AI RESEARCH
MGMAR: Metal-Guided Metal Artifact Reduction for X-ray Computed Tomography
arXiv CS.AI
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ArXi:2603.13447v1 Announce Type: cross An X-ray computed tomography (CT), metal artifact reduction (MAR) remains a major challenge because metallic implants violate standard CT forward-model assumptions, producing severe streaking and shadowing artifacts that degrade diagnostic quality. We propose MGMAR, a metal-guided MAR method that explicitly leverages metal-related information throughout the reconstruction pipeline. MGMAR first generates a high-quality prior image by