Automatic Endocardium Extraction for Echocardiogram
Endocardium extraction is an important step in the cardiac diseases analysis. Manual and semi-automatic segmentation suffer from the poor accuracy and timeconsuming. A new approach by incorporating the spatial-temporal information was proposed to extract endocardium automatically. Firstly, according to the cardiac chamber movements in systolic and diastolic phases, an adaptive window-based method combining texture features was employed to identify the chamber location. Then, the initial contour was quickly detected. Lastly, a deformable model with the selective ensemble learning method was applied to obtain the final smooth contour. The algorithm was evaluated and compared with other contour extraction methods for real echocardiograms. Experimental results indicated that both the mean absolute difference and the percentage of the area overlap exhibited satisfactory performances. Therefore, this approach is a promising method for echocardiogram segmentation.
endocardium extraction automatic adaptive chamber definition echocardiogram.
Yi Guo Yuanyuan Wang Dehong Kong Xianhong Shu
Department of Electronic Engineering Fudan University Shanghai, China Department of Echocardiography Zhongshan Hospital of Fudan University Shanghai, China
国际会议
上海
英文
157-161
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）