Original Articles
Vol. 39 No. 2 (2025)
https://doi.org/10.32067/GIE.2025.523

Investigating the Efficacy of the Metal Artifact Reduction Algorithm in Cone-Beam Computed Tomography Images for Endodontic and Restorative Materials

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Received: 31 May 2025
Accepted: 4 June 2025
Published: 9 June 2025
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Cone Beam Computer Tomography, dental materials, metal artifact reduction algorithm

Authors

Mahsa Moannaei
moannaei.mahsa@gmail.com
https://orcid.org/0000-0001-5475-9627
Assistant professor department of oral and maxillofacial radiology of Hormozgan University, Bandar Abbās iran, Iran, Islamic Republic of.
Fateme Halvaei
Student Research Committee, School of Dentistry, Isfahan University of Medical Sciences, Isfaha, Iran, Islamic Republic of.
Mehrdad Abdinian
Department of Oral and Maxillofacial Radiology, Dental Implants Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran, Islamic Republic of.
Parisa Soltani
Department of Oral and Maxillofacial Radiology, Dental Implants Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan - Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples ‘Federico II’, Naples - Department of Translational Medical Sciences, University of Naples ‘Federico II’, Naples, Italy, Iran, Islamic Republic of.
Carlo Rengo
Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples ‘Federico II’, Naples, Italy.
Mariangela Cernera
Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples ‘Federico II’, Naples - Department of Translational Medical Sciences, University of Naples ‘Federico II’, Naples, Italy.

Aim: This study aimed to assess the effectiveness of metal artifact reduction (MAR) algorithms in cone-beam computed tomography (CBCT) images, specifically for various common dental materials. Metal restorations, posts, and gutta-percha frequently cause artifacts due to their high density, impacting image quality.

Methodology: Researchers used 11 extracted human mandibular teeth with different dental materials (amalgam, metal posts, porcelain-fused-to-metal (PFM) crowns, gutta-percha) and three intact teeth. CBCT scans were performed using a Galileos scanner on a mandible in water to simulate soft tissue. Images were acquired both with and without MAR activation across various tooth positions. Contrast-to-noise ratio (CNR) was calculated at multiple distances and angles. Statistical analysis was conducted using the Wilcoxon test.

Results: The study found that activating the MAR algorithm had no significant impact on reducing metal artifacts across any of the evaluated dental materials, regardless of tooth type, position, or angle.

Conclusion: The MAR algorithm, as tested, does not significantly reduce metal artifacts caused by dental materials like amalgam, metal posts, PFM crowns, or gutta-percha in CBCT images. In this context, clinical application of these algorithm does not provide justifiable added benefits.

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Investigating the Efficacy of the Metal Artifact Reduction Algorithm in Cone-Beam Computed Tomography Images for Endodontic and Restorative Materials. (2025). Giornale Italiano Di Endodonzia, 39(2), 33-43. https://doi.org/10.32067/GIE.2025.523
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