Diagnosing dry eye with dynamic-area high-speed videokeratoscopy.

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dc.contributor.author Alonso-Caneiro, D en
dc.contributor.author Turuwhenua, Jason en
dc.contributor.author Iskander, DR en
dc.contributor.author Collins, MJ en
dc.coverage.spatial United States en
dc.date.accessioned 2012-03-12T22:14:24Z en
dc.date.issued 2011-07 en
dc.identifier.citation Journal of Biomedical Optics 16(7):076012 Jul 2011 en
dc.identifier.uri http://hdl.handle.net/2292/14052 en
dc.description.abstract Dry eye syndrome is one of the most commonly reported eye health conditions. Dynamic-area high-speed videokeratoscopy (DA-HSV) represents a promising alternative to the most invasive clinical methods for the assessment of the tear film surface quality (TFSQ), particularly as Placido-disk videokeratoscopy is both relatively inexpensive and widely used for corneal topography assessment. Hence, improving this technique to diagnose dry eye is of clinical significance and the aim of this work. First, a novel ray-tracing model is proposed that simulates the formation of a Placido image. This model shows the relationship between tear film topography changes and the obtained Placido image and serves as a benchmark for the assessment of indicators of the ring's regularity. Further, a novel block-feature TFSQ indicator is proposed for detecting dry eye from a series of DA-HSV measurements. The results of the new indicator evaluated on data from a retrospective clinical study, which contains 22 normal and 12 dry eyes, have shown a substantial improvement of the proposed technique to discriminate dry eye from normal tear film subjects. The best discrimination was obtained under suppressed blinking conditions. In conclusion, this work highlights the potential of the DA-HSV as a clinical tool to diagnose dry eye syndrome. en
dc.language eng en
dc.publisher Society of Photo-optical Instrumentation Engineers en
dc.relation.ispartofseries Journal of Biomedical Optics en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from: http://www.sherpa.ac.uk/romeo/issn/1083-3668/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.subject Blinking en
dc.subject Case-Control Studies en
dc.subject Corneal Topography en
dc.subject Diagnostic Techniques, Ophthalmological en
dc.subject Dry Eye Syndromes en
dc.subject Humans en
dc.subject Image Processing, Computer-Assisted en
dc.subject Models, Theoretical en
dc.subject ROC Curve en
dc.subject Retrospective Studies en
dc.subject Tears en
dc.title Diagnosing dry eye with dynamic-area high-speed videokeratoscopy. en
dc.type Journal Article en
dc.identifier.doi 10.1117/1.3598837 en
pubs.issue 7 en
pubs.begin-page 076012 en
pubs.volume 16 en
dc.rights.holder Copyright: Society of Photo-optical Instrumentation Engineers en
dc.identifier.pmid 21806273 en
dc.rights.accessrights http://purl.org/eprint/accessRights/RestrictedAccess en
pubs.subtype Article en
pubs.elements-id 217283 en
pubs.org-id Bioengineering Institute en
pubs.org-id ABI Associates en
dc.identifier.eissn 1560-2281 en
pubs.record-created-at-source-date 2012-03-13 en
pubs.dimensions-id 21806273 en

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