Enhancement of optic cup detection through an improved vessel kink detection framework

Damon W. K. Wong; Jiang Liu; Ngan Meng Tan; Zhuo Zhang; Shijian Lu; Joo Hwee Lim; Huiqi Li; Tien Yin Wong M.D.

doi:10.1117/12.844126

9 March 2010 Enhancement of optic cup detection through an improved vessel kink detection framework

Damon W. K. Wong, Jiang Liu, Ngan Meng Tan, Zhuo Zhang, Shijian Lu, Joo Hwee Lim, Huiqi Li, Tien Yin Wong M.D.

Proceedings Volume 7624, Medical Imaging 2010: Computer-Aided Diagnosis; 762439 (2010) https://doi.org/10.1117/12.844126
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

Glaucoma is a leading cause of blindness. The presence and extent of progression of glaucoma can be determined if the optic cup can be accurately segmented from retinal images. In this paper, we present a framework which improves the detection of the optic cup. First, a region of interest is obtained from the retinal fundus image, and a pallor-based preliminary cup contour estimate is determined. Patches are then extracted from the ROI along this contour. To improve the usability of the patches, adaptive methods are introduced to ensure the patches are within the optic disc and to minimize redundant information. The patches are then analyzed for vessels by an edge transform which generates pixel segments of likely vessel candidates. Wavelet, color and gradient information are used as input features for a SVM model to classify the candidates as vessel or non-vessel. Subsequently, a rigourous non-parametric method is adopted in which a bi-stage multi-resolution approach is used to probe and localize the location of kinks along the vessels. Finally, contenxtual information is used to fuse pallor and kink information to obtain an enhanced optic cup segmentation. Using a batch of 21 images obtained from the Singapore Eye Research Institute, the new method results in a 12.64% reduction in the average overlap error against a pallor only cup, indicating viable improvements in the segmentation and supporting the use of kinks for optic cup detection.

Citation Download Citation

Damon W. K. Wong, Jiang Liu, Ngan Meng Tan, Zhuo Zhang, Shijian Lu, Joo Hwee Lim, Huiqi Li, and Tien Yin Wong M.D. "Enhancement of optic cup detection through an improved vessel kink detection framework", Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762439 (9 March 2010); https://doi.org/10.1117/12.844126

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available