A Novel Automatic Registration Method for Fluorescein Fundus Angiography Sequences Based on Mutual Information
LIU Xiaoyan① WANG Haohao① SUN Gang① ZHANG Pu② LIU Min① GAO Ling②#br#
①(College of Electrical and Information Engineering, Hunan University, Changsha 410082, China) ②(Department of Ophthalmology, the Second Xiangya hospital of Central South University, Changsha 410011, China)
Abstract：Fluorescein Fundus Angiography (FFA) is regarded as the golden diagnostic criteria for fundus diseases. However, dislocation or rotation of the interested images on anatomic landmark (like retinal vascular branches, neovascularization), caused by inevitable eyeball movement, brings about difficulties in subsequent
quantitative analysis and progress assessment of the diseases. In order to solve the above problems, a novel method based on mutual information is proposed for automatic registration of FFA image sequence. Firstly, the vessels of image sequence are segmented by multi-scale linear filter and down sampled hereafter by image pyramid. Then, the similarity of sampled images is calculated by mutual information and the evolution strategy is adopted to optimize the registration parameters. Finally, the transformation matrix with maximum mutual information is obtained to register the FFA image. Tests with FFA image sequences of 4 patients (total 1039 frames) show that the overall registration rate of the algorithm reaches 93% and the failure rate is only 1%. Compared with the classical registration methods, the proposed method shows better comprehensive performance in terms of registration rate, computing speed as well as robustness. It lays basic foundations for quantitative analysis on FFA images and potential clinical application.
刘小燕,王皓浩,孙刚,张谱,刘敏, 高玲,. 基于互信息的荧光素眼底血管造影图像序列的自动配准方法[J]. 电子与信息学报, 2018, 40(8): 1919-1926.
LIU Xiaoyan, WANG Haohao, SUN Gang, ZHANG Pu, LIU Min, GAO Ling. A Novel Automatic Registration Method for Fluorescein Fundus Angiography Sequences Based on Mutual Information. JEIT, 2018, 40(8): 1919-1926.
