摘要
血管内超声成像可以显示血管内腔、管壁清楚的实时截面图像,从而使定量测量血管参数成为可能。传统手动追踪内腔和管壁边界的方法既费时又有较大的主观误差,本文基于快速主动轮廓算法模型提出一种适合血管内超声图像的自动边缘检测方法。实验结果发现,自动检测的内腔、血管壁面积与手动追踪非常吻合,具有较高的相关系数(0.94和0.95)和较小的系统误差(-0.32和0.56),可作为医生可靠而准确的诊断工具。
Intravascular ultrasound can provide clear real-time cross-sectional images including lumen and plaque. Quantitative measurement can be performed by these images. Traditionally, the luminal border and medial-adventitial border are manually traced. This process is time-consuming and the subjective difference is larger. A new automated contour detection method is used for intravascular ultrasound images based on a fast active contour model. Experimental results show that luminal and vessel area measurements after automated detection are in agreement with manual trace with high correlation coefficients (0 94 and 0 95) and small system difference (-0 32 and 0 56). Thus it is used as a reliable and accurately diagnostic tool.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2005年第3期313-318,共6页
Journal of Nanjing University of Aeronautics & Astronautics
关键词
边缘检测
图像处理
可变形模板
血管内超声
内腔边界
contour detection
image processing
medial-adventitial border
intravascular ultrasound
luminal border
