Retinal Fundus Image Registration via Vascular Structure Graph Matching
Joint Authors
Zheng, Jian
Deng, Kexin
Xu, Min
Dai, Xiaoqian
Tian, Jie
Zhang, Xing
Source
International Journal of Biomedical Imaging
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-09-07
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Motivated by the observation that a retinal fundus image may contain some unique geometric structures within its vascular trees which can be utilized for feature matching, in this paper, we proposed a graph-based registration framework called GM-ICP to align pairwise retinal images.
First, the retinal vessels are automatically detected and represented as vascular structure graphs.
A graph matching is then performed to find global correspondences between vascular bifurcations.
Finally, a revised ICP algorithm incorporating with quadratic transformation model is used at fine level to register vessel shape models.
In order to eliminate the incorrect matches from global correspondence set obtained via graph matching, we proposed a structure-based sample consensus (STRUCT-SAC) algorithm.
The advantages of our approach are threefold: (1) global optimum solution can be achieved with graph matching; (2) our method is invariant to linear geometric transformations; and (3) heavy local feature descriptors are not required.
The effectiveness of our method is demonstrated by the experiments with 48 pairs retinal images collected from clinical patients.
American Psychological Association (APA)
Deng, Kexin& Tian, Jie& Zheng, Jian& Zhang, Xing& Dai, Xiaoqian& Xu, Min. 2010. Retinal Fundus Image Registration via Vascular Structure Graph Matching. International Journal of Biomedical Imaging،Vol. 2010, no. 2010, pp.1-13.
https://search.emarefa.net/detail/BIM-506973
Modern Language Association (MLA)
Deng, Kexin…[et al.]. Retinal Fundus Image Registration via Vascular Structure Graph Matching. International Journal of Biomedical Imaging No. 2010 (2010), pp.1-13.
https://search.emarefa.net/detail/BIM-506973
American Medical Association (AMA)
Deng, Kexin& Tian, Jie& Zheng, Jian& Zhang, Xing& Dai, Xiaoqian& Xu, Min. Retinal Fundus Image Registration via Vascular Structure Graph Matching. International Journal of Biomedical Imaging. 2010. Vol. 2010, no. 2010, pp.1-13.
https://search.emarefa.net/detail/BIM-506973
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506973