Hessian-based Vessel Enhancement Combined with Directional Filter Banks and Vessel Similarity
Vessel enhancement in angiogram is an important preprocessing procedure for clinical diagnosis and further processing.Hessian-based methods have been widely used due to its elegant geometrical interpretations.But classical Hessian-based methods suffer the drawbacks of blurred vessel edges and intensity inhomogeneity,especially in vessel junction regions.In this paper,a new vessel enhancement method is proposed to address these problems.The input angiogram is first decomposed into several directional images and each of them is enhanced by traditional Hessian-based method.Then the enhanced direction images are recombined to generate final result.To improve contrast at vessel edges and intensity homogeneity in vessels,a vessel similarity measurement is proposed and used as weight coefficients in the recombination of enhanced directional images.It is calculated based on the intensity and curvature analysis of directional images.Qualitative and quantitative experiments performed on typical angiograms and retinal images in DRIVE database show that the proposed method has better performance than other two Hessian-based enhancement methods.
Angiogram Hessian Matrix Directional Filter Banks Vessel Similarity
Xuang Xu Bo Liu Fugen Zhou
Image Processing Center Beihang University 37 Xueyuan Road, Beijing 100191, China
国际会议
2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)
北京
英文
80-84
2013-05-25（万方平台首次上网日期，不代表论文的发表时间）