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Assessment of tear film surface quality using dynamic-area high-speed videokeratoscopy

Alonso-Caneiro, David, Iskander, Robert, & Collins, Michael J. (2009) Assessment of tear film surface quality using dynamic-area high-speed videokeratoscopy. IEEE Transactions on Biomedical Engineering, 56(5), pp. 1473-1481.

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Abstract

A new method for noninvasive assessment of tear film surface quality (TFSQ) is proposed. The method is based on high-speed videokeratoscopy in which the corneal area for the analysis is dynamically estimated in a manner that removes videokeratoscopy interference from the shadows of eyelashes but not that related to the poor quality of the precorneal tear film that is of interest. The separation between the two types of seemingly similar videokeratoscopy interference is achieved by region-based classification in which the overall noise is first separated from the useful signal (unaltered videokeratoscopy pattern), followed by a dedicated interference classification algorithm that distinguishes between the two considered interferences. The proposed technique provides a much wider corneal area for the analysis of TFSQ than the previously reported techniques. A preliminary study with the proposed technique, carried out for a range of anterior eye conditions, showed an effective behavior in terms of noise to signal separation, interference classification, as well as consistent TFSQ results. Subsequently, the method proved to be able to not only discriminate between the bare eye and the lens on eye conditions but also to have the potential to discriminate between the two types of contact lenses.

Impact and interest:

12 citations in Scopus
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8 citations in Web of Science®

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ID Code: 30339
Item Type: Journal Article
Additional URLs:
Keywords: Cornea, high-speed Videokeratoscopy (HSV), Image processing, tear film
DOI: 10.1109/TBME.2008.2011993
ISSN: 0018-9294
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Optometry & Vision Science
Copyright Owner: © 2009 IEEE
Copyright Statement: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Deposited On: 11 Feb 2010 07:36
Last Modified: 01 Mar 2012 00:13

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