基于偏微分方程的医学磁共振图像去噪  

Pde-Based MRI Image Denoising

作　　者：梁晓云[1] 曾卫明[1] 罗立民[1] 

机构地区：[1]东南大学生物科学与医学工程系,南京210096

出　　处：《信号处理》2004年第3期318-321,共4页Journal of Signal Processing

摘　　要：本文引入了基于偏微分方程的Perona-Malik模型,并结合了Catte的高斯扩散滤波器的概念,给出了一种针对医学磁共振图像去噪的方法及其实现。文中通过给出不同参数,对结果加以比较分析。把该方法应用于医学图像去噪,得到比较令人满意的结果。A PDE-based Perona-Malik model was introduced in this paper. Combined with the idea first presental by Catte about Gaussian diffesion filter, a method for MRI image denoising was presented with its realization. According to different parameters given, results were compared and analyzed. The method was applied to medical images and its results were encouraging.

关 键 词：医学诊断 磁共振图像 图像去噪 偏微分方程 Perona-Malik模型 

分 类 号：R445[医药卫生—影像医学与核医学]