NDLI: A novel automatic method for vessel tortuosity evaluation

Content Provider	IEEE Xplore Digital Library
Author	Ghadiri, F. Pourreza, H. Banaee, T.
Copyright Year	2012
Description	Author affiliation: Computer Engineering Department, Ferdowsi University of Mashhad, Iran (Ghadiri, F.; Pourreza, H.) \|\| Ophthalmologic Research Center, Khatam-Al-Anbia, Medical Science university of Mashhad, Iran (Banaee, T.)
Abstract	Tortuosity evaluation of retinal or conjunctival vessels is one of the significant steps in early treatment of diabetic retinopathy. Despite the importance of this field, a few techniques have been proposed. In this paper, we proposed a new automatic algorithm for measuring vessel tortuosity based on Non Subsampled Contourlet Transform (NSCT). Major vessels and their directional information are extracted using NSCT in the first step. Then local vessel curvature is computed using obtained NSCT information and entire vessel network tortuosity is computed by combination of these local curvature values. Accuracy of our algorithm is evaluated by spearman correlation of our result and a set of images which are ordered by an ophthalmologist in ascending manner of tortuosity. We have shown that our algorithm achieves high accuracy in evaluation of vessels network tortuosity beside less computational time by reducing major steps of traditional tortuosity evaluation algorithm.
Starting Page	56
Ending Page	59
File Size	1319337
Page Count	4
File Format	PDF
ISBN	9781457721915
ISSN	21578672
e-ISBN	9783200023284
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-11
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Telecommunica
Subject Keyword	Correlation Accuracy NSCT Databases retina vessel tortuosity conjunctiva Retina Diabetes Data mining Biomedical imaging
Content Type	Text
Resource Type	Article

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