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The Scientific World Journal
Volume 2013 (2013), Article ID 524243, 8 pages
Research Article

MR Image Based Approach for Metal Artifact Reduction in X-Ray CT

1Department of Industrial Engineering and Management, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 7, 21000 Novi Sad, Serbia
2Department of Medical Imaging, University Hospital, Rämistrasse 100, 8091 Zürich, Switzerland

Received 29 August 2013; Accepted 25 September 2013

Academic Editors: C. Kappas and C. S. Morris

Copyright © 2013 Andras Anderla et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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