References
- Ichikawa K. CT super basic. Tokyo, Japan: Ohmsha; 2015.
- 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(2):450-461. https://doi.org/10.1148/rg.2018170102
- Greffier J, Larbi A, Frandon J, Daviau PA, Beregi JP, Pereira F. Influence of iterative reconstruction and dose levels on metallic artifact reduction: a phantom study within four CT systems. Diagn Interv Imaging. 2019;100(5):269-277. https://doi.org/10.1016/j.diii.2018.12.007
- Huang JY, Kerns JR, Nute JL, et al. An evaluation of three commercially available metal artifact reduction methods for CT imaging. Phys Med Biol. 2015;60(3):1047-1067. https://doi.org/10.1088/0031-9155/60/3/1047
- Selles M, van Osch JAC, Maas M, Boomsma MF, Wellenberg RHH. Advances in metal artifact reduction in CT images: A review of traditional and novel metal artifact reduction techniques. Eur J Radiol. 2024;170:111276. https://doi.org/10.1016/j.ejrad.2023.111276
- Hauser TK, Oergel A, Hurth H, Ernemann U, Seeger A. Artifact reduction in the diagnosis of vasospasm in computed tomographic perfusion: potential of iterative metal artifact reduction. J Comput Assist Tomogr. 2019;43(4):553-558. https://doi.org/10.1097/rct.0000000000000879
- Aissa J, Boos J, Sawicki LM, et al. Iterative metal artifact reduction (MAR) in postsurgical chest CT: comparison of three iMARalgorithms. Br J Radiol. 2017;90(1079):20160778. https://doi.org/10.1259/bjr.20160778
- Pagniez J, Legrand L, Khung S, et al. Metal artifact reduction on chest computed tomography examinations: comparison of the iterative metallic artifact reduction algorithm and the monoenergetic approach. J Comput Assist Tomogr. 2017;41(3):446-454. https://doi.org/10.1097/rct.0000000000000544
- Boomsma MF, Warringa N, Edens MA, et al. Quantitative analysis of orthopedic metal artifact reduction in 64-slice computed tomography scans in large head metal-on-metal total hip replacement, a phantom study. Springerplus. 2016;5:405. https://doi.org/10.1186/s40064-016-2006-y
- Pan YN, Chen G, Li AJ, et al. Reduction of metallic artifacts of the post-treatment intracranial aneurysms: effects of single energy metal artifact reduction algorithm. Clin Neuroradiol. 2019;29(2):277-284. https://doi.org/10.1007/s00062-017-0644-2
- Aissa J, Thomas C, Sawicki LM, et al. Iterative metal artifact reduction in CT: can dedicated algorithms improve image quality after spinal instrumentation? Clin Radiol. 2017;72(5):428.e7-428.e12. https://doi.org/10.1016/j.crad.2016.12.006
- Neroladaki A, Martin SP, Bagetakos I, et al. Metallic artifact reduction by evaluation of the additional value of iterative reconstruction algorithms in hip prosthesis computed tomography imaging. Medicine (Baltimore). 2019;98(6):e14341. https://doi.org/10.1097/md.0000000000014341
- Hoyoshi K, Satou T, Okada A. [Effect of hybrid iterative reconstruction on CT image quality using metal artifact reduction]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2018;74(8):797-804. Japanese. https://doi.org/10.6009/jjrt.2018_jsrt_74.8.797
- Takayanagi T, Arai T, Amanuma M, et al. [Pacemaker-induced metallic artifacts in coronary computed tomography angiography: clinical feasibility of single energy metal artifact reduction technique]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2017;73(6):460-466. Japanese. https://doi.org/10.6009/jjrt.2017_jsrt_73.6.460
- Nagayama Y, Tanoue S, Oda S, et al. Metal artifact reduction in head CT performed for patients with deep brain stimulation devices: effectiveness of a single-energy metal artifact reduction algorithm. AJNR Am J Neuroradiol. 2020;41(2):231-237. https://doi.org/10.3174/ajnr.a6375
- Tsuboi K, Fukunaga M, Yamamoto H. [The effect of metal artifact reduction at different calibrated and display field of views in computed tomography]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2016;72(12):1237-1244. Japanese. https://doi.org/10.6009/jjrt.2016_jsrt_72.12.1237
- Takada K, Ichikawa K, Banno S, Otobe K. [Suggestion of the relative artifact index for noise-independent evaluation of the streak artifact]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2018;74(4):315-325. Japanese. https://doi.org/10.6009/jjrt.2018_jsrt_74.4.315
- Imai K, Ikeda M, Wada S, et al. Analysis of streak artifacts on CT images using statistics of extremes. Br J Radiol. 2007;80(959):911-918. https://doi.org/10.1259/bjr/93741044
- Nakamura S, Kawata H, Kuroki H, Mizoguchi A. [Effect of reconstruction technique for metal artifact reduction in computed tomography by changing display field of view]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2015;71(11):1096-1102. Japanese. https://doi.org/10.6009/jjrt.2015_jsrt_71.11.1096
- Kitaguchi S, Imai K, Ueda S, et al. [Quantitative evaluation of metal artifacts on CT images on the basis of statistics of extremes]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2016;72(5):402-409. Japanese. https://doi.org/10.6009/jjrt.2016_jsrt_72.5.402
- Nakane J, Kobayashi Y, Shiozawa T. [Isotropic evaluation of streak artifact using extreme value statistical analysis]. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2015;71(12):1165-1173. Japanese. https://doi.org/10.6009/jjrt.2015_jsrt_71.12.1165
- Nomura Y, Watanabe H, Manila NG, Asai S, Kurabayashi T. Evaluation of streak metal artifacts in cone beam computed tomography by using the Gumbel distribution: a phantom study. Oral Surg Oral Med Oral Pathol Oral Radiol. 2021;131(4):494-502. https://doi.org/10.1016/j.oooo.2020.08.031
- Imai K, Ikeda M, Enchi Y, Niimi T. Quantitative assessment of image noise and streak artifact on CT image: comparison of z-axis automatic tube current modulation technique with fixed tube current technique. Comput Med Imaging Graph. 2009;33(5):353-358. https://doi.org/10.1016/j.compmedimag.2009.02.003
- Imai K, Ikeda M, Enchi Y, Niimi T. Statistical characteristics of streak artifacts on CT images: relationship between streak artifacts and mA s values. Med Phys. 2009;36(2):492-499. https://doi.org/10.1118/1.3056554
- Ishikawa T, Suzuki S, Harashima S, Fukui R, Kaiume M, Katada Y. Metal artifacts reduction in computed tomography: A phantom study to compare the effectiveness of metal artifact reduction algorithm, model-based iterative reconstruction, and virtual monochromatic imaging. Medicine (Baltimore). 2020 11;99(50):e23692. https://doi.org/10.1097/md.0000000000023692
- Wayer DR, Kim NY, Otto BJ, Grayev AM, Kuner AD. Unintended consequences: review of new artifacts introduced by iterative reconstruction CT metal artifact reduction in spine imaging. AJNR Am J Neuroradiol. 2019;40(11):1973-1975. https://doi.org/10.3174/ajnr.a6238