For decades, computed tomography (CT) images have been widely used to discover valuable anatomical information. Metallic\nimplants such as dental fillings cause severe streaking artifacts which significantly degrade the quality of CT images. In this paper,\nwe propose a new method for metal-artifact reduction using complementary magnetic resonance (MR) images. The method\nexploits the possibilities which arise from the use of emergent trimodality systems.The proposed algorithm corrects reconstructed\nCT images. The projected data which is affected by dental fillings is detected and the missing projections are replaced with data\nobtained from a corresponding MR image. A simulation study was conducted in order to compare the reconstructed images with\nimages reconstructed through linear interpolation, which is a common metal-artifact reduction technique.The results show that\nthe proposedmethod is successful in reducing severe metal artifacts without introducing significant amount of secondary artifacts.
Loading....