CASIA OpenIR  > 中国科学院分子影像重点实验室
Retinal fundus image registration via vascular structure graph matching
Tian, Jie; Deng, Kexin; Zheng, Jian; Zhang, Xing; Dai, Xiaoqian; Xu, Min
发表期刊International Journal of Biomedical Imaging
2010
卷号2010期号:906067页码:13
摘要Motivated by the observation that a retinal fundus image may contain some unique geometric structures within its vascular treeswhich 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 optimumsolution can be achieved with graph matching; (2) ourmethod 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.
关键词Vascular Structure
收录类别EI
WOS记录号WOS:20104213297345
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/3892
专题中国科学院分子影像重点实验室
通讯作者Tian, Jie
推荐引用方式
GB/T 7714
Tian, Jie,Deng, Kexin,Zheng, Jian,et al. Retinal fundus image registration via vascular structure graph matching[J]. International Journal of Biomedical Imaging,2010,2010(906067):13.
APA Tian, Jie,Deng, Kexin,Zheng, Jian,Zhang, Xing,Dai, Xiaoqian,&Xu, Min.(2010).Retinal fundus image registration via vascular structure graph matching.International Journal of Biomedical Imaging,2010(906067),13.
MLA Tian, Jie,et al."Retinal fundus image registration via vascular structure graph matching".International Journal of Biomedical Imaging 2010.906067(2010):13.
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