基于逆扩散方法的MR图像Gibbs伪影校正

Gibbs伪影是由于采样数目和采样时间的有限使数据截断导致的一种常出现在MR图像边缘的伪影.目前的Gibbs伪影去除普遍为基于k空间数据的方法,本文提出一种基于逆扩散方法的校正Gibbs伪影的图像后处理方法.该方法直接针对MR图像,通过像素灰度值的扩散达到去除伪影同时增强边缘的作用.实验结果表明,这种方法能有效去除图像伪影并保留有价值的边缘细节,明显提高了图像质量.

Gibbs artifact reduction in magnetic resonance images based on inverse diffusion

In magnetic resonance imaging(MRI),Gibbs artifact is often introduced by the reconstruction involving only part of the k-space data.The current methods of Gibbs artifact reduction are generally based on the k-space data.In this paper,an image processing method based on inverse diffusion is proposed.This method is directly applied to the MR images,which can achieve the reduction of artifacts while enhancing the edge by the diffusion of pixel gray value.Experiments showed that the Gibbs artifact was effective...