Multi-scale Based Image Enhancement Algorithm for Hepatic Portal Vein with Multi-slice Spiral CT Angiography
基于多尺度滤波的肝门静脉CT图像增强方法

To improve the precision of vessel segmentation and analysis affected by the quality of portal vein angiography images,a new function of comparability is presented in this paper to enhance the contrast between hepatic portal vein and other tissues such as liver parenchyma,which is based on a thorough analysis of the Hessian-matrix-based multi-scale filter.An automated definition of interested grey range was achieved by analyzing the characteristics of portal vein angiography images.Then in which range a function of comparability,combined the multi-scale Hessian matrix's eigenvalue characteristics and original angiography's intensity information,is used to enhance the portal vein angiography images.And the results show that the improved Hessian-matrix based multi-scale filter can significantly enhance the portal vein with multi-slice spiral CT angiography.