DocumentCode :
2955707
Title :
Automatic blood vessel localization in small field of view eye images
Author :
Bansal, Mayank ; Kuthirummal, Sujit ; Eledath, Jayan ; Sawhney, Harpreet ; Stone, Richard
Author_Institution :
Sarnoff Corp., Princeton, NJ, USA
fYear :
2010
fDate :
Aug. 31 2010-Sept. 4 2010
Firstpage :
5644
Lastpage :
5648
Abstract :
Localizing blood vessels in eye images is a crucial step in the automated and objective diagnosis of eye diseases. Most previous research has focused on extracting the centerlines of vessels in large field of view images. However, for diagnosing diseases of the optic disk region, like glaucoma, small field of view images have to be analyzed. One needs to identify not only the centerlines, but also vessel widths, which vary widely in these images. We present an automatic technique for localizing vessels in small field of view images using multi-scale matched filters. We also estimate local vessel properties - width and orientation - along the length of each vessel. Furthermore, we explicitly account for highlights on thick vessels - central reflexes - which are ignored in many previous works. Qualitative and quantitative results demonstrate the efficacy of our method - e.g. vessel centers are localized with RMS and median errors of 2.11 and 1 pixels, respectively in 700×700 images.
Keywords :
blood vessels; diseases; eye; feature extraction; image segmentation; matched filters; medical image processing; RMS; automated diagnosis; automatic blood vessel localization; blood vessel centerlines; central reflexes; eye diseases; feature extraction; glaucoma; median errors; multiscale matched filters; objective diagnosis; optic disk region; small field of view eye images; Biomedical imaging; Blood vessels; Diseases; Image segmentation; Optical imaging; Pixel; Retina; Automation; Blood Vessels; Eye; Humans; Image Interpretation, Computer-Assisted; Optic Disk;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4123-5
Type :
conf
DOI :
10.1109/IEMBS.2010.5628046
Filename :
5628046
Link To Document :
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