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In vivo confocal microscopic corneal images in health and disease with an emphasis on extracting features and visual signatures for corneal diseases: a review study
Alzubaidi, R. Sharif, Mhd Saeed Qahwaji, Rami S.R. Ipson, Stanley S. Brahma, A.
Alzubaidi, R.
Sharif, Mhd Saeed
Qahwaji, Rami S.R.
Ipson, Stanley S.
Brahma, A.
Publication Date
2016-01-01
End of Embargo
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© The Authors. Published by the BMJ Publishing Group Limited.
This article has been accepted for publication in the British Journal of Ophthalmology following
peer review. The definitive copyedited, typeset version [Alzubaidi R, Sharif MS, Qahwaji R et al
(2016) In vivo confocal microscopic corneal images in health and disease with an emphasis on
extracting features and visual signatures for corneal diseases: a review study. British Journal of
Ophthalmology. 100(1): 41-55.] is available online at: http://dx.doi.org/10.1136/bjophthalmol-
2015-306934
Peer-Reviewed
Yes
Open Access status
Accepted for publication
2015-10-15
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Abstract
There is an evolution in the demands of modern ophthalmology from descriptive findings to
assessment of cellular level changes by using in vivo confocal microscopy. Confocal microscopy,
by producing grey-scale images, enables a microstructural insight into the in vivo cornea in both
health and disease, including epithelial changes, stromal degenerative or dystrophic diseases,
endothelial pathologies, and corneal deposits and infections. Ophthalmologists use acquired
confocal corneal images to identify health and disease states and then to diagnose which type of
disease is affecting the cornea. This paper presents the main features of the healthy confocal corneal
layers, and reviews the most common corneal diseases. It identifies the visual signature of each
disease in the affected layer and extracts the main features of this disease in terms of intensity,
certain regular shapes with both their size and diffusion, and some specific region of interest. These
features will lead towards the development of a complete automatic corneal diagnostic system
which predicts abnormalities in the confocal corneal data sets.
Version
Accepted Manuscript
Citation
Alzubaidi R, Sharif MS, Qahwaji R et al (2016) In vivo confocal microscopic corneal
images in health and disease with an emphasis on extracting features and visual signatures for
corneal diseases: a review study. British Journal of Ophthalmology. 100(1): 41-55.
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Article