TY - JOUR ID - 81165 TI - Reduction of Metal Artifact in Dental Computed Tomography by Homomorphic Wavelet Filtering in Sinogram Domain JO - Iranica Journal of Energy & Environment JA - IJEE LA - en SN - 2079-2115 AU - Hassanpour, H. AU - Ebadi, R. AU - Zehtabian, A. AU - Amiri, Z. AD - Faculty of Computer Engineering, Shahrood University of Technology, Shahrood, Iran AD - Institute for Chemistry and Biochemistry, Free University of Berlin, Berlin, Germany Y1 - 2018 PY - 2018 VL - 9 IS - 4 SP - 263 EP - 270 KW - Metal artifact reduction KW - Illumination-reflectance model KW - Homomorphic wavelet filtering KW - Sinogram domain KW - Dental X-ray images DO - 10.5829/ijee.2018.09.04.06 N2 - In X-ray computed tomography (CT), existence of metallic implants in the subject may corrupt images and produce dark and bright streaking artifacts. In this paper a new method for reducing metal artifact from dental X-ray CT images is introduced. In the proposed method, the Radon transform is used in order to project the CT data into the sinogram domain. The sinogram of data can be decomposed into its illumination and reflectance components by using the homomorphic wavelet filtering. The investigation of the CT images shows that the degradations caused by metallic artifacts appear mainly in the illumination component. Therefore, in our approach the corrupted illumination component is restored by using the apriori information driven from the previous artifact-free sections. The results show that the metal artifacts are considerably reduced without eliminating the important details of the CT images. The proposed method is also compared with other existing methods on a set of dental CT images. Comparisons show the superiority of the proposed method over other existing methods. UR - https://www.ijee.net/article_81165.html L1 - https://www.ijee.net/article_81165_1d6c636419b494555397015e366d368d.pdf ER -