NDLI: Automatic retinal vessel profiling using multi-step regression method

Content Provider	IEEE Xplore Digital Library
Author	Aliahmad, B. Kumar, D.K. Janghorban, S. Azemin, M.Z.C. Hao Hao Kawasaki, R.
Copyright Year	2011
Description	Author affiliation: RMIT University, Victoria 3001, Australia (Aliahmad, B.; Kumar, D.K.; Janghorban, S.; Hao Hao) \|\| Centre for Eye Research Australia, University of Melbourne, Royal Victorian Eye and Ear Hospital, Victoria 3002, Australia (Kawasaki, R.) \|\| RMIT University, Victoria 3001, Australia, on leave from Biomedical Science Department, Kulliyyah of Science, International Islamic University, Malaysia, Kuantan 25200, Pahang, Malaysia (Azemin, M.Z.C.)
Abstract	Caliber of the retinal blood vessel is widely used for risk assessment of cardiovascular diseases. Accurate and automatic caliber measurement requires a precise model to be made for the vessel profile. In this paper, we present a new approach for retinal vessel profiling in which the background noise, uneven illuminations and specular reflections have all been considered. In this method, regression analysis is performed with a series of second-order Gaussians to filter and up-sample the original vessel profile. This is then segmented to identify and represent the vessel edges by two Generalized Gaussian functions. The technique has been applied to retinal images and the results have been verified and compared with the state of the art automatic techniques.
Starting Page	2606
Ending Page	2609
File Size	594082
Page Count	4
File Format	PDF
ISBN	9781424441211
ISSN	1557170X
e-ISBN	9781457715891
e-ISBN	9781424441228
DOI	10.1109/IEMBS.2011.6090719
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fitting Retinal vessels Estimation Educational institutions Biomedical measurements Australia Noise measurement Gaussian representation Retinal image Vessel profile
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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