Evaluation of segmentation algorithms for extraction of RNFL in OCT images

Kipli, Kuryati, Kouzani, Abbas Z., Xiang, Yong and Joordens, Matthew 2011, Evaluation of segmentation algorithms for extraction of RNFL in OCT images, in ICIS 2011 : Proceedings of the IEEE International Conference on Intelligent Computing and Intelligent Systems, IEEE, Piscataway, N.J., pp. 447-451.

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Title Evaluation of segmentation algorithms for extraction of RNFL in OCT images
Author(s) Kipli, Kuryati
Kouzani, Abbas Z.
Xiang, Yong
Joordens, Matthew
Conference name IEEE Intelligent Computing and Intelligent Systems. Conference (2011 : Guangzhou, China)
Conference location Guangzhou, China
Conference dates 18-20 Nov. 2011
Title of proceedings ICIS 2011 : Proceedings of the IEEE International Conference on Intelligent Computing and Intelligent Systems
Editor(s) [Unknown]
Publication date 2011
Conference series IEEE Intelligent Computing and Intelligent Systems Conference
Start page 447
End page 451
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) segmentation
optical coherence tomography
retinal nerve fiber layer
glaucoma
Summary The thickness of the retinal nerve fiber layer (RFNL) has become a diagnose measure for glaucoma assessment. To measure this thickness, accurate segmentation of the RFNL in optical coherence tomography (OCT) images is essential. Identification of a suitable segmentation algorithm will facilitate the enhancement of the RNFL thickness measurement accuracy. This paper investigates the performance of six algorithms in the segmentation of RNFL in OCT images. The algorithms are: normalised cuts, region growing, k-means clustering, active contour, level sets segmentation: Piecewise Gaussian Method (PGM) and Kernelized Method (KM). The performance of the six algorithms are determined through a set of experiments on OCT retinal images. An experimental procedure is used to measure the performance of the tested algorithms. The measured segmentation precision-recall results of the six algorithms are compared and discussed.
Language eng
Field of Research 090302 Biomechanical Engineering
080106 Image Processing
Socio Economic Objective 970109 Expanding Knowledge in Engineering
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2011, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30051055

Document type: Conference Paper
Collection: School of Engineering
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