DocumentCode
3075798
Title
Elliptical local vessel density: A fast and robust quality metric for retinal images
Author
Giancardo, L. ; Abràmoff, M.D. ; Chaum, E. ; Karnowski, T.P. ; Meriaudeau, F. ; Tobin, K.W., Jr.
Author_Institution
European VIBOT program, France
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
3534
Lastpage
3537
Abstract
A great effort of the research community is geared towards the creation of an automatic screening system able to promptly detect diabetic retinopathy with the use of fundus cameras. In addition, there are some documented approaches for automatically judging the image quality. We propose a new set of features independent of field of view or resolution to describe the morphology of the patient´s vessels. Our initial results suggest that these features can be used to estimate the image quality in a time one order of magnitude shorter than previous techniques.
Keywords
Blindness; Cameras; Cities and towns; Diabetes; Diseases; Image quality; Laboratories; Retina; Retinopathy; Robustness; Algorithms; Automatic Data Processing; Automation; Diabetic Retinopathy; Humans; Image Enhancement; Models, Statistical; Optic Disk; Reproducibility of Results; Retina; Retinal Diseases; Retinal Vessels; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Time Factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649968
Filename
4649968
Link To Document