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Automated quantification of retinal arteriovenous nicking from colour fundus images

Publication ,  Conference
Nguyen, UTV; Bhuiyan, A; Park, LAF; Kawasaki, R; Wong, TY; Wang, JJ; Mitchell, P; Ramamohanarao, K
Published in: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
October 31, 2013

Retinal arteriovenous nicking (AV nicking) is the phenomenon where the venule is compressed or decreases in its caliber at both sides of an arteriovenous crossing. Recent research suggests that retinal AVN is associated with hypertension and cardiovascular diseases such as stroke. In this article, we propose a computer method for assessing the severity level of AV nicking of an artery-vein (AV) crossing in color retinal images. The vascular network is first extracted using a method based on multi-scale line detection. A trimming process is then performed to isolate the main vessels from unnecessary structures such as small branches or imaging artefact. Individual segments of each vessel are then identified and the vein is recognized through an artery-vein identification process. A vessel width measurement method is devised to measure the venular caliber along its two segments. The vessel width measurements of each venular segment is then analyzed and assessed separately and the final AVN index of a crossover is computed as the most severity of its two segments. The proposed technique was validated on 69 AV crossover points of varying AV nicking levels extracted from retinal images of the Singapore Malay Eye Study (SiMES). The results show that the computed AVN values are highly correlated with the manual grading with a Spearman correlation coefficient of 0.70. This has demonstrated the accuracy of the proposed method and the feasibility to develop a computer method for automatic AV nicking detection. The quantitative measurements provided by the system may help to establish a more reliable link between AV nicking and known systemic and eye diseases, which deserves further examination and exploration. © 2013 IEEE.

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Published In

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

DOI

ISSN

1557-170X

Publication Date

October 31, 2013

Start / End Page

5865 / 5868
 

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Nguyen, U. T. V., Bhuiyan, A., Park, L. A. F., Kawasaki, R., Wong, T. Y., Wang, J. J., … Ramamohanarao, K. (2013). Automated quantification of retinal arteriovenous nicking from colour fundus images. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 5865–5868). https://doi.org/10.1109/EMBC.2013.6610886
Nguyen, U. T. V., A. Bhuiyan, L. A. F. Park, R. Kawasaki, T. Y. Wong, J. J. Wang, P. Mitchell, and K. Ramamohanarao. “Automated quantification of retinal arteriovenous nicking from colour fundus images.” In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 5865–68, 2013. https://doi.org/10.1109/EMBC.2013.6610886.
Nguyen UTV, Bhuiyan A, Park LAF, Kawasaki R, Wong TY, Wang JJ, et al. Automated quantification of retinal arteriovenous nicking from colour fundus images. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013. p. 5865–8.
Nguyen, U. T. V., et al. “Automated quantification of retinal arteriovenous nicking from colour fundus images.” Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2013, pp. 5865–68. Scopus, doi:10.1109/EMBC.2013.6610886.
Nguyen UTV, Bhuiyan A, Park LAF, Kawasaki R, Wong TY, Wang JJ, Mitchell P, Ramamohanarao K. Automated quantification of retinal arteriovenous nicking from colour fundus images. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013. p. 5865–5868.

Published In

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

DOI

ISSN

1557-170X

Publication Date

October 31, 2013

Start / End Page

5865 / 5868