Estimating Corneal Surface Topography in Videokeratoscopy in the Presence of Strong Signal Interference

David Alonso-Caneiro; D. Robert Iskander; Michael J. Collins

doi:10.1109/TBME.2008.923766

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Estimating Corneal Surface Topography in Videokeratoscopy in the Presence of Strong Signal Interference

Journal article

Peer reviewed

Estimating Corneal Surface Topography in Videokeratoscopy in the Presence of Strong Signal Interference

David Alonso-Caneiro, D. Robert Iskander and Michael J. Collins

IEEE Transactions on Biomedical Engineering, Vol.55(10), pp.2381-2387

2008

DOI: https://doi.org/10.1109/TBME.2008.923766

PMID: 18838363

Abstract

cornea

tear film

keratometry

statistical image processing

Videokeratoscopy techniques rely on a number of factors in order to achieve accurate estimates of corneal surface topography. Good tear film quality, minimal reflections from eyelashes, and minimal eye movements are essential for corneal topography estimates to be reliable. However, in practice, these ideal conditions may not always be fulfilled, especially in cases of subjects diagnosed with dry eye syndrome, having narrow palpebral apertures, long eyelashes, or nystagmus (uncontrolled eye movements). Such nonoptimal conditions of image acquisition result in poorer estimates of corneal topography. The aim of this paper was to devise a technique that would provide more accurate estimation of corneal topography in such situations and particularly when the source of signal interference is strong. This was achieved by developing a set of algorithms that extract the interference from the acquired raw videokeratoscopic image and filter the topography according to the interference location. The experiments carried out with test surfaces and real corneas showed that this new technique leads to a significant improvement in the topography estimator. Additionally, it is an interference indication procedure that, in the future, could be used for the purpose of tear film quality estimation.

Details

Title: Estimating Corneal Surface Topography in Videokeratoscopy in the Presence of Strong Signal Interference
Authors: David Alonso-Caneiro (Corresponding Author) - Queensland University of Technology
D. Robert Iskander (Author) - Queensland University of Technology
Michael J. Collins (Author) - Queensland University of Technology
Publication details: IEEE Transactions on Biomedical Engineering, Vol.55(10), pp.2381-2387
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TBME.2008.923766
ISSN: 1558-2531
PMID: 18838363
Organisation Unit: School of Science, Technology and Engineering
Language: English
Record Identifier: 99973594402621
Output Type: Journal article