On the Automation of the Tear Film Non-invasive Break-up Test

Author

Carpente, A. ; Ramos, L. ; Barreira, N. ; Penedo, M.G. ; Pena-Verdeal, H. ; Giraldez, M.J.

Author_Institution

Dept. of Comput. Sci., Univ. of A Coruna, A Coruna, Spain

fYear

2014

fDate

27-29 May 2014

Firstpage

185

Lastpage

188

Abstract

Dry eye syndrome (DES) is a common disorder of the tear film, affecting a significant percentage of the population. The Non Invasive Break-Up Time (NIBUT) is a clinical test used for the diagnosis of DES. In this work, we propose a methodology for the semi-automatic computation of the NIBUT test. We tested our methodology on a dataset composed of 15 videos manually annotated and high success rates were obtained. The promising results of this approach mean a step forward on the development of computer aided tools for DES assessment.

Keywords

medical disorders; medical image processing; patient diagnosis; video signal processing; DES assessment; DES diagnosis; NIBUT video processing; clinical test; computer aided tools; dry eye syndrome; noninvasive break-up time; tear film disorder; tear film noninvasive break-up test automation; Area measurement; Image edge detection; Lenses; Stability analysis; Time measurement; Vectors; Videos; Dry Eye Syndrome; NIBUT test; Tear film; image processing; video analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on

Conference_Location

New York, NY

Type

conf

DOI

10.1109/CBMS.2014.54

Filename

6881873