Metal artifact suppression in terahertz computed tomography

Abstract

Metal artifact suppression in images of terahertz computed tomography is a bottleneck problem that hinders the development of this technique, and few studies have been conducted so far. In this paper, we propose a metal artifact suppression method containing 8 steps based on the idea of sinogram restoration. The method has been applied to the slice images of several metal objects and the effects before and after metal artifact suppression have been compared to verify the effectiveness of the method. And it provides a reliable reference for the subsequent solution of this problem.