DOI QR코드

DOI QR Code

Comparison of the Quality of Various Polychromatic and Monochromatic Dual-Energy CT Images with or without a Metal Artifact Reduction Algorithm to Evaluate Total Knee Arthroplasty

  • Hye Jung Choo (Department of Radiology, Inje University Busan Paik Hospital) ;
  • Sun Joo Lee (Department of Radiology, Inje University Busan Paik Hospital) ;
  • Dong Wook Kim (Department of Radiology, Inje University Busan Paik Hospital) ;
  • Yoo Jin Lee (Department of Radiology, Inje University Busan Paik Hospital) ;
  • Jin Wook Baek (Department of Radiology, Inje University Busan Paik Hospital) ;
  • Ji-yeon Han (Department of Radiology, Inje University Busan Paik Hospital) ;
  • Young Jin Heo (Department of Radiology, Inje University Busan Paik Hospital)
  • Received : 2020.04.29
  • Accepted : 2021.02.05
  • Published : 2021.08.01

Abstract

Objective: To compare the quality of various polychromatic and monochromatic images with or without using an iterative metal artifact reduction algorithm (iMAR) obtained from a dual-energy computed tomography (CT) to evaluate total knee arthroplasty. Materials and Methods: We included 58 patients (28 male and 30 female; mean age [range], 71.4 [61-83] years) who underwent 74 knee examinations after total knee arthroplasty using dual-energy CT. CT image sets consisted of polychromatic image sets that linearly blended 80 kVp and tin-filtered 140 kVp using weighting factors of 0.4, 0, and -0.3, and monochromatic images at 130, 150, 170, and 190 keV. These image sets were obtained with and without applying iMAR, creating a total of 14 image sets. Two readers qualitatively ranked the image quality (1 [lowest quality] through 14 [highest quality]). Volumes of high- and low-density artifacts and contrast-to-noise ratios (CNRs) between the bone and fat tissue were quantitatively measured in a subset of 25 knees unaffected by metal artifacts. Results: iMAR-applied, polychromatic images using weighting factors of -0.3 and 0.0 (P-0.3i and P0.0i, respectively) showed the highest image-quality rank scores (median of 14 for both by one reader and 13 and 14, respectively, by the other reader; p < 0.001). All iMAR-applied image series showed higher rank scores than the iMAR-unapplied ones. The smallest volumes of low-density artifacts were found in P-0.3i, P0.0i, and iMAR-applied monochromatic images at 130 keV. The smallest volumes of high-density artifacts were noted in P-0.3i. The CNRs were best in polychromatic images using a weighting factor of 0.4 with or without iMAR application, followed by polychromatic images using a weighting factor of 0.0 with or without iMAR application. Conclusion: Polychromatic images combined with iMAR application, P-0.3i and P0.0i, provided better image qualities and substantial metal artifact reduction compared with other image sets.

Keywords

References

  1. Khodarahmi I, Fishman EK, Fritz J. Dedicated CT and MRI techniques for the evaluation of the postoperative knee. Semin Musculoskelet Radiol 2018;22:444-456 
  2. Katsura M, Sato J, Akahane M, Kunimatsu A, Abe O. Current and novel techniques for metal artifact reduction at CT: practical guide for radiologists. Radiographics 2018;38:450-461 
  3. Barrett JF, Keat N. Artifacts in CT: recognition and avoidance. Radiographics 2004;24:1679-1691 
  4. Wellenberg RHH, Hakvoort ET, Slump CH, Boomsma MF, Maas M, Streekstra GJ. Metal artifact reduction techniques in musculoskeletal CT-imaging. Eur J Radiol 2018;107:60-69 
  5. Guggenberger R, Winklhofer S, Osterhoff G, Wanner GA, Fortunati M, Andreisek G, et al. Metallic artefact reduction with monoenergetic dual-energy CT: systematic ex vivo evaluation of posterior spinal fusion implants from various vendors and different spine levels. Eur Radiol 2012;22:2357-2364 
  6. Yoo HJ, Hong SH, Chung BM, Moon SJ, Choi JY, Chae HD, et al. Metal artifact reduction in virtual monoenergetic spectral dual-energy CT of patients with metallic orthopedic implants in the distal radius. AJR Am J Roentgenol 2018;211:1083-1091 
  7. Lewis M, Reid K, Toms AP. Reducing the effects of metal artefact using high keV monoenergetic reconstruction of dual energy CT (DECT) in hip replacements. Skeletal Radiol 2013;42:275-282 
  8. Bolstad K, Flatabo S, Aadnevik D, Dalehaug I, Vetti N. Metal artifact reduction in CT, a phantom study: subjective and objective evaluation of four commercial metal artifact reduction algorithms when used on three different orthopedic metal implants. Acta Radiol 2018;59:1110-1118 
  9. Bongers MN, Schabel C, Thomas C, Raupach R, Notohamiprodjo M, Nikolaou K, et al. Comparison and combination of dual-energy-and iterative-based metal artefact reduction on hip prosthesis and dental implants. PLoS One 2015;10:e0143584 
  10. Khodarahmi I, Haroun RR, Lee M, Fung GSK, Fuld MK, Schon LC, et al. Metal artifact reduction computed tomography of arthroplasty implants: effects of combined modeled iterative reconstruction and dual-energy virtual monoenergetic extrapolation at higher photon energies. Invest Radiol 2018;53:728-735 
  11. Laukamp KR, Zopfs D, Lennartz S, Pennig L, Maintz D, Borggrefe J, et al. Metal artifacts in patients with large dental implants and bridges: combination of metal artifact reduction algorithms and virtual monoenergetic images provides an approach to handle even strongest artifacts. Eur Radiol 2019;29:4228-4238 
  12. Long Z, DeLone DR, Kotsenas AL, Lehman VT, Nagelschneider AA, Michalak GJ, et al. Clinical assessment of metal artifact reduction methods in dual-energy CT examinations of instrumented spines. AJR Am J Roentgenol 2019;212:395-401 
  13. Neuhaus V, Grosse Hokamp N, Zopfs D, Laukamp K, Lennartz S, Abdullayev N, et al. Reducing artifacts from total hip replacements in dual layer detector CT: combination of virtual monoenergetic images and orthopedic metal artifact reduction. Eur J Radiol 2019;111:14-20 
  14. Graser A, Johnson TR, Chandarana H, Macari M. Dual energy CT: preliminary observations and potential clinical applications in the abdomen. Eur Radiol 2009;19:13-23 
  15. Kim KS, Lee JM, Kim SH, Kim KW, Kim SJ, Cho SH, et al. Image fusion in dual energy computed tomography for detection of hypervascular liver hepatocellular carcinoma: phantom and preliminary studies. Invest Radiol 2010;45:149-157 
  16. Behrendt FF, Schmidt B, Plumhans C, Keil S, Woodruff SG, Ackermann D, et al. Image fusion in dual energy computed tomography: effect on contrast enhancement, signal-to-noise ratio and image quality in computed tomography angiography. Invest Radiol 2009;44:1-6 
  17. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33:159-174 
  18. Primak AN, Ramirez Giraldo JC, Liu X, Yu L, McCollough CH. Improved dual-energy material discrimination for dual-source CT by means of additional spectral filtration. Med Phys 2009;36:1359-1369 
  19. Zhou W, Bartlett DJ, Diehn FE, Glazebrook KN, Kotsenas AL, Carter RE, et al. Reduction of metal artifacts and improvement in dose efficiency using photon-counting detector computed tomography and tin filtration. Invest Radiol 2019;54:204-211