A novel method for retinal vessel segmentation and diameter measurement using high speed video

Rezaeian, M; Butlin, M; Golzan, SM; Graham, SL; Avolio, AP

A novel method for retinal vessel segmentation and diameter measurement using high speed video

Rezaeian, M Butlin, M Golzan, SM

Graham, SL Avolio, AP

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 2781 - 2784
Issue Date:: 2019-07-01

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Field	Value	Language
dc.contributor.author	Rezaeian, M	en_US
dc.contributor.author	Butlin, M	en_US
dc.contributor.author	Golzan, SM https://orcid.org/0000-0002-4479-3917	en_US
dc.contributor.author	Graham, SL	en_US
dc.contributor.author	Avolio, AP	en_US
dc.date.accessioned	2020-04-15T23:01:59Z
dc.date.available	2020-04-15T23:01:59Z
dc.date.issued	2019-07-01	en_US
dc.identifier.citation	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, 2019, pp. 2781 - 2784	en_US
dc.identifier.isbn	9781538613115	en_US
dc.identifier.issn	1557-170X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/140009
dc.description.abstract	© 2019 IEEE. Studying dynamic characteristics of retinal vessels, as opposed to static measures, may provide additional insight into pathophysiological changes associated with local and systemic abnormalities such as glaucoma and hypertension. Various approaches have been developed to derive static biomarkers from retinal still images, but not many for dynamic analysis of video sequences. This study presents a novel method for the assessment of time-dependent diameter changes in high-speed videos (125 fps) from the rat retina. The proposed method is composed of a vessel segmentation and a diameter measurement module. The specificity and sensitivity of the segmentation method over 25 images were 95.1% and 97.3% respectively. The mean and standard deviation of the diameter measurement errors were -0.147±0.41 pixels over 100 measurements.	en_US
dc.relation.ispartof	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS	en_US
dc.relation.isbasedon	10.1109/EMBC.2019.8856879	en_US
dc.title	A novel method for retinal vessel segmentation and diameter measurement using high speed video	en_US
dc.type	Conference Proceeding
utslib.for	111302 Optical Technology	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Graduate School of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

© 2019 IEEE. Studying dynamic characteristics of retinal vessels, as opposed to static measures, may provide additional insight into pathophysiological changes associated with local and systemic abnormalities such as glaucoma and hypertension. Various approaches have been developed to derive static biomarkers from retinal still images, but not many for dynamic analysis of video sequences. This study presents a novel method for the assessment of time-dependent diameter changes in high-speed videos (125 fps) from the rat retina. The proposed method is composed of a vessel segmentation and a diameter measurement module. The specificity and sensitivity of the segmentation method over 25 images were 95.1% and 97.3% respectively. The mean and standard deviation of the diameter measurement errors were -0.147±0.41 pixels over 100 measurements.

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http://hdl.handle.net/10453/140009