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

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.

[1]  H. Tuy.  A post-processing algorithm to reduce metallic clip artifacts in CT images , 1993, European Radiology.

[2]  Victor J. Sank,et al.  IMAGE RECONSTRUCTION FROM PROJECTIONS: ***I , 1978 .

[3]  K. Lange,et al.  EM reconstruction algorithms for emission and transmission tomography. , 1984, Journal of computer assisted tomography.

[4]  Lin Cheng,et al.  Metal Artifacts Reduction in Computed Tomography: A Bilateral Reprojection Approach , 2010, 2010 4th International Conference on Bioinformatics and Biomedical Engineering.

[5]  Habib Zaidi,et al.  Metal artifact reduction strategies for improved attenuation correction in hybrid PET/CT imaging. , 2012, Medical physics.

[6]  N J Pelc,et al.  Nonlinear partial volume artifacts in x-ray computed tomography. , 1980, Medical physics.

[7]  D E Raeside,et al.  A pattern recognition method for the removal of streaking artifact in computed tomography. , 1981, Radiology.

[8]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

[9]  Jiang Du,et al.  MR imaging near metal with undersampled 3D radial UTE‐MAVRIC sequences , 2013, Magnetic resonance in medicine.

[10]  Nassir Navab,et al.  Tissue Classification as a Potential Approach for Attenuation Correction in Whole-Body PET/MRI: Evaluation with PET/CT Data , 2009, Journal of Nuclear Medicine.

[11]  G. Glover,et al.  An algorithm for the reduction of metal clip artifacts in CT reconstructions. , 1981, Medical physics.

[12]  Naoki Kusumoto,et al.  A novel method of removing artifacts because of metallic dental restorations in 3-D CT images of jaw bone. , 2005, Clinical oral implants research.

[13]  J. Nuyts,et al.  Reduction of attenuation correction artifacts in PET-CT , 2005, IEEE Nuclear Science Symposium Conference Record, 2005.

[14]  Kenneth M. Hanson,et al.  Noise and Contrast Discrimination in Computed Tomography , 1981 .

[15]  W. Marsden.  I and J , 2012 .

[16]  F. Tsai.  Radiology of the skull and brain, technical aspects of computed tomography , 1981 .

[17]  Gary H. Glover,et al.  An algorithm for the reduction of metal clip artifacts in CT reconstructions. , 1981 .

[18]  D W. Townsend,et al.  Combined PET/CT Imaging in Oncology. Impact on Patient Management. , 2000, Clinical positron imaging : official journal of the Institute for Clinical P.E.T.

[19]  Chye Hwang Yan,et al.  Reconstruction algorithm for polychromatic CT imaging: application to beam hardening correction , 2000, IEEE Transactions on Medical Imaging.

[20]  G H Glover,et al.  Compton scatter effects in CT reconstructions. , 1983, Medical physics.

[21]  P. Rüegsegger,et al.  Computed Tomography Reconstruction from Hollow Projections: An Application to In Vivo Evaluation of Artificial Hip Joints , 1979, Journal of computer assisted tomography.

[22]  Joseph A. O'Sullivan,et al.  Iterative deblurring for CT metal artifact reduction , 1996, IEEE Trans. Medical Imaging.

[23]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[24]  G. Delso,et al.  PET–MR imaging using a tri-modality PET/CT–MR system with a dedicated shuttle in clinical routine , 2013, Magnetic Resonance Materials in Physics, Biology and Medicine.

[25]  Ciprian Catana,et al.  Toward Implementing an MRI-Based PET Attenuation-Correction Method for Neurologic Studies on the MR-PET Brain Prototype , 2010, The Journal of Nuclear Medicine.

[26]  Haim Azhari,et al.  The reduction of artifacts due to metal hip implants in CT-attenuation corrected PET images from hybrid PET/CT scanners , 2007, Medical & Biological Engineering & Computing.

[27]  Wang,et al.  Iterative X-ray Cone-Beam Tomography for Metal Artifact Reduction and Local Region Reconstruction , 1999, Microscopy and Microanalysis.

[28]  B. Schölkopf,et al.  Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques , 2009, European Journal of Nuclear Medicine and Molecular Imaging.

[29]  Hartmut Dickhaus,et al.  Artefacts in magnetic resonance imaging caused by dental material , 2005, Magnetic Resonance Materials in Physics, Biology and Medicine.

[30]  C. Meltzer,et al.  PET/CT: form and function. , 2007, Radiology.

[31]  G Delso,et al.  MR-driven metal artifact reduction in PET/CT , 2013, Physics in medicine and biology.

[32]  Paul Kinahan,et al.  Attenuation correction for a combined 3D PET/CT scanner. , 1998, Medical physics.