CT reconstruction based on improved total variation minimization

Reconstruction algorithm based on total variation (TV) minimization has become a hot topic in CT field. In order to make a better balance between suppressing noise and preserving edge, an improved variation is proposed in this paper. An anisotropic strategy is developed to effectively preserve the edges of imaging objects. Simultaneously, the unity weight in the original variation is substituted by an amplitude dependent weight to suppress the smaller variations, which arise from noise effect with a higher possibility. Numerical simulations validated that the CT reconstruction based on the improved variation has a better reconstruction performance as compared to its original counterpart.