Regularized PET Image Reconstruction Method Using Nonlinear Diffusion Equations[J]. Journal of Image and Graphics, 2006, 11(2): 230. DOI: 10.11834/jig.20060238.
regularization methods are usually considered to suppress noise effects in reconstructed images. In this paper
the Mumford-Shah functional model was firstly investigated and the new variational framework for PET reconstruction was then proposed. The resultant linear diffusion equation based reconstruction method was derived accordingly. Based on this linear method
the new nonlinear diffusion method was also presented to provide more advantages for the image edge preservation. Simulation results suggest that both linear and nonlinear diffusion equations based methods have nice performance in final reconstructions. Also
results have verified that the nonlinear diffusion equation based reconstruction method is superior to the linear one in both noise smooth and edge preservation.