title: [Gibbs artifact reduction in magnetic resonance images based on inverse diffusion].
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.
authors.affiliation: Department of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. seashell@fimmu.com
authors.forename: Ying-ying
authors.initials: YY
authors.lastname: Peng
authors.forename: Yu
authors.initials: Y
authors.lastname: Zhang
authors.forename: Gui-ping
authors.initials: GP
authors.lastname: Jiang
mesh_terms: D000465:Algorithms; D016477:Artifacts; D004058:Diffusion; D005583:Fourier Analysis; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*