ophthalmology, Sun Yat-sen University, Guangzhou, China
5.Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

Shang, Qiaoling,Zhao, Yitian,Chen, Zhili,et al. Automated Iris Segmentation from Anterior Segment OCT Images with Occludable Angles via Local Phase Tensor[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2019:4745-4749.