Objective To investigate the removal of metal artifacts caused by different metal implants in different parts of the human body using dual-energy CT and to select the best method for metal artifacts reduction.Methods Forty-three patients with metal implants underwent dual-energy CT scans.Reconstructed images were obtained to produce eight sets of imaging data:conventional image(CI),120 keV,140 keV,160 keV,180 keV,200 keV,Orthopedic metal artifact reduction algorithm(O-MAR),200 keV+O-MAR.The optimal spectral monoenergetic images was selected based on the trend of changes in artifact index(AI)values with different keV monoenergetic images and subjective evaluation.One-way ANOVA was used to analyze and compare objective image evaluation indi-cators and subjective evaluations of image quality among different groups.The intraclass correlation coefficient(ICC)was used to evaluate the consistency and reliability of subjective evaluations of image quality among different observers.Results The AI values of differ-ent keV monoenergetic images showed a decreasing trend with increasing keV,and the virtual monoenergetic images at the 200 keV level had the smallest AI value.There were statistically significant differences in objective indicators for the removal of high-density artifacts and low-density artifacts among the groups(P＜0.05).Pairwise comparison showed statistical differences between CI and O-MAR,CI and O-MAR+200 keV,200 keV and O-MAR,200 keV and O-MAR+200 keV(P＜0.05),with O-MAR+200 keV demon-strating the best objective indicators.The ICC for subjective evaluation among different observers was 0.97％,and the ICC within observers was 0.91％.There were statistically significant differences in subjective image scores among the groups(P＜0.05),with the CI had the lowest score[(1.04±0.24)points]and the O-MAR+200 keV combination had the highest score[(4.57±0.78)points].Conclusion Dual-energy CT virtual monoenergetic 200 keV spectroscopy combined with O-MAR technique can be used as the best technique for removing metal implant artifacts and achieving better contrast in the surrounding soft tissue of prostheses.