NDLI: Automatic detection of retinal vascular landmark features for colour fundus image matching and patient longitudinal study

Content Provider	IEEE Xplore Digital Library
Author	Nguyen, U.T.V. Bhuiyan, A. Park, L.A.F. Kawasaki, R. Wong, T.Y. Ramamohanarao, K.
Copyright Year	2013
Description	Author affiliation: Dept. of Public Health, Yamagata Univ., Yamagata, Japan (Kawasaki, R.) \|\| Sch. of Comput., Eng. & Math., Univ. of Western Sydney, Sydney, NSW, Australia (Park, L.A.F.) \|\| ICT Centre, Commonwealth Sci. & Ind. Res. Organ. (CSIRO), Australia (Bhuiyan, A.) \|\| Singapore Eye Res. Inst., Nat. Univ. of Singapore, Singapore, Singapore (Wong, T.Y.) \|\| Dept. of Comput. & Inf. Syst., Univ. of Melbourne, Melbourne, VIC, Australia (Nguyen, U.T.V.; Ramamohanarao, K.)
Abstract	Retinal vascular landmark points such as branching points and crossovers are important features for automatic retinal image matching and vascular abnormality detection. These landmark points can enable automatic screening of large dataset through the detection of vascular network abnormalities (i.e., arteriovenous nicking, retinal vein occlusion) which are important for hypertension and cardiovascular disease prediction. Existing methods for crossover point detection use only local information at each image pixel without considering vascular features to detect crossover positions. This leads to the misclassification of very acute crossovers which are represented by two bifurcation points in the skeleton image. In this article, we propose a robust method that utilizes both local information and vascular geometrical features at the crossing to distinguish crossover from non-crossover points in a retinal image. The proposed method was validated on fifteen high resolution retinal images and the results show that our method achieves higher accuracy than any existing methods. In particular, the proposed method can discover more than 74% (recall) of crossovers with a detection accuracy (fraction of detected crossover points that are correct) of 83% (precision). The detected crossovers provide essential results for the automatic detection of vascular network abnormalities, such as arteriovenous nicking, neovascularization, and retinal vein occlusion.
Starting Page	616
Ending Page	620
File Size	2430240
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738127
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Retina Skeleton Image segmentation Bifurcation Feature extraction Biomedical imaging Vectors skeletonization Retinal image crossover point vascular landmark point blood vessel segmentaiton
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in