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Combined application of virtual monoenergetic high keV images and the orthopedic metal artifact reduction algorithm (O-MAR): effect on image quality

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Abstract

Purpose

To determine whether there is any additional metal artifact reduction when virtual monochromatic images (VMI) and metal artifact reduction for orthopedic implants (O-MAR) are applied together compared to their separate application in both phantom and clinical abdominopelvic CT studies.

Methods

An agar phantom containing a spinal prosthesis was scanned using a dual-layer, energy CT scanner (IQon, Philips Healthcare), and reconstructed with the filtered back-projection algorithm without O-MAR (FBP), filtered back-projection algorithm with O-MAR (O-MAR), VMI140 without O-MAR (VMI140), and VMI140 with O-MAR (VMI140 + O-MAR). Abdominopelvic CT images of 47 patients with metallic prostheses were also reconstructed in the same manner for clinical study. Noise measured as the standard deviation of CT Hounsfield units was compared between the four reconstruction methods in both phantom and clinical studies. Improvements in metal artifact reduction, image quality, and diagnostic improvement were further analyzed in the clinical study.

Results

Noise was significantly decreased when both VMI and O-MAR were applied in conjunction compared to their separate application in both phantom (16.3 HU vs. 25.0 and 26.4 HU) and clinical studies (15.8 HU vs. 19.2 and 26.2 HU). In the clinical study, the qualitative degree of artifacts was also significantly reduced with VMI140 + O-MAR (2.85 and 2.87) compared to VMI140 (2.36 and 2.26) or O-MAR (2.13 and 2.04) alone for both reviewers (P < 0.001) and improvements in image quality were observed in all 47 patients, with actual diagnostic improvements observed in three.

Conclusions

Metal artifacts can be additionally reduced by applying O-MAR and VMI in conjunction, compared to their separate application, thereby improving diagnostic performance.

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References

  1. Bamberg F, Dierks A, Nikolaou K, et al. (2011) Metal artifact reduction by dual energy computed tomography using monoenergetic extrapolation. Eur Radiol 21(7):1424–1429

    Article  PubMed  Google Scholar 

  2. Barrett JF, Keat N (2004) Artifacts in CT: recognition and avoidance. Radiographics 24(6):1679–1691

    Article  PubMed  Google Scholar 

  3. Van Gompel G, Van Slambrouck K, Defrise M, et al. (2011) Iterative correction of beam hardening artifacts in CT. Med Phys 38(Suppl 1):S36

    Article  PubMed  Google Scholar 

  4. Mori I, Machida Y, Osanai M, Iinuma K (2013) Photon starvation artifacts of X-ray CT: their true cause and a solution. Radiol Phys Technol 6(1):130–141

    Article  PubMed  Google Scholar 

  5. Wang G, Vannier MW, Cheng PC (1999) Iterative X-ray cone-beam tomography for metal artifact reduction and local region reconstruction. Microsc Microanal 5(1):58–65

    Article  PubMed  CAS  Google Scholar 

  6. Wang G, Snyder DL, O’Sullivan JA, Vannier MW (1996) Iterative deblurring for CT metal artifact reduction. IEEE Trans Med Imaging 15(5):657–664

    Article  PubMed  CAS  Google Scholar 

  7. Kidoh M, Nakaura T, Nakamura S, et al. (2014) Reduction of dental metallic artefacts in CT: value of a newly developed algorithm for metal artefact reduction (O-MAR). Clin Radiol 69(1):e11–e16

    Article  PubMed  CAS  Google Scholar 

  8. Morsbach F, Wurnig M, Kunz DM, et al. (2013) Metal artefact reduction from dental hardware in carotid CT angiography using iterative reconstructions. Eur Radiol 23(10):2687–2694

    Article  PubMed  Google Scholar 

  9. Hsieh J, Molthen RC, Dawson CA, Johnson RH (2000) An iterative approach to the beam hardening correction in cone beam CT. Med Phys 27(1):23–29

    Article  PubMed  CAS  Google Scholar 

  10. Meinel FG, Bischoff B, Zhang Q, et al. (2012) Metal artifact reduction by dual-energy computed tomography using energetic extrapolation: a systematically optimized protocol. Invest Radiol 47(7):406–414

    Article  PubMed  Google Scholar 

  11. Yu L, Leng S, McCollough CH (2012) Dual-energy CT-based monochromatic imaging. AJR Am J Roentgenol 199(5 Suppl):S9–S15

    Article  PubMed  Google Scholar 

  12. Zhou C, Zhao YE, Luo S, et al. (2011) Monoenergetic imaging of dual-energy CT reduces artifacts from implanted metal orthopedic devices in patients with factures. Acad Radiol 18(10):1252–1257

    Article  PubMed  Google Scholar 

  13. Pessis E, Campagna R, Sverzut JM, et al. (2013) Virtual monochromatic spectral imaging with fast kilovoltage switching: reduction of metal artifacts at CT. Radiographics 33(2):573–583

    Article  PubMed  Google Scholar 

  14. An C, Chun YM, Kim S, et al. (2014) Dual-energy computed tomography arthrography of the shoulder joint using virtual monochromatic spectral imaging: optimal dose of contrast agent and monochromatic energy level. Korean J Radiol 15(6):746–756

    Article  PubMed  PubMed Central  Google Scholar 

  15. Hu Y, Pan S, Zhao X, et al. (2017) Value and clinical application of orthopedic metal artifact reduction algorithm in CT scans after orthopedic metal implantation. Korean J Radiol 18(3):526–535

    Article  PubMed  PubMed Central  Google Scholar 

  16. Shim E, Kang Y, Ahn JM, et al. (2017) Metal artifact reduction for orthopedic implants (O-MAR): usefulness in CT evaluation of reverse total shoulder arthroplasty. AJR Am J Roentgenol 209(4):860–866

    Article  PubMed  Google Scholar 

  17. Jeong S, Kim SH, Hwang EJ, et al. (2015) Usefulness of a metal artifact reduction algorithm for orthopedic implants in abdominal CT: phantom and clinical study results. AJR Am J Roentgenol 204(2):307–317

    Article  PubMed  Google Scholar 

  18. Huang JY, Kerns JR, Nute JL, et al. (2015) An evaluation of three commercially available metal artifact reduction methods for CT imaging. Phys Med Biol 60(3):1047–1067

    Article  PubMed  PubMed Central  Google Scholar 

  19. Winklhofer S, Benninger E, Spross C, et al. (2014) CT metal artefact reduction for internal fixation of the proximal humerus: value of mono-energetic extrapolation from dual-energy and iterative reconstructions. Clin Radiol 69(5):e199–e206

    Article  PubMed  CAS  Google Scholar 

  20. Higashigaito K, Angst F, Runge VM, Alkadhi H, Donati OF (2015) Metal artifact reduction in pelvic computed tomography with hip prostheses: comparison of virtual monoenergetic extrapolations from dual-energy computed tomography and an iterative metal artifact reduction algorithm in a phantom study. Invest Radiol 50(12):828–834

    Article  PubMed  Google Scholar 

  21. Wang Y, Qian B, Li B, et al. (2013) Metal artifacts reduction using monochromatic images from spectral CT: evaluation of pedicle screws in patients with scoliosis. Eur J Radiol 82(8):e360–e366

    Article  PubMed  Google Scholar 

  22. Wilson JM, Christianson OI, Richard S, Samei E (2013) A methodology for image quality evaluation of advanced CT systems. Med Phys 40(3):031908

    Article  PubMed  Google Scholar 

  23. Philips Healthcare (2012) Metal artifact reduction for orthopedic implants (O-MAR). http://clinical.netforum.healthcare.philips.com/us_en/Explore/White-Papers/CT/Metal-Artifact-Reduction-for-Orthopedic-Implants-(O-MAR). Accessed 21 Feb 2018

  24. Koehler T, Brendel B, Brown KM (2012) A new method for metal artifact reduction in CT. In: The International Conference in X-ray computed tomography. http://repository.tudelft.nl/assets/uuid:22d5815d-dcfe-48df-93a4-9d1c4e8e85fc/MS-33.229.pdf. Accessed 21 Feb 2018

  25. Andersson KM, Nowik P, Persliden J, Thunberg P, Norrman E (2015) Metal artefact reduction in CT imaging of hip prostheses—an evaluation of commercial techniques provided by four vendors. Br J Radiol 88(1052):20140473

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  26. Andersson KM, Norrman E, Geijer H, et al. (2016) Visual grading evaluation of commercially available metal artefact reduction techniques in hip prosthesis computed tomography. Br J Radiol 89(1063):20150993

    Article  PubMed  Google Scholar 

  27. Han SC, Chung YE, Lee YH, et al. (2014) Metal artifact reduction software used with abdominopelvic dual-energy CT of patients with metal hip prostheses: assessment of image quality and clinical feasibility. AJR Am J Roentgenol 203(4):788–795

    Article  PubMed  Google Scholar 

  28. Matsumoto K, Jinzaki M, Tanami Y, et al. (2011) Virtual monochromatic spectral imaging with fast kilovoltage switching: improved image quality as compared with that obtained with conventional 120 kVp CT. Radiology 259(1):257–262

    Article  PubMed  Google Scholar 

  29. Brook OR, Gourtsoyianni S, Brook A, et al. (2013) Split-bolus spectral multidetector CT of the pancreas: assessment of radiation dose and tumor conspicuity. Radiology 269(1):139–148

    Article  PubMed  Google Scholar 

  30. Christner JA, Kofler JM, McCollough CH (2010) Estimating effective dose for CT using dose-length product compared with using organ doses: consequences of adopting International Commission on Radiological Protection publication 103 or dual-energy scanning. AJR Am J Roentgenol 194(4):881–889

    Article  PubMed  Google Scholar 

  31. Albert JM (2013) Radiation risk from CT: implications for cancer screening. AJR Am J Roentgenol 201(1):W81–W87

    Article  PubMed  Google Scholar 

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Correspondence to Se Hyung Kim.

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Funding

This study was supported by Philips Health Systems Korea.

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. For this type of study formal consent is not required.

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Park, J., Kim, S.H. & Han, J.K. Combined application of virtual monoenergetic high keV images and the orthopedic metal artifact reduction algorithm (O-MAR): effect on image quality. Abdom Radiol 44, 756–765 (2019). https://doi.org/10.1007/s00261-018-1748-0

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  • DOI: https://doi.org/10.1007/s00261-018-1748-0

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