摘要
从超声图像噪声的特点出发,利用各向异性扩散滤波技术,实现超声图像的自适应噪声抑制;并将其扩展到时间域图像序列的平滑中,以提高滤波的准确程度.模拟和临床实验表明:该方法可有效实现超声图像中斑点噪声的抑制,并提高图像序列的峰值信噪比;同时对心脏结构特征具有较好的保持和增强效果.
The noise suppression of echocardiographic images should also increase the image contrast of heart structures. Based on the study of noise characteristic, this paper proposed a filtering approach which incorporates anisotropic diffusion with the noise distribution model. Then the method was extended into spatial-temporal region, for better smoothing accuracy. The experimental results show that the proposed algorithm is effective on noise suppression and contrast enhancement for echocardiographic images.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2006年第11期1877-1880,共4页
Journal of Shanghai Jiaotong University
关键词
心脏超声图像
斑点噪声
特征增强
各向异性扩散滤波
echocardiography
speckle noise
contrast enhancement
anisotropic diffusion filtering
