Automatic Segmentation of Echocardiography Based on a Morphological Reconstruction Algorithm
- VernacularTitle:基于重构形态学算法的超声心脏图像自动分割
- Author:
Xianhua SHEN
;
Deyu LI
;
Jiangli LIN
;
Tianfu WANG
;
Xiaohui WEN
;
Changqiong ZHENG
;
Li RAO
;
Hong TANG
- Publication Type:Journal Article
- Keywords:
ultrasonic images;
morphology;
reconstruction;
segmentation;
echocardiography
- From:Space Medicine & Medical Engineering
2005;18(4):246-250
- CountryChina
- Language:Chinese
-
Abstract:
Objective To improve the precision of the traditional segmentation of echocardiogram, by suppressing the influence from inherent speckle noises in medical ultrasonic images. Method An automatic segmentation method based on reconstructed morphology was proposed in this paper. First, the opening and closing operations by reconstruction were imposed to the ultrasonic image. Second, the top-hat operation was used to extract the bright and/or dark features and to find out the boundaries corresponding to these features, whereby implemented the automatic segmentation. Result The segmented echocardiogram had less artificial boundaries resulted from speckle noise, and could accurately be extracted the artery and ventricle. Conclusion The presented method can detect both dark and bright objects accurately, and the boundary has a fine continuity. In addition, the algorithm is also applicable to the extraction of sole bright/dark features, accordingly to reduce the complexity and time needed and to improve the accuracy.
