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26-12-2023 | Computed Tomography | Original Article

Phantom study for CT artifacts of dental titanium implants and zirconia upper structures: the effects of occlusal plane angle setting and SEMAR algorithm

Authors: Ryoji Kitami, Masahiro Izumi, Motoe Taniguchi, Yusuke Kozai, Takashi Sakurai

Published in: Oral Radiology | Issue 2/2024

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Abstract

Objectives

The single-energy metal artifact reduction (SEMAR) algorithm effectively reduces metal artifacts in computed tomography (CT). The study aimed to evaluate the effect of the occlusal plane angle on metal artifacts caused by dental implants and zirconia upper structures, and the effectiveness of SEMAR for CT prognostic evaluation.

Methods

Part of a bovine rib was used as the mandibular implant phantom. First, the phantom immersed in a water tank was scanned using CT to obtain the control image under certain conditions. Subsequently, three titanium implant bodies were implanted in a straight line into the phantom, and a zirconia superstructure was attached. CT scans were performed. The CT-reconstructed images were obtained with and without SEMAR processing. Twelve regions of interest (ROIs) were set at the same site on each sagittal image, and the CT values were measured at all the ROIs. The CT values of the ROIs in the control images and those of the ROIs with and without SEMAR were compared.

Results

The variations in the occlusal plane angle during CT imaging negligibly affected the number of regions in which metal artifacts appeared. SEMAR improved the CT value of the trabecular bone, which was affected by metal artifacts.

Conclusion

This study showed that the occlusal plane angle occasionally did not affect the area of metal artifacts caused by dental implants or zirconia upper structures. Other results indicate that SEMAR is effective for accurately evaluating the alveolar bone around the implant body by reducing metal artifacts.
Literature
1.
go back to reference Chen YC, Chen MY, Chen TY. Improving dental implant outcomes: CNN-Based system accurately measures degree of peri-implantitis damage on periapical film. Bioengineering (Basel). 2023;10:640.CrossRefPubMed Chen YC, Chen MY, Chen TY. Improving dental implant outcomes: CNN-Based system accurately measures degree of peri-implantitis damage on periapical film. Bioengineering (Basel). 2023;10:640.CrossRefPubMed
2.
go back to reference Sohmura T, Hojoh H, Kusumoto N. A novel method of removing artifacts because of metallic dental restorations in 3-D CT images of jaw bone. Clin Oral Implants Res. 2005;16:728–35.CrossRefPubMed Sohmura T, Hojoh H, Kusumoto N. A novel method of removing artifacts because of metallic dental restorations in 3-D CT images of jaw bone. Clin Oral Implants Res. 2005;16:728–35.CrossRefPubMed
3.
go back to reference Almohandes A, Lund H, Carcuac O. Accuracy of bone-level assessments following reconstructive surgical treatment of experimental peri-implantitis. Clin Oral Implants Res. 2022;33:433–40.CrossRefPubMedPubMedCentral Almohandes A, Lund H, Carcuac O. Accuracy of bone-level assessments following reconstructive surgical treatment of experimental peri-implantitis. Clin Oral Implants Res. 2022;33:433–40.CrossRefPubMedPubMedCentral
5.
go back to reference Wagenaar D, van der Graaf ER, van der Schaaf A. Quantitative comparison of commercial and non-commercial metal artifact reduction techniques in computed tomography. PLoS ONE. 2015;10: e0127932.CrossRefPubMedPubMedCentral Wagenaar D, van der Graaf ER, van der Schaaf A. Quantitative comparison of commercial and non-commercial metal artifact reduction techniques in computed tomography. PLoS ONE. 2015;10: e0127932.CrossRefPubMedPubMedCentral
6.
go back to reference Dong J, Hayakawa Y, Kannenberg S. Metal-induced streak artifact reduction using iterative reconstruction algorithms in X-ray computed tomography image of the dentoalveolar region. Oral Surg Oral Med Oral Pathol Oral Radiol. 2013;115:e63-73.CrossRefPubMed Dong J, Hayakawa Y, Kannenberg S. Metal-induced streak artifact reduction using iterative reconstruction algorithms in X-ray computed tomography image of the dentoalveolar region. Oral Surg Oral Med Oral Pathol Oral Radiol. 2013;115:e63-73.CrossRefPubMed
7.
go back to reference Gondim Teixeira PA, Meyer JB, Baumann C. Total hip prosthesis CT with single-energy projection-based metallic artifact reduction: impact on the visualization of specific periprosthetic soft tissue structures. Skeletal Radiol. 2014;43:1237–46.CrossRefPubMed Gondim Teixeira PA, Meyer JB, Baumann C. Total hip prosthesis CT with single-energy projection-based metallic artifact reduction: impact on the visualization of specific periprosthetic soft tissue structures. Skeletal Radiol. 2014;43:1237–46.CrossRefPubMed
8.
go back to reference De Crop A, Casselman J, Van Hoof T. Analysis of metal artifact reduction tools for dental hardware in CT scans of the oral cavity: kVp, iterative reconstruction, dual-energy CT, metal artifact reduction software: does it make a difference? Neuroradiology. 2015;57:841–9.CrossRefPubMed De Crop A, Casselman J, Van Hoof T. Analysis of metal artifact reduction tools for dental hardware in CT scans of the oral cavity: kVp, iterative reconstruction, dual-energy CT, metal artifact reduction software: does it make a difference? Neuroradiology. 2015;57:841–9.CrossRefPubMed
9.
go back to reference Huflage H, Grunz JP, Hackenbroch C. Metal artefact reduction in low-dose computed tomography: benefits of tin prefiltration versus postprocessing of dual-energy datasets over conventional CT imaging. Radiography (Lond). 2022;28:690–6.CrossRefPubMed Huflage H, Grunz JP, Hackenbroch C. Metal artefact reduction in low-dose computed tomography: benefits of tin prefiltration versus postprocessing of dual-energy datasets over conventional CT imaging. Radiography (Lond). 2022;28:690–6.CrossRefPubMed
10.
go back to reference Branco D, Kry S, Taylor P, Rong J. Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom. Phys Imaging Radiat Oncol. 2021;17:111–6.CrossRefPubMedPubMedCentral Branco D, Kry S, Taylor P, Rong J. Evaluation of image quality of a novel computed tomography metal artifact management technique on an anthropomorphic head and neck phantom. Phys Imaging Radiat Oncol. 2021;17:111–6.CrossRefPubMedPubMedCentral
11.
go back to reference Chou R, Chi HY, Lin YH. Comparison of quantitative measurements of four manufacturer’s metal artifact reduction techniques for CT imaging with a self-made acrylic phantom. Technol Health Care. 2020;28:273–87.CrossRefPubMedPubMedCentral Chou R, Chi HY, Lin YH. Comparison of quantitative measurements of four manufacturer’s metal artifact reduction techniques for CT imaging with a self-made acrylic phantom. Technol Health Care. 2020;28:273–87.CrossRefPubMedPubMedCentral
12.
go back to reference Demirturk Kocasarac H, Ustaoglu G, Bayrak S. Evaluation of artifacts generated by titanium, zirconium, and titanium-zirconium alloy dental implants on MRI, CT, and CBCT images: a phantom study. Oral Surg Oral Med Oral Pathol Oral Radiol. 2019;127:535–44.CrossRefPubMed Demirturk Kocasarac H, Ustaoglu G, Bayrak S. Evaluation of artifacts generated by titanium, zirconium, and titanium-zirconium alloy dental implants on MRI, CT, and CBCT images: a phantom study. Oral Surg Oral Med Oral Pathol Oral Radiol. 2019;127:535–44.CrossRefPubMed
13.
go back to reference Smeets R, Schöllchen M, Gauer T. Artefacts in multimodal imaging of titanium, zirconium and binary titanium-zirconium alloy dental implants: an in vitro study. Dentomaxillofac Radiol. 2017;46:20160267.CrossRefPubMedPubMedCentral Smeets R, Schöllchen M, Gauer T. Artefacts in multimodal imaging of titanium, zirconium and binary titanium-zirconium alloy dental implants: an in vitro study. Dentomaxillofac Radiol. 2017;46:20160267.CrossRefPubMedPubMedCentral
14.
go back to reference Lell MM, Meyer E, Kuefner MA. Normalized metal artifact reduction in head and neck computed tomography. Invest Radiol. 2012;47:415–21.CrossRefPubMed Lell MM, Meyer E, Kuefner MA. Normalized metal artifact reduction in head and neck computed tomography. Invest Radiol. 2012;47:415–21.CrossRefPubMed
15.
go back to reference Hakim A, Slotboom J, Lieger O. Clinical evaluation of the iterative metal artefact reduction algorithm for postoperative CT examination after maxillofacial surgery. Dentomaxillofac Radiol. 2017;46:20160355.CrossRefPubMedPubMedCentral Hakim A, Slotboom J, Lieger O. Clinical evaluation of the iterative metal artefact reduction algorithm for postoperative CT examination after maxillofacial surgery. Dentomaxillofac Radiol. 2017;46:20160355.CrossRefPubMedPubMedCentral
16.
go back to reference Khaleghi G, Hosntalab M, Sadeghi M. Neural network performance evaluation of simulated and genuine head-and-neck computed tomography images to reduce metal artifacts. J Med Signals Sens. 2022;12:269–77.CrossRefPubMedPubMedCentral Khaleghi G, Hosntalab M, Sadeghi M. Neural network performance evaluation of simulated and genuine head-and-neck computed tomography images to reduce metal artifacts. J Med Signals Sens. 2022;12:269–77.CrossRefPubMedPubMedCentral
17.
18.
go back to reference Hilgenfeld T, Juerchott A, Deisenhofer UK. Accuracy of cone-beam computed tomography, dental magnetic resonance imaging, and intraoral radiography for detecting peri-implant bone defects at single zirconia implants-An in vitro study. Clin Oral Implants Res. 2018;29:922–30.CrossRefPubMed Hilgenfeld T, Juerchott A, Deisenhofer UK. Accuracy of cone-beam computed tomography, dental magnetic resonance imaging, and intraoral radiography for detecting peri-implant bone defects at single zirconia implants-An in vitro study. Clin Oral Implants Res. 2018;29:922–30.CrossRefPubMed
19.
go back to reference Fontenele RC, Nascimento EH, Vasconcelos TV. Magnitude of cone beam CT image artifacts related to zirconium and titanium implants: impact on image quality. Dentomaxillofac Radiol. 2018;47:20180021.CrossRefPubMedPubMedCentral Fontenele RC, Nascimento EH, Vasconcelos TV. Magnitude of cone beam CT image artifacts related to zirconium and titanium implants: impact on image quality. Dentomaxillofac Radiol. 2018;47:20180021.CrossRefPubMedPubMedCentral
20.
go back to reference Vasconcelos TV, Bechara BB, McMahan CA. Evaluation of artifacts generated by zirconium implants in cone-beam computed tomography images. Noujeim Oral Surg Oral Med Oral Pathol Oral Radiol. 2017;123:265–72.CrossRefPubMed Vasconcelos TV, Bechara BB, McMahan CA. Evaluation of artifacts generated by zirconium implants in cone-beam computed tomography images. Noujeim Oral Surg Oral Med Oral Pathol Oral Radiol. 2017;123:265–72.CrossRefPubMed
21.
22.
go back to reference Xavier PNI, Vizzotto MB, Arús NA, Tiecher PFDS, Gamba TO, Fontana MP, Beltrão RG, da Silveira HLD. Influence of the presence of dental implants on the accuracy and difficulty level of diagnosis of furcation involvement in molars: an in vitro CBCT study. Clin Oral Implants Res. 2023;34:1385. https://doi.org/10.1111/clr.14182.CrossRefPubMed Xavier PNI, Vizzotto MB, Arús NA, Tiecher PFDS, Gamba TO, Fontana MP, Beltrão RG, da Silveira HLD. Influence of the presence of dental implants on the accuracy and difficulty level of diagnosis of furcation involvement in molars: an in vitro CBCT study. Clin Oral Implants Res. 2023;34:1385. https://​doi.​org/​10.​1111/​clr.​14182.CrossRefPubMed
23.
go back to reference Kim YH, Lee C, Han SS, Jeon KJ, Choi YJ, Lee A. Quantitative analysis of metal artifact reduction using the auto-edge counting method in cone-beam computed tomography. Sci Rep. 2020;10:8872.ADSCrossRefPubMedPubMedCentral Kim YH, Lee C, Han SS, Jeon KJ, Choi YJ, Lee A. Quantitative analysis of metal artifact reduction using the auto-edge counting method in cone-beam computed tomography. Sci Rep. 2020;10:8872.ADSCrossRefPubMedPubMedCentral
24.
go back to reference Khosravifard A, Saberi BV, Khosravifard N, Motallebi S, Kajan ZD, Ghaffari ME. Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm. Oral Surg Oral Med Oral Pathol Oral Radiol. 2021;132:735–43.CrossRefPubMed Khosravifard A, Saberi BV, Khosravifard N, Motallebi S, Kajan ZD, Ghaffari ME. Application of an auto-edge counting method for quantification of metal artifacts in CBCT images: a multivariate analysis of object position, field of view size, tube voltage, and metal artifact reduction algorithm. Oral Surg Oral Med Oral Pathol Oral Radiol. 2021;132:735–43.CrossRefPubMed
Metadata
Title
Phantom study for CT artifacts of dental titanium implants and zirconia upper structures: the effects of occlusal plane angle setting and SEMAR algorithm
Authors
Ryoji Kitami
Masahiro Izumi
Motoe Taniguchi
Yusuke Kozai
Takashi Sakurai
Publication date
26-12-2023
Publisher
Springer Nature Singapore
Published in
Oral Radiology / Issue 2/2024
Print ISSN: 0911-6028
Electronic ISSN: 1613-9674
DOI
https://doi.org/10.1007/s11282-023-00730-6

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