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Automation of the tear film break-up time test

Published: 26 October 2011 Publication History

Abstract

The Break-Up Time test (BUT) evaluates the quality and stability of the tear film. It is used for the diagnosis of the dry eye syndrome, a widespread disease in the developed world. This paper describes an automatic methodology to evaluate the BUT test. This methodology locates the different measurement areas from a video of the tear film, extracts the region of interest and performs the BUT test in each measurement area. We have tested our methodology on a dataset composed of 18 videos annotated by 4 different experts. The difference between the automatic measurement and the value provided by the experts is in the same range as between the experts themselves.

References

[1]
J. Canny. A computational approach to edge detection. IEEE PAMI, pages 679--698, 1986.
[2]
P. Cho and B. Brown. Review of the tear break-up time and a closer look at the tear break-up time of hong kong chinese. Optom Vis Sci, 70:30--8, 1993.
[3]
P. Cho et al. Reliability of the tear break-up time thechnique of assessing tear stability and the locations of thear break-up in hong kong chinese. Optom Vis Sci, 69:879--85, 1992.
[4]
C. Fenga, P. Aragona, A. Cacciola, R. Spinela, C. D. Nola, F. Ferreri, and L. Rania. Melbonian gland dysfunction and ocular discomform in video display terminal workers. Eye, 22:91--95, 2008.
[5]
C. Garćia-Resuá, M. Lira, and E. Yebra-Pimentel. Evaluación superficial en jóvenes universitarios. Rev. Esp. Contact, 12:37--41, 2005.
[6]
J. Guillon. Non-invasive tearscope plus routine for contact lens fitting. Contact Lens & Anterior Eye, 2:S31--S40, 1998.
[7]
F. Holly and M. Lemp. Tear film physiology and dry eyes. Surv. Ophthalmol, 22:69--87, 1977.
[8]
S. Khanal. Dry eye diagnosis. Invest Opthalmol Vis Sci., 49:1907--14, 2008.
[9]
M. J. H. Lee and M. C. W. Kee. The significance of tear film break-up time in the diagnosis of dry eye syndrome. Kor J. Opthalmol, 21:69--71, 1988.
[10]
M. Lemp. Advances in understanding and managing dry eye disease. Am. J. Ophthalmol., 46:350--356, 2008.
[11]
G. Lowther. Dryness, tears and contact lens wear. Usa: reed elsevier, 1977.
[12]
T. Yedidya, R. Hartley, and J. Guillon. Automatic detection of pre-ocular tear film break-up sequence in dry eyes. DICTA, pages 442--448, 2008.
[13]
T. Yedidya, R. Hartley, J. Guillon, and Y. Kanagasingam. Automatic dry eye detection. MICCAI, 10:792--9, 2007.

Cited By

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  • (2024)Automated tear film break-up time measurement for dry eye diagnosis using deep learningScientific Reports10.1038/s41598-024-62636-514:1Online publication date: 22-May-2024
  • (2022)Automation of dry eye disease quantitative assessment: A reviewClinical & Experimental Ophthalmology10.1111/ceo.1411950:6(653-666)Online publication date: 27-Jun-2022
  • (2022)Tear film breakup time-based dry eye disease detection using convolutional neural networkNeural Computing and Applications10.1007/s00521-022-07652-036:1(143-161)Online publication date: 5-Aug-2022
  • Show More Cited By

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cover image ACM Other conferences
ISABEL '11: Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
October 2011
949 pages
ISBN:9781450309134
DOI:10.1145/2093698
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • Universitat Pompeu Fabra
  • IEEE
  • Technical University of Catalonia Spain: Technical University of Catalonia (UPC), Spain
  • River Publishers: River Publishers
  • CTTC: Technological Center for Telecommunications of Catalonia
  • CTIF: Kyranova Ltd, Center for TeleInFrastruktur

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 October 2011

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Author Tags

  1. BUT test
  2. dry eye syndrome
  3. image processing
  4. tear film
  5. video analysis

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  • Research-article

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ISABEL '11
Sponsor:
  • Technical University of Catalonia Spain
  • River Publishers
  • CTTC
  • CTIF

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Cited By

View all
  • (2024)Automated tear film break-up time measurement for dry eye diagnosis using deep learningScientific Reports10.1038/s41598-024-62636-514:1Online publication date: 22-May-2024
  • (2022)Automation of dry eye disease quantitative assessment: A reviewClinical & Experimental Ophthalmology10.1111/ceo.1411950:6(653-666)Online publication date: 27-Jun-2022
  • (2022)Tear film breakup time-based dry eye disease detection using convolutional neural networkNeural Computing and Applications10.1007/s00521-022-07652-036:1(143-161)Online publication date: 5-Aug-2022
  • (2021)An Overview of Dry Eye Analysis Algorithms for Tear Film Break-Up Time Detection2021 IEEE Symposium on Industrial Electronics & Applications (ISIEA)10.1109/ISIEA51897.2021.9510004(1-6)Online publication date: 10-Jul-2021
  • (2020)A Comprehensive Survey on Image Modality based Computerized Dry Eye Disease Detection TechniquesAdvances in Science, Technology and Engineering Systems Journal10.25046/aj0502935:2(748-756)Online publication date: 2020
  • (2017)Machine Learning Applied to Optometry DataAdvances in Biomedical Informatics10.1007/978-3-319-67513-8_7(123-160)Online publication date: 20-Oct-2017
  • (2014)Automatization of Dry Eye Syndrome TestsImage Analysis and Modeling in Ophthalmology10.1201/b16510-17(293-320)Online publication date: 22-Jan-2014
  • (2014)Analysis of parameters for the automatic computation of the tear film break-up time test based on CCLRU standardsComputer Methods and Programs in Biomedicine10.1016/j.cmpb.2013.12.003113:3(715-724)Online publication date: 1-Mar-2014
  • (2013)Computational Approach for Measuring the Tear Film Break-Up Time in an Unsupervised MannerAdvanced Techniques for Knowledge Engineering and Innovative Applications10.1007/978-3-642-42017-7_18(254-267)Online publication date: 2013

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