Model-based optic nerve head segmentation on retinal fundus images

Fengshou Yin; Jiang Liu; Sim Heng Ong; Ying Sun; Damon W.K. Wong; Ngan Meng Tan; Carol Cheung; Mani Baskaran; Tin Aung; Tien Yin Wong

doi:10.1109/IEMBS.2011.6090724

Model-based optic nerve head segmentation on retinal fundus images

Fengshou Yin^*
, Jiang Liu
, Sim Heng Ong
, Ying Sun
, Damon W.K. Wong
, Ngan Meng Tan
, Carol Cheung
, Mani Baskaran
, Tin Aung
, Tien Yin Wong

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

103 Citations (Scopus)

Abstract

The optic nerve head (optic disc) plays an important role in the diagnosis of retinal diseases. Automatic localization and segmentation of the optic disc is critical towards a good computer-aided diagnosis (CAD) system. In this paper, we propose a method that combines edge detection, the Circular Hough Transform and a statistical deformable model to detect the optic disc from retinal fundus images. The algorithm was evaluated against a data set of 325 digital color fundus images, which includes both normal images and images with various pathologies. The result shows that the average error in area overlap is 11.3% and the average absolute area error is 10.8%, which outperforms existing methods. The result indicates a high correlation with ground truth segmentation and thus demonstrates a good potential for this system to be integrated with other retinal CAD systems.

Original language	English
Title of host publication	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages	2626-2629
Number of pages	4
DOIs	https://doi.org/10.1109/IEMBS.2011.6090724
Publication status	Published - 2011
Externally published	Yes
Event	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States Duration: 30 Aug 2011 → 3 Sept 2011

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
ISSN (Print)	1557-170X

Conference

Conference	33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Country/Territory	United States
City	Boston, MA
Period	30/08/11 → 3/09/11

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

Signal Processing
Biomedical Engineering
Computer Vision and Pattern Recognition
Health Informatics

Access to Document

10.1109/IEMBS.2011.6090724

Cite this

Yin, F., Liu, J., Ong, S. H., Sun, Y., Wong, D. W. K., Tan, N. M., Cheung, C., Baskaran, M., Aung, T., & Wong, T. Y. (2011). Model-based optic nerve head segmentation on retinal fundus images. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 2626-2629). Article 6090724 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). https://doi.org/10.1109/IEMBS.2011.6090724

@inproceedings{8de60b6ef2864901b7082059309bf780,

title = "Model-based optic nerve head segmentation on retinal fundus images",

abstract = "The optic nerve head (optic disc) plays an important role in the diagnosis of retinal diseases. Automatic localization and segmentation of the optic disc is critical towards a good computer-aided diagnosis (CAD) system. In this paper, we propose a method that combines edge detection, the Circular Hough Transform and a statistical deformable model to detect the optic disc from retinal fundus images. The algorithm was evaluated against a data set of 325 digital color fundus images, which includes both normal images and images with various pathologies. The result shows that the average error in area overlap is 11.3\% and the average absolute area error is 10.8\%, which outperforms existing methods. The result indicates a high correlation with ground truth segmentation and thus demonstrates a good potential for this system to be integrated with other retinal CAD systems.",

author = "Fengshou Yin and Jiang Liu and Ong, \{Sim Heng\} and Ying Sun and Wong, \{Damon W.K.\} and Tan, \{Ngan Meng\} and Carol Cheung and Mani Baskaran and Tin Aung and Wong, \{Tien Yin\}",

note = "Copyright: Copyright 2012 Elsevier B.V., All rights reserved.; 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 ; Conference date: 30-08-2011 Through 03-09-2011",

year = "2011",

doi = "10.1109/IEMBS.2011.6090724",

language = "English",

isbn = "9781424441211",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

pages = "2626--2629",

booktitle = "33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011",

}

Yin, F, Liu, J, Ong, SH, Sun, Y, Wong, DWK, Tan, NM, Cheung, C, Baskaran, M, Aung, T & Wong, TY 2011, Model-based optic nerve head segmentation on retinal fundus images. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6090724, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, pp. 2626-2629, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 30/08/11. https://doi.org/10.1109/IEMBS.2011.6090724

Model-based optic nerve head segmentation on retinal fundus images. / Yin, Fengshou; Liu, Jiang; Ong, Sim Heng et al.
33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 2626-2629 6090724 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Model-based optic nerve head segmentation on retinal fundus images

AU - Yin, Fengshou

AU - Liu, Jiang

AU - Ong, Sim Heng

AU - Sun, Ying

AU - Wong, Damon W.K.

AU - Tan, Ngan Meng

AU - Cheung, Carol

AU - Baskaran, Mani

AU - Aung, Tin

AU - Wong, Tien Yin

PY - 2011

Y1 - 2011

N2 - The optic nerve head (optic disc) plays an important role in the diagnosis of retinal diseases. Automatic localization and segmentation of the optic disc is critical towards a good computer-aided diagnosis (CAD) system. In this paper, we propose a method that combines edge detection, the Circular Hough Transform and a statistical deformable model to detect the optic disc from retinal fundus images. The algorithm was evaluated against a data set of 325 digital color fundus images, which includes both normal images and images with various pathologies. The result shows that the average error in area overlap is 11.3% and the average absolute area error is 10.8%, which outperforms existing methods. The result indicates a high correlation with ground truth segmentation and thus demonstrates a good potential for this system to be integrated with other retinal CAD systems.

AB - The optic nerve head (optic disc) plays an important role in the diagnosis of retinal diseases. Automatic localization and segmentation of the optic disc is critical towards a good computer-aided diagnosis (CAD) system. In this paper, we propose a method that combines edge detection, the Circular Hough Transform and a statistical deformable model to detect the optic disc from retinal fundus images. The algorithm was evaluated against a data set of 325 digital color fundus images, which includes both normal images and images with various pathologies. The result shows that the average error in area overlap is 11.3% and the average absolute area error is 10.8%, which outperforms existing methods. The result indicates a high correlation with ground truth segmentation and thus demonstrates a good potential for this system to be integrated with other retinal CAD systems.

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DO - 10.1109/IEMBS.2011.6090724

M3 - Conference contribution

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T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

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ER -

Yin F, Liu J, Ong SH, Sun Y, Wong DWK, Tan NM et al. Model-based optic nerve head segmentation on retinal fundus images. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 2626-2629. 6090724. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/IEMBS.2011.6090724

Model-based optic nerve head segmentation on retinal fundus images

Abstract

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UN SDGs

ASJC Scopus subject areas

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