一种改进的3D血管增强算法

Improved 3D vessel enhancement algorithm

Sato的滤波器可以有效地滤除3D数据中的面状结构和球状结构,但是对于背景信息滤除效果不佳。基于Sato的血管增强原理,提出了一种改进算法。新算法将背景像素的Hessian矩阵特征值也考虑到滤波器的设计中,增强了滤波器滤除背景像素的功能。基于临床颈动脉的CTA数据和脑部血管MRA数据,做了实验分析。实验结果表明,在保留原算法优点的情况下,背景内容被大幅度移除,图像对比度得到进一步提高,血管结构更加清晰可辨。

The line filter designed by Sato can remove most of the plate- and blob-like structures in images except forbackground pixels. Based on the vessel enhancement principle proposed by Sato, an improved 3D vessel enhancementalgorithm is presented in this paper. Aiming to remove the unnecessary information, this algorithm takes the eigenvaluesof Hessian matrix of background pixels into consideration. Clinical experiment is conducted on 3D carotid artery CTAdata and cerebral vessel MRA data. Experimental results indicate that the background is greatly suppressed and vesselstructures become more distinct with enhanced image contrast.