title: MR image based approach for metal artifact reduction in X-ray CT.
abstract: 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.
authors.affiliation: Department of Industrial Engineering and Management, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 7, 21000 Novi Sad, Serbia.
authors.forename: Andras
authors.initials: A
authors.lastname: Anderla
authors.forename: Dubravko
authors.initials: D
authors.lastname: Culibrk
authors.forename: Gaspar
authors.initials: G
authors.lastname: Delso
authors.forename: Milan
authors.initials: M
authors.lastname: Mirkovic
mesh_terms: D016477:Artifacts; D003793:Dental Restoration, Permanent / Q000009:adverse effects; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008670:Metals; D059906:Neuroimaging / Q000379:methods; D011856:Radiographic Image Enhancement / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000379:methods*
chemical_list: D008670:Metals