全方向M型心动图运动曲线检测算法的应用研究

doi:10.11999/JEIT151089

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Abstract

In order to improve the detection effect of omni-directional M-mode echocardiography motion curve, this paper focuses on the research of the related issues and proposes an edge detection algorithm with fuzzy enhancement and gray system theory for the omni-directional M-mode echocardiography’s motion curve. Firstly, the improved fuzzy enhancement algorithm is used to enhance the edge information, while suppressing the noise and background. Moveover, the proposed algorithm is used to detect edges on echocardiography image based on a ststistic which is constructed by gray correlation in gray system theory. Finally, the best motion edges can be obtained by eliminating noise and connecting crack motion curve. Experimental results show that the proposed algorithm has better accuracy and strong robustness against the noise.

Key words： Omni-directional M-mode echocardiography Fuzzy enhancement algorithm Grey absolute correlation

Received: 23 September 2015 Published: 14 April 2016

PACS:	TP391
	R540.4+5

Fund:

The National Natural Science Foundation of China (61471124), The Natural Science Foundation of Guangxi Higher Education Institutions (YB2014418)

Corresponding Authors: WANG Kun E-mail: 1369730920@qq.com

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	WANG Kun
	HUANG Liqin
	ZHENG Xin

Cite this article:

WANG Kun,HUANG Liqin,ZHENG Xin. Application of Motion Curve Edge Detection Algorithm in Omni-directional M-mode Echocardiography[J]. JEIT, 2016, 38(7): 1660-1665.

URL:

http://jeit.ie.ac.cn/EN/10.11999/JEIT151089 OR http://jeit.ie.ac.cn/EN/Y2016/V38/I7/1660

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