Share Email Print
cover

Proceedings Paper

Enhancement of optic cup detection through an improved vessel kink detection framework
Author(s): Damon W. K. Wong; Jiang Liu; Ngan Meng Tan; Zhuo Zhang; Shijian Lu; Joo Hwee Lim; Huiqi Li; Tien Yin Wong
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 9 March 2010
PDF: 8 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 762439 (9 March 2010); doi: 10.1117/12.844126
Show Author Affiliations
Damon W. K. Wong, A*STAR Institute for Infocomm Research (Singapore)
Jiang Liu, A*STAR Institute for Infocomm Research (Singapore)
Ngan Meng Tan, A*STAR Institute for Infocomm Research (Singapore)
Zhuo Zhang, A*STAR Institute for Infocomm Research (Singapore)
Shijian Lu, A*STAR Institute for Infocomm Research (Singapore)
Joo Hwee Lim, A*STAR Institute for Infocomm Research (Singapore)
Huiqi Li, A*STAR Institute for Infocomm Research (Singapore)
Tien Yin Wong, National Univ. of Singapore (Singapore)
Singapore Eye Research Institute (Singapore)


Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

© SPIE. Terms of Use
Back to Top