血管内超声图像序列分割的研究进展  

Research Progress of Intravascular Ultrasound Image Sequence Segmentation

作　　者：杨宇[1] 孙正[1] 

机构地区：[1]华北电力大学电子与通信工程系,河北保定071003

出　　处：《北京生物医学工程》2009年第4期440-444,共5页Beijing Biomedical Engineering

基　　金：国家自然科学基金（30500129）资助

摘　　要：血管内超声（IVUS）图像序列的分割对冠状动脉疾病的临床诊断和治疗有着重要意义，学者们为此提出了多种分割方法。本文首先分析了IVUS图像的成像过程及其特点，然后介绍了近年来提出的典型IVUS图像序列分割方法，给出了这些方法的基本原理，并对其优缺点进行分析，最后展望了该领域的研究发展方向。The detection of vascular wall from intravascular ultrasound （IVUS） image sequences is of importance in clinical diagnosis and interventional treatment of coronary artery diseases. Researchers have proposed many kinds of methods. In this paper, firstly, the characteristics of IVUS images and it＇s imaging process are analyzed. Secondly, recent approaches and their principles are introduced, their advantages and disadvantages are analyzed as well. Finally, some prospects of possible research are given.

关 键 词：血管内超声 图像分割 SNAKE模型 模式识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]