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
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4649968