关键词: 迭代重建算法, 压缩传感, 图像全变差

Abstract:

The iterative image reconstruction algorithm is a classic method for the image reconstruction of computed tomography (CT), which can recover the image from incomplete projection data. However, the Iterative image reconstruction algorithm suffers slow reconstruction speed. With the theory of compressed sensing, an improved algorithm based on the minimization of the image total variation (TV) is proposed to improve the quality of the recovered image and the speed of reconstruction. In the improved algorithm, the initial value of iteration differs in different stages of the iteration, and the total variation is adjusted by the gradient descend method after each iteration. Experimental results indicate that the proposed algorithm not only improves the quality of image reconstructed, but also increases the convergence speed of the iteration image.

Key words: iterative image reconstruction algorithm, compressed sensing, image total variation