郭敏,马远良,朱霆,耿承军.基于小波变换的医学超声图像去噪及增强方法[J].中国医学影像技术,2006,22(9):1435~1437
基于小波变换的医学超声图像去噪及增强方法
A method of medical ultrasonic image denoising and enhancement based on wavelet transform
投稿时间:2006-05-26  修订日期:2006-08-18
DOI:
中文关键词:  医学超声图像  小波变换  小波阈值去噪
英文关键词:Medical ultrasonic image  Wavelet transform  Wavelet threshold denoising
基金项目:陕西省自然科学基金资助项目(2005A12)。
作者单位E-mail
郭敏 西北工业大学航海学院,陕西 西安 710072
陕西师范大学计算机科学学院,陕西 西安 710062 
guomin@snnu.edu.cn 
马远良 西北工业大学航海学院,陕西 西安 710072  
朱霆 第四军医大学西京医院超声科,陕西 西安 710032  
耿承军 解放军第101医院放射科,江苏 无锡 214044  
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中文摘要:
      目的 探求一种基于小波变换的医学超声图像去噪及增强方法。方法 提出了一种基于小波分析理论的医学超声图像噪声的综合抑制方法,首先对医学超声图像进行对数变换,将乘性噪声变成加性噪声;然后进行多尺度小波变换,将图像分解成一系列不同尺度上的小波系数,对变换后不同尺度的高频子图像进行非线性小波软阈值处理,阈值处理后的高频子图像进行增强;最后,经小波逆变换和指数变换恢复去噪后图像。结果 原图像中斑纹噪声被有效去除,图像边缘细节得以保留。结论 该方法可有效保留细节信号,极大限度地去除斑纹噪声。
英文摘要:
      Objective A method of medical ultrasonic images denoising and enhancement based on wavelet transform is explored. Methods A integrated speckle suppression method for medical ultrasound image based on wavelet transform was presented. Firstly, logarithmic transform was carried out to the medical ultrasound image. Multiplicative noises were transformed into additive ones. Secondly, the image was decomposed into low frequency and high frequency sub-band images by wavelet transform. Nonlinear soft threshold denoising and enhancement were carried out to the multiscale high frequency sub-band images. Finally, the inverse wavelet transform and the exponential transform were processed. Results The speckle noises in the original image were removed efficiently and the image edge details were reserved. Conclusion The method is efficiently to denoising speckle noises and reserving edge details in medical ultrasonic image.
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