自动测量造影图像中血管中心线和宽度的新方法  

A New Approach to Centerlines and Widths Measurement of Blood Vessels in X-Ray Angiogram

作　　者：贾冬焱[1] 郝立巍[1] 周寿军[2] 李树祥[1] 

机构地区：[1]南方医科大学生物医学工程学院,广州510515 [2]北京理工大学信息科学技术学院,北京100081

出　　处：《中国生物医学工程学报》2007年第2期214-219,225,共7页Chinese Journal of Biomedical Engineering

基　　金：国家973计划(2003CB716104)

摘　　要：在血管造影图像中,精确估计血管中心线和宽度是血管疾病量化与可视化诊断的先决条件。本研究在优化处理血管特征并获取细化的血管骨架之后,提出了一种基于截面梯度轮廓(CSGP)的血管参数(中心线和宽度)测量新算法:该算法采用了统计均值和亮度控制的搜索技术。实验中,利用了多种方法进行理想的和实际的造影图像血管参数测量。通过量化误差比较,CSGP新算法明显好于现有较好的引力中心法:解决了经典方法不提供血管宽度,以及无法测量节点(交叉、分支)处血管中心线的缺陷。In the X-Ray angiogram, the precise estimation of vascular centerlines and widths is very important for the quantitative and visualized diagnosis of blood vessel disease. In this paper, an approach based on the cross-section gradient profile （CSGP） was proposed for the vessel parameters （centerlines and widths） measurement, after the fine vessel features and the thinned skeleton-lines were acquired. The proposed method utilized a luminance-controlled searching technique. In the experiments, multi methods are used to measure the vascular parameters in the ideal image and the practical angiogram one. By the quantitative square errors comparison, the CSGP based algorithm is better than the classic one of the center of gravity： Two serious disadvantages in the classic algorithms have been solved, i.e. the measurement of vessel widths and the complexion of blood vessel nodes were not considered in their algorithm models.

关 键 词：血管造影 血管提取 血管中心线测量 血管宽度测量 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]