Improved Contrastive Unpaired Translation for Metal Artifacts Reduction in Nasopharyngeal CT Images

Abstract

Metal artifacts (MA) reduction is crucial for clinical application yet often lacks paired training data. Learning MA reduction from unpaired data and enforcing fidelity seems a trade-off. The study proposed an improved contrastive unpaired translation solution to address the issues and demonstrate its efficacy.