北京生物医学工程

血管内超声图像边缘提取方法的研究进展

Progress in the Arithmetic of IVUS Image Segmentation

作者：汪友生舒毓陈建新

单位：北京工业大学电控学院（北京100124）

分类号：

出版年·卷·期（页码）：2010·29·3（312-317）

摘要：

血管内超声图像在心血管疾病的诊断和介入治疗中具有重要作用，超声图像的边缘提取有很强的现实意义。但超声频率的提高加大了噪声的影响，增加了血管壁内外膜边缘提取的难度。本文从预处理、检测模型以及算法实现三方面，回顾了近几年血管壁边缘提取的发展情况和研究动态，并对未来的发展方向进行了总结和展望。

Intravascular ultrasound (IVUS) plays an important role in the diagnosis of cardiovascular diseases and interventional treatment. The edge detection of IVUS image has a strong practical significance. However, the improvement of ultrasonic frequency increases the noise impact, and increases the difficulty for extracting the edges of the vessel wall intima and adventitia. This paper reviews the research and development of IVUS image edge detection from pre-process, detection models and algorithms in recent years, and prospects the future direction of development for IVUS image edge detection.

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