Detecting Endocardial Boundary in Echocardiogram by Anisotropic Filtering and Entropy-Weighted Features

被引：0

作者：

Chao, Pei-Kuang ^{[1
]}

Yao, Ming-Hsiao ^{[1
]}

Chan, Hsiao-Lung ^{[1
,2
]}

Wang, Chun-Li ^{[3
]}

机构：

[1] Chang Gung Univ, Dept Elect Engn, 259 Wenhwa 1st Rd, Tao Yuan, Taiwan

[2] Chang Gung Univ, Hlth Aging Res Ctr, Tao Yuan, Taiwan

[3] Chang Gung Univ, Cardiovascular Dept, Div 1, Tao Yuan, Taiwan

来源：

5TH EUROPEAN CONFERENCE OF THE INTERNATIONAL FEDERATION FOR MEDICAL AND BIOLOGICAL ENGINEERING, PTS 1 AND 2 | 2012年 / 37卷

关键词：

echocardiography; boundary detection; entropy; anisotropic filtering; feature clustering; IMAGES; SEGMENTATION;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Reading echocardiograms is important to evaluate cardiac function. Due to influence of speckle, shadow and artifacts, analyzing echocardiograms requires more effort and energy than other medical imaging. A computerized method is proposed by this study to automatize the detection of endocardial boundaries based on B-mode echocardiograms in short-axis view. Local entropy, anisotropic filtering, and cost image technique are used to pre-process the images to enhance the difference of blood region from the segments of myocardium and fix missing edge components. Above 80% of true positive can be achieved by the method when comparing to boundaries identified manually.

引用

页码：607 / +

页数：2