In cone-beam computed tomography (CBCT), the presence of metal implants causes significant artifacts during imaging, leading to adverse effects on the clinical structure and information of the teeth. This results in reduced imaging quality and can ultimately impact subsequent clinical treatment. Despite numerous metal artifact reduction (MAR) methods available, they still fall short in preserving tooth structure. To address these challenges, our proposed MAR method integrates CBCT data with intra-oral scan data. This approach provides improved guidance for the segmentation of metal areas and enables the comprehensive utilization of projection domain and image domain data to effectively eliminate metal artifacts. Experimental results are presented to demonstrate the feasibility and effectiveness of our proposed approach, which notably introduces intraoral scan data for the first time in the analysis and processing of projection domain data. This advancement allows for the accurate reconstruction of 3D dental images, promising enhanced diagnostic and clinical applications.
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