Current Science

Open Access Open Access  Restricted Access Subscription Access

Suppression of Metal Artefacts in CT Using Virtual Singorams and Corresponding MR Images


Affiliations
1 Department for Industrial Engineering and Management, University of Novi Sad, Trg Dositeja Obradovica 6, 21000, Novi Sad, Serbia
2 GE Healthcare, 53188, Waukesha, Wisconsin, United States
 

Medical imaging is invaluable when it comes to gaining insight into the human body. As is well known, medical images need to deal with artefacts. This article presents a modern procedure for metal artifact reduction in computed tomography, which relies on additional information extracted from corresponding magnetic resonance images. We conducted a simulation study so as to compare the resulting images with those corrected, using the baseline linear interpolation method. The outcome indicates that the proposed method incomparably outperforms the baseline and reduces metal artefacts, improving the quality of images, which can be later used in a clinical setting.

Keywords

Computed Tomography, Metal Artifact, Magnetic Resonance Imaging, Virtual Sonogram.
User
Notifications
Font Size

  • Blodgett, T. M., Meltzer, C. C. and Townsend, D. W., PET/CT: form and function. Radiology, 2007, 242, 360–385.

  • Townsend, D. W., Multimodality imaging of structure and function. Phys. Med. Biol., 2008, 53, R1–R39.

  • Eggers, G., Rieker, M., Kress, B., Fiebach, J., Dickhaus, H. and Hassfeld, S., Artefacts in magnetic resonance imaging caused by dental material. Magma, 2005, 18, 103–111.

  • Martinez-Moller, A. et al., Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: evaluation with PET/CT data. J. Nucl. Med., 2009, 50, 520–526.

  • Carl, M., Koch, K. and Du, J., MR imaging near metal with undersampled 3D radial UTE-MAVRIC sequences. Magn. Reson. Med., 2013, 69, 27–36.

  • Abdoli, M., Ay, M. R., Ahmadian, A. and Zaidi, H., A virtual sinogram method to reduce dental metallic implant artefacts in computed tomography-based attenuation correction for PET. Nucl. Med. Commun., 2010, 31, 22–31.

  • De Man, B., Nuyts, J., Dupont, P., Marchal, G. and Suetens, P., Metal streak artifacts in X-ray computed tomography: a simulation study. In IEEE Nuclear Science Symposium and Medical Imaging Conference, 1998, vol. 3, pp. 1860–1865.

  • Klinke, T., Daboul, A., Maron, J., Gredes, T., Puls, R., Jaghsi, A. and Biffar, R., Artifacts in magnetic resonance imaging and computed tomography caused by dental implants. PLoS ONE, 2012, 7, e31766.

  • Glover, G. H., An algorithm for the reduction of metal clip artifacts in CT reconstructions. Med. Phys., 1981, 8, 799.

  • Lewitt, R. M. and Bates, R. H. T., Image reconstruction from projections: III. Projection completion methods (theory). Optik, 1978, 50, 189–204.

  • Hinderling, T., Ruegsegger, P., Anliker, M. and Dietschi, C., Computed tomography reconstruction from hollow projections: an application to in vivo evaluation of artificial hip joints. J. Comp. Assist. Tomogr., 1979, 3, 52–57.

  • Kennedy, J. A., Israel, O., Frenkel, A., Bar-Shalom, R. and Azhari, H., The reduction of artifacts due to metal hip implants in CT-attenuation corrected PET images from hybrid PET/CT scanners. Med. Biol. Eng. Comput., 2007, 45, 553–562.

  • Lange, K. and Carson, R., EM reconstruction algorithms for emission and transmission tomography. J. Comput. Assist. Tomogr., 1984, 8, 306–316.

  • Wang, G., Snyder, D. L., O’Sullivan, J. A. and Vannier, M. W., Iterative deblurring for CT metal artifact reduction. IEEE Trans. Med. Imag, 1996, 15, 657–664.

  • Nuyts, J. and Stroobants, S., Reduction of attenuation correction artifacts in PET-CT. IEEE Nucl. Sci. Symp. Conf. Rec., 2005, 4, 1895–1899.

  • Anderla, A., Culibrk, D., Delso, G. and Mirkovic, M., MR image based approach for metal artifact reduction in X-ray CT. Sci. World J., 2013, 2013, 1–8.

  • Delso, G., Wollenweber, S., Lonn, A., Wiesinger, F. and VeitHaibach, P., MR-driven metal artifact reduction in PET/CT. Phys. Med. Biol., 2013, 58, 2267–2280.

  • Otsu, N., A threshold selection method from gray-level histograms. Automatica, 1975, 11, 23–27.

  • Katsevich, A., A general scheme for constructing inversion algorithms for cone beam CT. Int. J. Math. Math. Sci., 2003, 21, 1305–1321.

  • Zou, Y., and Pan, X., An extended data function and its generalized backprojection for image reconstruction in helical cone-beam CT. Phys. Med. Biol., 2004, 49, N383.

  • Hofmann, M., Pichler, B., Scholkopf, B. and Beyer, T., Towards quantitive PET/MRI: a review of MR-based attenuation correction techniques. Eur. J. Nucl. Med. Mol. Imag., 2009, 36, 93–104.

  • Catana, C. et al., Toward implementing an MRI-based PET attenuation-correction method for neurologic studies on the MR–PET brain prototype. J. Nucl. Med., 2014, 51, 1431–1438.

  • Veit-Haibach, P., Kuhn, F. P., Wiesinger, F., Delso, G. and von Schulthess, G., PET–MR imaging using a tri-modality PET/CT–MR system with a dedicated shuttle in clinical routine. Magma, 2013, 26, 25–35.

  • Samarin, A. et al., Image registration accuracy of a sequential, trimodality PET/CT plus MR imaging setup using dedicated patient transporter systems. Eur. J. Nucl. Med. Mol. Imag., 2011, 38, S220–S220.


Abstract Views: 315

PDF Views: 108




  • Suppression of Metal Artefacts in CT Using Virtual Singorams and Corresponding MR Images

Abstract Views: 315  |  PDF Views: 108

Authors

Andras Anderla
Department for Industrial Engineering and Management, University of Novi Sad, Trg Dositeja Obradovica 6, 21000, Novi Sad, Serbia
Srdjan Sladojevic
Department for Industrial Engineering and Management, University of Novi Sad, Trg Dositeja Obradovica 6, 21000, Novi Sad, Serbia
Gaspar Delso
GE Healthcare, 53188, Waukesha, Wisconsin, United States
Dubravko Culibrk
Department for Industrial Engineering and Management, University of Novi Sad, Trg Dositeja Obradovica 6, 21000, Novi Sad, Serbia
Milan Mirkovic
Department for Industrial Engineering and Management, University of Novi Sad, Trg Dositeja Obradovica 6, 21000, Novi Sad, Serbia
Darko Stefanovic
Department for Industrial Engineering and Management, University of Novi Sad, Trg Dositeja Obradovica 6, 21000, Novi Sad, Serbia

Abstract


Medical imaging is invaluable when it comes to gaining insight into the human body. As is well known, medical images need to deal with artefacts. This article presents a modern procedure for metal artifact reduction in computed tomography, which relies on additional information extracted from corresponding magnetic resonance images. We conducted a simulation study so as to compare the resulting images with those corrected, using the baseline linear interpolation method. The outcome indicates that the proposed method incomparably outperforms the baseline and reduces metal artefacts, improving the quality of images, which can be later used in a clinical setting.

Keywords


Computed Tomography, Metal Artifact, Magnetic Resonance Imaging, Virtual Sonogram.

References





DOI: https://doi.org/10.18520/cs%2Fv112%2Fi07%2F1505-1511