DocumentCode :
1787184
Title :
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
Link To Document :
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