Peng Ying-ying, Zhang Yu, Jiang Gui-ping
Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2010 Sep;30(9):2074-6.
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 effectively reduced and the valuable details of the images were maintained.
在磁共振成像（MRI）中，吉布斯伪影通常是由仅涉及部分k空间数据的重建引入的。当前减少吉布斯伪影的方法通常基于k空间数据。本文提出了一种基于逆扩散的图像处理方法。该方法直接应用于磁共振图像，通过像素灰度值的扩散在减少伪影的同时增强边缘。实验表明，吉布斯伪影得到了有效减少，并且图像的有价值细节得以保留。
