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Journal of Biomedical Optics • Open Access

Diagnosing dry eye with dynamic-area high-speed videokeratoscopy
Author(s): David Alonso-Caneiro; Michael J. Collins; Jason Turuwhenua; D. Robert Iskander

Paper 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.

Paper Details

Date Published: 1 July 2011
PDF: 9 pages
J. Biomed. Opt. 16(7) 076012 doi: 10.1117/1.3598837
Published in: Journal of Biomedical Optics Volume 16, Issue 7
Show Author Affiliations
David Alonso-Caneiro, Queensland Univ. of Technology (Australia)
Michael J. Collins, Queensland Univ. of Technology (Australia)
Jason Turuwhenua, The Univ. of Auckland (New Zealand)
D. Robert Iskander, Institute of Biomedical Engineering and Instrumentation (Poland)

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