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Comparative Evaluation of Metal Artifact Reduction Algorithms in Computed Tomography: Siemens iMAR vs. GE MARS for Improved Radiotherapy Planning Cover

Comparative Evaluation of Metal Artifact Reduction Algorithms in Computed Tomography: Siemens iMAR vs. GE MARS for Improved Radiotherapy Planning

Open Access
|Aug 2025

References

  1. Giantsoudi D, De Man B, Verburg J, et al. Metal artifacts in computed tomography for radiation therapy planning: dosimetric effects and impact of metal artifact reduction. Phys Med Biol. 2017;62(8)-R80. doi: 10.1088/1361-6560/aa5293
  2. Puvanasunthararajah S, Fontanarosa D, Wille ML, et al. The application of metal artifact reduction methods on computed tomography scans for radiotherapy applications: A literature review. J Appl Clin Med Phys. 2021;22(6):198-223. doi: 10.1002/acm2.13255
  3. Gnanasambandam A, Raj NAN, Sollinselvan K. Effects of metal implants and validation of four treatment planning methods used for radiotherapy dose calculation. Rep Pract Oncol Radiother. 2022;27(5):821-831. doi: 10.5603/RPOR.a2022.0098
  4. Schwahofer A, Bär E, Kuchenbecker S, et al. The application of metal artifact reduction (MAR) in CT scans for radiation oncology by monoenergetic extrapolation with a DECT scanner. Z Med Phys. 2015;25(4):314-325. doi: 10.1016/j.zemedi.2015.05.004
  5. Kim C, Pua R, Lee CH, et al. An additional tilted-scan-based CT metal-artifact-reduction method for radiation therapy planning. J Appl Clin Med Phys. 2019;20(1):237-249. doi: 10.1002/acm2.12523
  6. Andersson KM, Dahlgren CV, Reizenstein J, et al. Evaluation of two commercial CT metal artifact reduction algorithms for use in proton radiotherapy treatment planning in the head and neck area. Med Phys. 2018;45(10):4329-4344. doi: 10.1002/mp.13115
  7. Li B, Huang J, Ruan J, et al. Dosimetric impact of CT metal artifact reduction for spinal implants in stereotactic body radiotherapy planning. Quant Imaging Med Surg. 2023;13(12):8290-8302. doi: 10.21037/qims-23-442
  8. Murazaki H, Fukunaga J, Hirose TA, et al. Dosimetric assessment of a single-energy metal artifact reduction algorithm for computed tomography images in radiation therapy. Radiol Phys Technol. 2019;12(3):268-276. doi: 10.1007/s12194-019-00517-7
  9. Ziemann C, Stille M, Cremers F, et al. Improvement of dose calculation in radiation therapy due to metal artifact correction using the augmented likelihood image reconstruction. J Appl Clin Med Phys. 2018;19(3):227-233. doi: 10.1002/acm2.12325
  10. Hansen CR, Christiansen RL, Lorenzen EL, et al. Contouring and dose calculation in head and neck cancer radiotherapy after reduction of metal artifacts in CT images. Acta Oncol. 2017;56(6):874-878. doi: 10.1080/0284186X.2017.1287427
  11. Rousselle A, Amelot A, Thariat J, et al. Metallic implants and CT artefacts in the CTV area: Where are we in 2020? Cancer Radiother. 2020;24(6-7):658-666. doi: 10.1016/j.canrad.2020.06.022
  12. Maerz M, Mittermair P, Krauss A, et al. Iterative metal artifact reduction improves dose calculation accuracy: Phantom study with dental implants. Strahlenther Onkol. 2016;192(6):403-413. doi: 10.1007/s00066-016-0958-z
  13. Glide-Hurst C, Chen D, Zhong H, Chetty IJ. Changes realized from extended bit-depth and metal artifact reduction in CT. Med Phys. 2013;40(6):061711. doi: 10.1118/1.4805102
  14. Li H, Noel C, Chen H, et al. Clinical evaluation of a commercial orthopedic metal artifact reduction tool for CT simulations in radiation therapy. Med Phys. 2012;39(12):7507-7517. doi: 10.1118/1.4762814
DOI: https://doi.org/10.2478/pjmpe-2025-0022 | Journal eISSN: 1898-0309 | Journal ISSN: 1425-4689
Language: English
Page range: 195 - 201
Submitted on: Dec 6, 2024
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Accepted on: Jun 15, 2025
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Published on: Aug 28, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Kamila Rawojć, Karolina Nowosad, Bartosz Kiełtyka, Anna Pędracka, Łukasz Brandt, Anna Dziecichowicz, Mansoor M. Ahmed, Kamil Kisielewicz, published by Polish Society of Medical Physics
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.