基于局部与非局部医学图像降噪技术的研究进展

Progress in medical image denoising technology based on local and nonlocal filtering

医学图像对临床诊断具有重要的参考价值,为了获得高质量的医学图像,达到清晰辨识病理区域特征的目的,降噪技术成为重要的研究领域。首先,简要介绍医用设备成像原理及产生的噪声类型。然后,以局部、非局部为分类阐述几种常用的降噪方法,重点介绍非局部均值滤波算法的原理、优缺点、改进方式及应用范围。最后,总结上述降噪技术存在的主要问题,展望今后的研究方向,非局部与局部滤波技术结合运用可能为一种通用的医学图像降噪技术带来新思路。

Medical image has important reference values for clinical diagnosis. In order to obtain high quality medical images and achieve the purpose of clearly identifying the features of pathological regions, denoising technology has become an important study topic. Firstly, the imaging principle of medical equipments and the types of noise were introduced briefly. Then several commonly used denoising methods were expounded based on local and nonlocal classification. The principle, merits and demerits,improvement method and application range of nonlocal means filtering algorithm were mainly introduced. Finally, the main problems of the denoising technology were summarized and prospects of potential future research directions were put forward.The combination of nonlocal and local filtering technology may bring new ideas for a general medical image denoising technology.