Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali

D. W.K. Wong; J. Liu; J. H. Lim; X. Jia; F. Yin; H. Li; T. Y. Wong

doi:10.1109/iembs.2008.4649648

Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali

D. W.K. Wong
, J. Liu
, J. H. Lim
, X. Jia
, F. Yin
, H. Li
, T. Y. Wong

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

178 Citations (Scopus)

Abstract

Glaucoma is a leading cause of permanent blindness. However, disease progression can be limited if detected early. The optic cup-to-disc ratio (CDR) is one of the main clinical indicators of glaucoma, and is currently determined manually, limiting its potential in mass screening. In this paper, we propose an automatic CDR determination method using a variational level-set approach to segment the optic disc and cup from retinal fundus images. The method is a core component of ARGALI, a system for automated glaucoma risk assessment. Threshold analysis is used in preprocessing to estimate the initial contour. Due to the presence of retinal vasculature traversing the disc and cup boundaries which can cause inaccuracies in the detected contours, an ellipse-fitting post-processing step is also introduced. The method was tested on 104 images from the Singapore Malay Eye Study, and it was found the results produced a clinically acceptable variation of up to 0.2 CDR units from the manually graded samples, with potential use in mass screening.

Original language	English
Title of host publication	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Publisher	IEEE Computer Society
Pages	2266-2269
Number of pages	4
ISBN (Print)	9781424418152
DOIs	https://doi.org/10.1109/iembs.2008.4649648
Publication status	Published - 2008
Externally published	Yes
Event	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada Duration: 20 Aug 2008 → 25 Aug 2008

Publication series

Name	Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Conference

Conference	30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/Territory	Canada
City	Vancouver, BC
Period	20/08/08 → 25/08/08

UN SDGs

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

SDG 3 Good Health and Well-being

Free Keywords

Automated level-set segmentation
Medical image processing
Optic cup-to-disc ratio

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Signal Processing
Biomedical Engineering
Health Informatics

Access to Document

10.1109/iembs.2008.4649648

Cite this

Wong, D. W. K., Liu, J., Lim, J. H., Jia, X., Yin, F., Li, H., & Wong, T. Y. (2008). Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 (pp. 2266-2269). Article 4649648 (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"). IEEE Computer Society. https://doi.org/10.1109/iembs.2008.4649648

Wong, D. W.K. ; Liu, J. ; Lim, J. H. et al. / Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali. Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. IEEE Computer Society, 2008. pp. 2266-2269 (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology").

@inproceedings{c49dc375cc134518816d25e0037e4385,

title = "Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali",

abstract = "Glaucoma is a leading cause of permanent blindness. However, disease progression can be limited if detected early. The optic cup-to-disc ratio (CDR) is one of the main clinical indicators of glaucoma, and is currently determined manually, limiting its potential in mass screening. In this paper, we propose an automatic CDR determination method using a variational level-set approach to segment the optic disc and cup from retinal fundus images. The method is a core component of ARGALI, a system for automated glaucoma risk assessment. Threshold analysis is used in preprocessing to estimate the initial contour. Due to the presence of retinal vasculature traversing the disc and cup boundaries which can cause inaccuracies in the detected contours, an ellipse-fitting post-processing step is also introduced. The method was tested on 104 images from the Singapore Malay Eye Study, and it was found the results produced a clinically acceptable variation of up to 0.2 CDR units from the manually graded samples, with potential use in mass screening.",

keywords = "Automated level-set segmentation, Medical image processing, Optic cup-to-disc ratio",

author = "Wong, \{D. W.K.\} and J. Liu and Lim, \{J. H.\} and X. Jia and F. Yin and H. Li and Wong, \{T. Y.\}",

note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 ; Conference date: 20-08-2008 Through 25-08-2008",

year = "2008",

doi = "10.1109/iembs.2008.4649648",

language = "English",

isbn = "9781424418152",

series = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - {"}Personalized Healthcare through Technology{"}",

publisher = "IEEE Computer Society",

pages = "2266--2269",

booktitle = "Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08",

address = "United States",

}

Wong, DWK, Liu, J, Lim, JH, Jia, X, Yin, F, Li, H & Wong, TY 2008, Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali. in Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08., 4649648, Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology", IEEE Computer Society, pp. 2266-2269, 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vancouver, BC, Canada, 20/08/08. https://doi.org/10.1109/iembs.2008.4649648

Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali. / Wong, D. W.K.; Liu, J.; Lim, J. H. et al.
Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. IEEE Computer Society, 2008. p. 2266-2269 4649648 (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology").

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

TY - GEN

T1 - Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali

AU - Wong, D. W.K.

AU - Liu, J.

AU - Lim, J. H.

AU - Jia, X.

AU - Yin, F.

AU - Li, H.

AU - Wong, T. Y.

PY - 2008

Y1 - 2008

N2 - Glaucoma is a leading cause of permanent blindness. However, disease progression can be limited if detected early. The optic cup-to-disc ratio (CDR) is one of the main clinical indicators of glaucoma, and is currently determined manually, limiting its potential in mass screening. In this paper, we propose an automatic CDR determination method using a variational level-set approach to segment the optic disc and cup from retinal fundus images. The method is a core component of ARGALI, a system for automated glaucoma risk assessment. Threshold analysis is used in preprocessing to estimate the initial contour. Due to the presence of retinal vasculature traversing the disc and cup boundaries which can cause inaccuracies in the detected contours, an ellipse-fitting post-processing step is also introduced. The method was tested on 104 images from the Singapore Malay Eye Study, and it was found the results produced a clinically acceptable variation of up to 0.2 CDR units from the manually graded samples, with potential use in mass screening.

AB - Glaucoma is a leading cause of permanent blindness. However, disease progression can be limited if detected early. The optic cup-to-disc ratio (CDR) is one of the main clinical indicators of glaucoma, and is currently determined manually, limiting its potential in mass screening. In this paper, we propose an automatic CDR determination method using a variational level-set approach to segment the optic disc and cup from retinal fundus images. The method is a core component of ARGALI, a system for automated glaucoma risk assessment. Threshold analysis is used in preprocessing to estimate the initial contour. Due to the presence of retinal vasculature traversing the disc and cup boundaries which can cause inaccuracies in the detected contours, an ellipse-fitting post-processing step is also introduced. The method was tested on 104 images from the Singapore Malay Eye Study, and it was found the results produced a clinically acceptable variation of up to 0.2 CDR units from the manually graded samples, with potential use in mass screening.

KW - Automated level-set segmentation

KW - Medical image processing

KW - Optic cup-to-disc ratio

UR - https://www.scopus.com/pages/publications/61849089473

U2 - 10.1109/iembs.2008.4649648

DO - 10.1109/iembs.2008.4649648

M3 - Conference contribution

C2 - 19163151

AN - SCOPUS:61849089473

SN - 9781424418152

T3 - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

SP - 2266

EP - 2269

BT - Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08

PB - IEEE Computer Society

T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08

Y2 - 20 August 2008 through 25 August 2008

ER -

Wong DWK, Liu J, Lim JH, Jia X, Yin F, Li H et al. Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali. In Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08. IEEE Computer Society. 2008. p. 2266-2269. 4649648. (Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"). doi: 10.1109/iembs.2008.4649648

Level-set based automatic cup-to-disc ratio determination using retinal fundus images in argali

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

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