全方向M型心动图运动曲线检测算法的应用研究

王琨; 黄立勤; 郑鑫

doi:10.11999/JEIT151089

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

1.
(广西民族师范学院物理与电子工程系崇左 532200) ②(福州大学物理与信息工程学院福州 350108)

基金项目:

国家自然科学基金(61471124)，广西高校科研项目(YB2014418)

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- 文章访问数: 1445
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- 被引次数: 0
出版历程
- 收稿日期: 2015-09-23
- 修回日期: 2016-03-15
- 刊出日期: 2016-07-19

Application of Motion Curve Edge Detection Algorithm in Omni-directional M-mode Echocardiography

1.
(Department of Physical and Electronic Engineering, Guangxi Normal University for Nationalities, Chongzuo 532200, China)
2.
(College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China)

Funds:

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

摘要

摘要: 为了提高全方向M型心动图运动曲线检测效果，该文对心动图的相关问题进行研究后，提出一种基于模糊增强和灰色理论的全方向M型心动图运动曲线检测算法。首先利用改进的模糊增强算法(PAL算法)来抑制噪声和背景，同时突出边缘信息；再利用灰色理论中的灰色绝对关联度构造统计量来进行边缘检测，精确定位出运动曲线；最后通过对孤立的噪声点和断裂的边缘进行后续的处理，得到最终的运动曲线。实验结果表明：该算法检测效果良好，噪声鲁棒性较强。
- 全方向M型心动图 /
- 模糊增强算法 /
- 灰色绝对关联度
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 echocardiographys 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.
- Omni-directional M-mode echocardiography /
- Fuzzy enhancement algorithm /
- Grey absolute correlation

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