冠状动脉造影图像中血管的分割和量化分析  

Segmentation and quantitative analysis of vessels in coronary artery angiogram

作　　者：黄碧君[1] 程晓曙[1] 

机构地区：[1]南昌大学第二附属医院心血管内科江西省分子医学重点实验室,江西南昌330006

出　　处：《中国医学影像技术》2013年第1期127-132,共6页Chinese Journal of Medical Imaging Technology

基　　金：国家"十一五"科技支撑计划课题项目(2008BA168B00)

摘　　要：目的提出一种针对X线冠状动脉血管造影图像的处理和分析系统。方法以基于多尺度Hessian矩阵的血管增强图像为基础,采用数学形态学和Canny算子相结合的方法来实现血管骨架和边缘的自动提取。提出一种基于分段测量和血管平行特性的血管直径测量新方法,以实现对于血管直径的精确测量和血管狭窄长度以及狭窄程度等重要参数的量化描述。结果相比于全局测量,血管分段测量提高了血管直径的测量精度和速度;各段血管直径和狭窄程度的测量结果与多名临床医师的测量结果基本一致。结论本文提出的方法具有良好的有效性和实用性,有助于冠心病的诊断和治疗。Objective To develop a processing and analysis system of X-ray coronary artery angiography （CAG） images. Methods Based on Hessian matrix for the purpose of vessel enhancement, the mathematical morphology algorithm and canny operator were used to achieve automatic extraction of vascular boundary and skeleton. Further, a new method for vessel diameter measurement, based on sectional measurement and vessel parallel feature, was proposed for accurate measurement of important parameters such as vessel diameter, vascular stenosis degree, stenosis length, etc. Results Firstly, compared with the method of global measurement, the sectional measurement provided more accurate results and efficiency of the measurement of vessel diameter. Secondly, the measurement results of vascular diameter and stenosis degree were in agreement with the measurement results of clinicians. Conclusion The proposed method has good effectiveness and practicality, which is beneficial to clinical diagnosis and treatment of coronary heart disease.

关 键 词：冠状动脉造影术 血管分割 血管直径 分段测量 量化分析 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]