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  • Title: [Gibbs artifact reduction in magnetic resonance images based on inverse diffusion].
    Author: Peng YY, Zhang Y, Jiang GP.
    Journal: Nan Fang Yi Ke Da Xue Xue Bao; 2010 Sep; 30(9):2074-6. PubMed ID: 20855253.
    Abstract:
    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.
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