Assessment of the efficiency of a pre-versus post-acquisition metal artifact reduction algorithm in the presence of 3 different dental implant materials using multiple CBCT settings: An in vitro study

Solaleh Shahmirzadi, Rana A. Sharaf, Sarang Saadat, William Moore, Hassem Geha, Dania Tamimi, Husniye Demirturk Kocasarac

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: The aim of this study was to assess artifacts generated in cone-beam computed tomography (CBCT) of 3 types of dental implants using 3 metal artifact reduction (MAR) algorithm conditions (pre-acquisition MAR, post-acquisition MAR, and no MAR), and 2 peak kilovoltage (kVp) settings. Materials and Methods: Titanium-zirconium, titanium, and zirconium alloy implants were placed in a dry mandible. CBCT images were acquired using 84 and 90 kVp and at normal resolution for all 3 MAR conditions. The images were analyzed using ImageJ software (National Institutes of Health, Bethesda, MD) to calculate the intensity of artifacts for each combination of material and settings. A 3-factor analysis of variance model with up to 3-way interactions was used to determine whether there was a statistically significant difference in the mean intensity of artifacts associated with each factor. Results: The analysis of all 3 MAR conditions showed that using no MAR resulted in substantially more severe artifacts than either of the 2 MAR algorithms for the 3 implant materials; however, there were no significant differences between pre- and post-acquisition MAR. The 90 kVp setting generated less intense artifacts on average than the 84 kVp setting. The titanium-zirconium alloy generated significantly less intense artifacts than zirconium. Titanium generated artifacts at an intermediate level relative to the other 2 implant materials, but was not statistically significantly different from either. Conclusion: This in vitro study suggests that artifacts can be minimized by using a titanium-zirconium alloy at the 90 kVp setting, with either MAR setting. (Imaging Sci Dent 20200094)

Original languageEnglish (US)
Pages (from-to)1-7
Number of pages7
JournalImaging Science in Dentistry
Volume51
DOIs
StatePublished - 2021

Keywords

  • Artifacts
  • Cone-Beam Computed Tomography
  • Dental Implants

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Dentistry(all)
  • Radiology Nuclear Medicine and imaging

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