An iterative image reconstruction algorithm combined with forward and backward diffusion filtering for in-line X-ray phase-contrast computed tomography
In this study, an iterative reconstruction algorithm for IL-PCCT was proposed by combining the simultaneous algebraic reconstruction technique (SART) with eight-neighbour forward and backward (FAB8) diffusion filtering, and the reconstruction was performed using the Shepp – Logan phantom simulation and a real synchrotron IL-PCCT experiment. The results showed that the proposed algorithm was able to produce high-quality computed tomography images from few-view projections while improving the convergence rate of the computed tomography reconstruction, indicating that the proposed algorithm is an effective method of dose reduction for IL-PCCT.
Source: Journal of Synchrotron Radiation - Category: Physics Authors: Zhao, Y. Sun, M. Ji, D. Cong, C. Lv, W. Zhao, Q. Qin, L. Jian, J. Chen, X. Hu, C. Tags: in-line X-ray phase-contrast computed tomography simultaneous algebraic reconstruction technique forward and backward diffusion filtering few-view projections research papers Source Type: research