Effect of Different Head Positions on Metal Artifacts in Cone Beam Computed Tomography

Document Type : Original Article

Authors

1 Department of Oral and Maxillofacial Radiology, Dental Implants Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran

2 Department of Oral and Maxillofacial Radiology, Dental Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran

10.48305/jids.2025.45289.1002

Abstract

Introduction : Despite the high diagnostic value of Cone Beam Computed Tomog (CBCT) imaging, metal artifacts caused by metallic materials in the oral cavity still negatively affect image quality and the diagnostic process. This study aimed to assess the effect of head position on the reduction of metal artifacts.

Material and Methods: This cross-sectional-analytical study was conducted at the Faculty of Dentistry of Isfahan University of Medical Sciences in 2018 on six dry edentulous human mandibles. Mandibular premolars and first molars with amalgam fillings were fixed in their sockets then each mandible was scanned by CBCT in five positions: standard, rotation, tilt, extension, flexion. Six variables (D1-D6) were measured by two observers. Data were analyzed using one-way repeated measures ANOVA and Paired T-tests at a significance level of P < 0.05.
Results: The analysis showed significant differences in four variables (D1-D4) on both sides of the mandible. Significant differences were also observed between the flexion, extension, and standard positions on the side with the restoration, and between the tilt and standard positions on the contralateral side.

Conclusion: Head position significantly affects metal artifacts in CBCT images, with the greatest artifact reduction observed in the tilt position on the side opposite the metallic restoration.

Highlights

Mahnaz Sheikhi: Google Scholar, PubMed

Shohreh Nekouie: Google Scholar, PubMed

Shima Saneiyan: Google Scholar, PubMed

Keywords


  1. Jasa GR, Shimizu M, Okamura K, Tokumori K, Takeshita Y, Weerawanich W, et al. Effect of exposure parameters and slice thickness on detecting clear and unclear mandibular canals using cone beam CT. Dentomaxillofac Radiol 2017; 46(4): 20160315.
  2. Nascimento MCC, Bascolo SMA, Heiter-Neto F, Santos EC, Lambrichts I, Pauwels R, et al. Influence of basis images and skull position on evaluation of cortical bone thickness in cone beam computed tomography. Oral Surg Oral Med Oral Pathol Radiol 2017; 123(6): 707-13.
  3. Panjnoush M, Kheirandish Y, Kashani PM, Fakher HB, Younesi F, Mallahi M. Effect of exposure parameters on metal artifacts in cone beam computed tomography. J Dent (Tehran) 2016; 13(3): 143-50.
  4. Razavi T, Palmaer RM, Davies J, Wilson R, Palmer PJ. Accuracy of measuring the cortical bone thickness adjacent to dental implants using cone beam computed tomography. Clin Oral Implants Res 2010; 21(7): 718-25.
  5. Queiroz PM, Santaella GM, Paz TDJ, Freitas DQ. Evaluation of metal artifact reduction tool on different positions of a metal object in the FOV. Dentomaxillofac Radiol 2017; 46()3: 20160366.
  6. Queiroz PM, Groppo FC, Oliveira ML, Haiter-Neto F, Freitas DQ. Evaluation of the efficacy of a metal artifact reduction algorithm in different cone beam computed tomography scanning parameters. Oral Surg Oral Med Oral Pathol Radiol 2017; 123(6): 729-34.
  7. Schulze R, Heil U, Groβ D, Bruellmann DD, Dranischnikow E, Schwanecke U, Schoemer E. Artefacts in CBCT: a review. Dentomaxillofac Radiol 2011; 40(5): 265-73.
  8. White S, Pharoah M. Oral Radiology: Principles and interpretation. 7th ed. St. Louis, Missouri: Elsevier; 2014. P. 196.
  9. Nabha W, Hong YM, Cho JH, Hwang HSh. Assessment of metal artifacts in three-dimensional dental surface models derived by cone beam computed tomography. Korean J Orthod 2014; 44(5): 229-35.
  10. Codari M, de Faria Vasconcelos K, Nicolielo LFP, Jacobs R. Quantitative evaluation of metal artifacts using different CBCT devices, high density materials and field of views. Clin. Oral Impl Pes 2017; 28(12): 1509-14.
  11. Valizadeh S, Vasegh Z, Rezapanah S, Safi Y, Khaeazifard MJ. Effect of object position in cone beam computed tomography field of view for detection of root fractures in teeth with intra-canal posts. Iran J Radiol 2015; 12(4): e25272.
  12. Schulze RK, Berndt D, d'Hoedt B. On cone beam computed tomography artifacts induced by titanium implants. Clin Oral Implants Res 2010; 21(1): 100-7 .
  13. Pauwels R, Stamatakis H, Bosmans H, Bogaerts R, Jacobs R, Horner K, et al. Quantification of metal artifacts on cone beam computed tomography images. Clin Oral Implants Res 2013; 24 Suppl A 100: 94-9.
  14. Kastumata A, Hirukawa A, Noujeim M, Okumura S, Naitoh M, Fujishita m, ET AL. Image artifact in dental cone beam CT. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2006; 101(5): 652-7.
  15. Chindasombatjareon J, Kakimoto N, Murakami S, Maeda Y, Furukawa S. Quantitative analysis of metalic artifacts caused by dental metals: comparision of cone-beam and multi-detector row CT scanners. Oral Radiol 2011; 27(2): 114-20.
  16. Benic GI, Sancho-Puchades M, Jung RE, Deyhle H, Hammerle CH. Invitro assessment of artifacts induced by titanium dental implants in cone beam computed tomography. Clin Oral Implants Res 2013; 24(4): 378-83.
  17. Taylor C. Evaluation of the effects of positioning and configuration on contrast to noise ratio in the quality control of a 3D Accuitomo 170 dental CBCT system. Dentomaxillofac Radiol 2016; 45(5): 20150430.
  18. Scarfe WC, Farman AG. What is cone beam CT and how does it work? Dent Clin North Am 2008; 52(4): 707-30.