Computational and Mathematical Methods in Medicine
Volume 2011 (2011), Article ID 173748, 9 pages
http://dx.doi.org/10.1155/2011/173748
Research Article

Efficient CT Metal Artifact Reduction Based on Fractional-Order Curvature Diffusion

Yi Zhang,1 Yi-Fei Pu,1 Jin-Rong Hu,1 Yan Liu,2 Qing-Li Chen,1 and Ji-Liu Zhou1

1College of Computer Science, Sichuan University, Chengdu 610065, China
2School of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China

Received 13 April 2011; Revised 20 May 2011; Accepted 26 May 2011

Academic Editor: Dimos Baltas

Copyright © 2011 Yi Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.