Automatic Segmentation of Echocardiography Based on a Morphological Reconstruction Algorithm
SHEN Xian-hua
LI De-yu
LIN Jiang-li
WANG Tian-fu
WEN Xiao-hui
ZHENG Chang-qiong
RAO Li
TANG Hong
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.
Keywords：ultrasonic imagesmorphologyreconstructionsegmentationechocardiography
Publication Date：2005-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 246-250 )