Efficient CT Metal Artifact Reduction Based on Fractional-Order Curvature Diffusion. (24th July 2011)

• Record Type: Journal Article
• Authors: Zhang, Yi; Pu, Yi-Fei; Hu, Jin-Rong; Liu, Yan; Chen, Qing-Li; Zhou, Ji-Liu
• Other Names: Baltas Dimos Academic Editor.
• Is Part Of: Computational and mathematical methods in medicine. Volume 2011(2011)
• Publication Date: 2011-07-24
• Subjects: Medicine -- Computer simulation -- Periodicals; Medicine -- Mathematical models -- Periodicals; 610.11
• DOI: 10.1155/2011/173748
• Languages: English
• ISSNs: 1748-670X

Abstract

Abstract : We propose a novel metal artifact reduction method based on a fractional-order curvature driven diffusion model for X-ray computed tomography. Our method treats projection data with metal regions as a damaged image and uses the fractional-order curvature-driven diffusion model to recover the lost information caused by the metal region. The numerical scheme for our method is also analyzed. We use the peak signal-to-noise ratio as a reference measure. The simulation results demonstrate that our method achieves better performance than existing projection interpolation methods, including linear interpolation and total variation.