CT Metal Artifact Reduction by Dual Constrained Optimizations

Abstract

The CT metal artifacts limit various applications of CT imaging, such as target delineation and accurate dose calculations in radiation therapy. Both interpolation-based algorithms and iterative algorithms have certain limitations in efficiently suppressing the artifacts. The purpose of this work is to develop an effective and robust iterative algorithm to minimize the metal artifacts and achieve clinically acceptable CT images.