计算机工程2012，Vol.38Issue(20)：200-203,208,5.DOI:10.3969/j.issn.1000-3428.2012.20.052
血管内超声图像序列的边缘自动检测方法
Automatic Edge Detection Method of Intravascular Ultrasound Image Sequence
汪友生 1张丽杰 1王志东 1陈建新1
作者信息
- 1. 北京工业大学电子信息与控制工程学院,北京100124
- 折叠
摘要
Abstract
Aiming at the Intravascular Ultrasound(IVUS) image with strong background noise and pseudo shadow interference, a novel method of automatic vessel wall edge detection for IVUS images is proposed. In the process of detecting edge, the noise can be reduced by using the spatial and temporal correlation among the sequences. The new regulatory factor and adaptive normal external force are introduced in the GVF-Snake model which not only enlarges the edge capture range and makes the extraction effect of the image more accuracy, but also improves the robustness of the aotive contour to noise. It uses cubic B-spline to enhance the edge smoothness, and speeds up the convergence. Experimental results demonstrate that the method has higher accuracy and shorter running time.
关键词
血管内超声图像/边缘检测/活动轮廓模型/梯度向量流/自适应外力/三次B样条Key words
Intravascular Ultrasound(IVUS) image/ edge detection/ active contour model/ Gradient Vector Flow(GVF)/ adaptive external force/ cubic B-spline
分类
信息技术与安全科学引用本文复制引用
汪友生,张丽杰,王志东,陈建新..血管内超声图像序列的边缘自动检测方法[J].计算机工程,2012,38(20):200-203,208,5.
