The Image Reconstruction Algorithm Based on Wiener Filtering

In the actual scanning process, the projection data is inevitably influenced by various noises, thus it affects the precision of reconstructed image, which brings certain troubles for subsequent image processing. In order to improve the quality of the image reconstruction, this paper proposes a new method of image reconstruction. Firstly, we use the wiener filtering to deal with the iteration result after each iteration by SART algorithm, and adopt the steepest gradient descent method to adjust the total variation of the filtered results. The experimental results show that this method is very effective, and the quality of image is improved obviously compared with the traditional reconstruction methods.