Improved kernel-based limited-view CT reconstruction VIA anisotropic diffusion

Reconstruction from only a limited number of projections is an important problem in medical imaging. In this paper, a novel kernel-based limited-view CT reconstruction method is proposed. First based on the classical FDK algorithm, we derive the reconstruction kernel. Then the FDK kernel is truncated to reduce the noises aroused by the oscillations of the kernel. And a novel anisotropic diffusion model is introduced to suppress the artifacts and noise. Finally, several reconstruction experiments are presented to verify the efficiency and accuracy of proposed method.