首页|基于信号特征的颈动脉内中膜厚度提取算法

基于信号特征的颈动脉内中膜厚度提取算法

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人颈动脉内中膜厚度是衡量心血管疾病的一个重要指标,临床上通常使用超声诊断仪来进行检测。厚度计算的方法一般是人工计算或者计算机自动计算,人工计算效率低下,而自动计算通常使用的是通用型的图像边缘检测类算法,并没有应对颈动脉内中膜处信号的特征作合理的优化。根据颈动脉内中膜包络信号的特征,提出一种新的方法来自动计算其厚度。实验证明,该方法能够有效地在图像上标记出颈动脉内中膜上下边界的位置,从而获得准确的厚度值。
An Approach to Detect the Intima-Media Thickness Based on Characteristic of Envelope Signal
The Intima-Media Thickness of Carotid Artery is an important index to measure cardiovascular disease, usually in clinical use of ultra-sonic diagnostic apparatus for testing. The thickness is generally calculated manually or automatically, manual method is inefficient, and automatical method usually use the general image edge detection algorithms, with no optimization for signal characteristics. According to the characteristics of carotid intima-media envelope, presents a new method to calculate its thickness. Experiments show that this method can efficiently mark the position of carotid intima-media up and down the border, then obtains accurate thickness values.

Carotid ArteryIntima-Media ThicknessEnvelope Signal

蒋天宇

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四川大学计算机学院,成都 610065

颈动脉 内中膜厚度 包络信号

2015

现代计算机(普及版)
中山大学

现代计算机(普及版)

影响因子:0.202
ISSN:1007-1423
年,卷(期):2015.(12)
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