Metal Streak Analysis with different Acquisition Settings in Postoperative Spine Imaging: A Phantom Study
CT assessment of postoperative spine is challenging in the presence of metal streak artifacts that could deteriorate the
quality of CT images. In this paper, we studied the influence of different acquisition parameters on the magnitude of metal streaking.
A water-bath phantom was constructed with metal insertion similar with postoperative spine assessment. The phantom was scanned with
different acquisition settings and acquired data were reconstructed
using various reconstruction settings. Standardized ROIs were defined within streaking region for image analysis. The result shows
increased kVp and mAs enhanced SNR values by reducing image
noise. Sharper kernel enhanced image quality compared to smooth
kernel, but produced more noise in the images with higher CT fluctuation. The noise between both kernels were significantly
different (P <0.05) with increment of noise in the bone kernel images
(mean difference = 54.78). The technical settings should be selected appropriately to attain the acceptable image quality with the best
diagnostic value.
[1] E.E. Rutherford, L.J. Tarplett, E.M. Davies, J.M. Harley, L.J. King, "Lumbar spine fusion and stabilization: Hardware, techniques, and imaging appearances," Radiographics. Vol. 27 (6), pp. 1737 - 1749, 2007.
[2] A. C. Douglas-Akinwande, K. A. Buckwalter, J. Rydberg, J. L. Rankin, R. H. Choplin, "Multichannel CT: Evaluating the spine in postoperative patients with orthopedic hardware," Radiographics. Vol. 26, pp. S97-S110, 2006.
[3] V.W. Lin, C.M. Bono, D.D. Cardenas, et. al, "Spinal cord medicine: principles and practice," 2nd ed., New York: Demos Medical Publishing, 2010, ch.3, pp. 34-45.
[4] D.D.Robertson, P.J.Weiss, E.K. Fishman, D.Magid, and P.S. Walker, "Evaluation of CT techniques for reducing artifacts in the presence of
metallic orthopedic implants," J. of Compt. Assist. Tomogr., Vol.12, p.236-241, 1988.
[5] J.F. Barret and N. Keat, "Artifacts in CT: Recognition and Avoidance,"
RadioGraphics, vol. 24, pp. 1679-1691, 2004.
[6] M. Yazdi and L. Beaulieu, "Artifacts in spiral x-ray CT scanners: Problems and Solutions," World Acad of Sci and Tech, vol. 35, p.96-100, 2007.
[7] M.J. Lee, S. Kim, S.A. Lee, H.T. Song, Y.M. Huh, D.H. Kim, S.H. Han,
and J.S. Suh, "Overcoming Artifacts from Metallic Orthopedic Implants
at High-Field-Strength MR Imaging and Multidetector CT," RadioGraphics, vol. 27, pp. 791-803, 2007.
[8] P. Stradiotti, A. Curti, G. Castellazzi, and A. Zerbi, "Metal-related
artifacts in instrumented spine. Techniques for reducing artifacts in CT
and MRI: state of the art," Eur Spine J, vol.18, p.S102-S108, 2009.
[9] M.L. Kataoka, M.G. Hochman, E.K. Rodriguez, P.P.Lin, S. Kubo, and
V.D. Raptopolous, "A Review of Factors That Affect Artifact From
Metallic Hardware on Multi-Row Detector Computed Tomography,"
Curr Probl Diagn Radiol, vol.39, pp.125-136, 2010.
[10] W. A. Kalendar, "Computed Tomography: Fundamentals, System
Technology, Image Quality, Applications," Munich, Germany: Publicis
MCD, Verlag, 2000.
[11] J. Paul, B. Krauss, R. Banckwitz, W. Maentele, R.W. Bauer, T.J. Vogl,
"Relationship of clinical protocols and reconstruction kernels with image quality and radiation dose in a 128-slice CT scanner: Study with
an antromorphic and water phantom," Eur. J. of Radiology, in press
(doi:10.1016/j.ejrad.2011.01.078),
[12] I. Kassim, H. Joosten, J.C. Barnhoorn, B.J.M. Heijmen, and M.L.P.
Dirkx, "Implications of artefacts reduction in the planning CT
originating from implanted fiducial markers," Med.Dosimetry, in press
(doi: 10.1016/j.meddos.2010.02.002).
[1] E.E. Rutherford, L.J. Tarplett, E.M. Davies, J.M. Harley, L.J. King, "Lumbar spine fusion and stabilization: Hardware, techniques, and imaging appearances," Radiographics. Vol. 27 (6), pp. 1737 - 1749, 2007.
[2] A. C. Douglas-Akinwande, K. A. Buckwalter, J. Rydberg, J. L. Rankin, R. H. Choplin, "Multichannel CT: Evaluating the spine in postoperative patients with orthopedic hardware," Radiographics. Vol. 26, pp. S97-S110, 2006.
[3] V.W. Lin, C.M. Bono, D.D. Cardenas, et. al, "Spinal cord medicine: principles and practice," 2nd ed., New York: Demos Medical Publishing, 2010, ch.3, pp. 34-45.
[4] D.D.Robertson, P.J.Weiss, E.K. Fishman, D.Magid, and P.S. Walker, "Evaluation of CT techniques for reducing artifacts in the presence of
metallic orthopedic implants," J. of Compt. Assist. Tomogr., Vol.12, p.236-241, 1988.
[5] J.F. Barret and N. Keat, "Artifacts in CT: Recognition and Avoidance,"
RadioGraphics, vol. 24, pp. 1679-1691, 2004.
[6] M. Yazdi and L. Beaulieu, "Artifacts in spiral x-ray CT scanners: Problems and Solutions," World Acad of Sci and Tech, vol. 35, p.96-100, 2007.
[7] M.J. Lee, S. Kim, S.A. Lee, H.T. Song, Y.M. Huh, D.H. Kim, S.H. Han,
and J.S. Suh, "Overcoming Artifacts from Metallic Orthopedic Implants
at High-Field-Strength MR Imaging and Multidetector CT," RadioGraphics, vol. 27, pp. 791-803, 2007.
[8] P. Stradiotti, A. Curti, G. Castellazzi, and A. Zerbi, "Metal-related
artifacts in instrumented spine. Techniques for reducing artifacts in CT
and MRI: state of the art," Eur Spine J, vol.18, p.S102-S108, 2009.
[9] M.L. Kataoka, M.G. Hochman, E.K. Rodriguez, P.P.Lin, S. Kubo, and
V.D. Raptopolous, "A Review of Factors That Affect Artifact From
Metallic Hardware on Multi-Row Detector Computed Tomography,"
Curr Probl Diagn Radiol, vol.39, pp.125-136, 2010.
[10] W. A. Kalendar, "Computed Tomography: Fundamentals, System
Technology, Image Quality, Applications," Munich, Germany: Publicis
MCD, Verlag, 2000.
[11] J. Paul, B. Krauss, R. Banckwitz, W. Maentele, R.W. Bauer, T.J. Vogl,
"Relationship of clinical protocols and reconstruction kernels with image quality and radiation dose in a 128-slice CT scanner: Study with
an antromorphic and water phantom," Eur. J. of Radiology, in press
(doi:10.1016/j.ejrad.2011.01.078),
[12] I. Kassim, H. Joosten, J.C. Barnhoorn, B.J.M. Heijmen, and M.L.P.
Dirkx, "Implications of artefacts reduction in the planning CT
originating from implanted fiducial markers," Med.Dosimetry, in press
(doi: 10.1016/j.meddos.2010.02.002).
@article{"International Journal of Medical, Medicine and Health Sciences:51394", author = "N. D. Osman and M. S. Salikin and M. I. Saripan", title = "Metal Streak Analysis with different Acquisition Settings in Postoperative Spine Imaging: A Phantom Study", abstract = "CT assessment of postoperative spine is challenging in the presence of metal streak artifacts that could deteriorate the
quality of CT images. In this paper, we studied the influence of different acquisition parameters on the magnitude of metal streaking.
A water-bath phantom was constructed with metal insertion similar with postoperative spine assessment. The phantom was scanned with
different acquisition settings and acquired data were reconstructed
using various reconstruction settings. Standardized ROIs were defined within streaking region for image analysis. The result shows
increased kVp and mAs enhanced SNR values by reducing image
noise. Sharper kernel enhanced image quality compared to smooth
kernel, but produced more noise in the images with higher CT fluctuation. The noise between both kernels were significantly
different (P ", keywords = "Computed tomography, metal streak, noise, CT fluctuation.", volume = "6", number = "5", pages = "129-5", }