Title :
Improved kernel-based limited-view CT reconstruction VIA anisotropic diffusion
Author :
Feng, Jun ; Zhang, Jian-Zhou
Author_Institution :
Coll. of Comput., Sichuan Univ., Chengdu, China
Abstract :
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.
Keywords :
computerised tomography; image reconstruction; medical image processing; FDK algorithm; anisotropic diffusion model; artifacts-noise suppression; kernel-based limited-view CT reconstruction method; medical imaging; Anisotropic magnetoresistance; Approximation methods; Computed tomography; Image reconstruction; Kernel; Noise; Reconstruction algorithms; Anisotropic diffusion; Approximate inversion; Chambolle-Lions equation; FDK kernel; Limited-view;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6115696