摘要
目的将各向异性扩散方法应用于超声医学图像的去噪处理。方法采用基于各向异性扩散的偏微分方程,其初始值为输入图像,转化为差分格式迭代求解滤波结果,并通过修改方程中的噪声比例函数使方程更加适用于超声医学图像的滤波。结果通过与其他3种传统滤波方法比较,修正系数后的各向异性扩散滤波方法能够较好地平滑图像的噪声,并且图像的边缘和细节部分依然清晰可见。结论各向异性扩散方法是一种去除超声图像Speckle噪声的有效方法,为超声医学图像的滤波开辟了一条新途径。
Objective To remove the speckle noise in ultrasonic images by using anisotropic diffusion method. Method Based on anisotropic diffusion, a partial differential equation, of which the initial data was the input images, was transformed into differential forms and solved with iterations. The speckle scale function of the equation was modified to make better use in filtering medical ultrasonic images. Result By comparing the results with other three filters, the anisotropic diffusion method could smooth the speckles very well and the edge of the image was also clear. Conclusion Anisotropic diffusion can remove the speckle noise effectively and has great potential in filtering medical ultrasonic images.
出处
《航天医学与医学工程》
CAS
CSCD
北大核心
2005年第2期135-139,共5页
Space Medicine & Medical Engineering
基金
国家自然科学基金资助项目(60272060)
教育部博士点基金资助项目(20030610032)
教育部优秀青年教师资助计划项目
关键词
医学图像处理
各向异性扩散
超声图像
图像滤波
医学诊断
medical image processing
anisotropic diffusion
ultrasonic image
image filtering
medical diagnosis
