Automatic detection of pre-ocular tear film break-up sequence in dry eyes

Tamir Yedidya; Richard Hartley; Jean Pierre Guillon

doi:10.1109/DICTA.2008.70

Automatic detection of pre-ocular tear film break-up sequence in dry eyes

Tamir Yedidya^*, Richard Hartley, Jean Pierre Guillon

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

Abstract

Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We extend our method [13] for the automated detection of dryness signs to include the break up time(BUT), analysis of the degree of thinning of the tear film and detection of meniscus induced dryness, the last two have not been previously addressed. Our motivation is to help the clinician to automatically detect and analyze various signs related to dry eyes. The method has been tested on over 100 videos taken from 30 different patients. When compared to an analysis done by a specialized optometrist, our method is demonstrated to provide an accurate estimation for the BUT and the extent of the disease.

Original language	English
Title of host publication	Proceedings - Digital Image Computing
Subtitle of host publication	Techniques and Applications, DICTA 2008
Pages	442-448
Number of pages	7
DOIs	https://doi.org/10.1109/DICTA.2008.70
Publication status	Published - 2008
Event	Digital Image Computing: Techniques and Applications, DICTA 2008 - Canberra, ACT, Australia Duration: 1 Dec 2008 → 3 Dec 2008

Publication series

Name	Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008

Conference

Conference	Digital Image Computing: Techniques and Applications, DICTA 2008
Country/Territory	Australia
City	Canberra, ACT
Period	1/12/08 → 3/12/08

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10.1109/DICTA.2008.70

Cite this

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title = "Automatic detection of pre-ocular tear film break-up sequence in dry eyes",

abstract = "Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We extend our method [13] for the automated detection of dryness signs to include the break up time(BUT), analysis of the degree of thinning of the tear film and detection of meniscus induced dryness, the last two have not been previously addressed. Our motivation is to help the clinician to automatically detect and analyze various signs related to dry eyes. The method has been tested on over 100 videos taken from 30 different patients. When compared to an analysis done by a specialized optometrist, our method is demonstrated to provide an accurate estimation for the BUT and the extent of the disease.",

author = "Tamir Yedidya and Richard Hartley and Guillon, {Jean Pierre}",

year = "2008",

doi = "10.1109/DICTA.2008.70",

language = "English",

isbn = "9780769534565",

series = "Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008",

pages = "442--448",

booktitle = "Proceedings - Digital Image Computing",

note = "Digital Image Computing: Techniques and Applications, DICTA 2008 ; Conference date: 01-12-2008 Through 03-12-2008",

}

Yedidya, T, Hartley, R & Guillon, JP 2008, Automatic detection of pre-ocular tear film break-up sequence in dry eyes. in Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008., 4700055, Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008, pp. 442-448, Digital Image Computing: Techniques and Applications, DICTA 2008, Canberra, ACT, Australia, 1/12/08. https://doi.org/10.1109/DICTA.2008.70

Automatic detection of pre-ocular tear film break-up sequence in dry eyes. / Yedidya, Tamir; Hartley, Richard; Guillon, Jean Pierre.
Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008. 2008. p. 442-448 4700055 (Proceedings - Digital Image Computing: Techniques and Applications, DICTA 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yedidya, Tamir

AU - Hartley, Richard

AU - Guillon, Jean Pierre

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N2 - Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We extend our method [13] for the automated detection of dryness signs to include the break up time(BUT), analysis of the degree of thinning of the tear film and detection of meniscus induced dryness, the last two have not been previously addressed. Our motivation is to help the clinician to automatically detect and analyze various signs related to dry eyes. The method has been tested on over 100 videos taken from 30 different patients. When compared to an analysis done by a specialized optometrist, our method is demonstrated to provide an accurate estimation for the BUT and the extent of the disease.

AB - Dry Eye Syndrome is a common disease in the western world, with effects from uncomfortable itchiness to permanent damage to the ocular surface. Nevertheless, there is still no objective test that provides reliable results. We extend our method [13] for the automated detection of dryness signs to include the break up time(BUT), analysis of the degree of thinning of the tear film and detection of meniscus induced dryness, the last two have not been previously addressed. Our motivation is to help the clinician to automatically detect and analyze various signs related to dry eyes. The method has been tested on over 100 videos taken from 30 different patients. When compared to an analysis done by a specialized optometrist, our method is demonstrated to provide an accurate estimation for the BUT and the extent of the disease.

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Y2 - 1 December 2008 through 3 December 2008

ER -

Automatic detection of pre-ocular tear film break-up sequence in dry eyes

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