Document Type
Article
Publication Date
10-2025
Publisher
Korean Academy of Oral and Maxillofacial Radiology
Source Publication
Imaging Science in Dentistry
Source ISSN
2233-7822
Abstract
Purpose The aim of this study was to evaluate the effect of 4 different post materials on the contrast-to-noise ratio (CNR) in various tooth regions using multiple cone-beam computed tomography (CBCT) imaging settings and metal artifact reduction (MAR) algorithms. Materials and Methods Forty single-rooted teeth with 4 different post materials were mounted in a skull and scanned using the Planmeca ProMax 3D Max under different conditions: 90 and 96 kVp; no, medium, and high MAR settings; and voxel sizes of 100 and 200 μm. Image analysis was performed with ImageJ software to calculate CNR. The dose-area product (DAP) was recorded, and the effective dose was calculated. Results When all other parameters were held constant, each factor significantly influenced mean CNR (P< 0.05). Higher CNR values were observed in the middle third of roots at 96 kVp, with a voxel size of 200 μm, and with medium or high MAR. No significant difference was found between medium and high MAR. Gold posts showed the lowest mean CNR, while no significant differences were observed among the other post materials. Conclusion The combination of low resolution, medium MAR, and 96 kVp provided the highest image quality and CNR for visualizing teeth with post materials using the Planmeca ProMax, while also producing one of the lowest effective doses.
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Shahmirzadi, Solaleh; Helvacioglu-Yigit, Dilek; Seki, Umut; Singh, Maharaj; Saadat, Sarang; and Demirturk Kocasarac, Husniye, "Noise-Optimized Cone-Beam Computed Tomographic Imaging of Different Post Materials With Multiple Settings: A Comparative Analysis" (2025). College of Nursing Faculty Research and Publications. 1226.
https://epublications.marquette.edu/nursing_fac/1226
Comments
Published version. Imaging Science in Dentistry, Vol. 55 (2025): 335-342. DOI. This article is © 2025 Korean Academy of Oral and Maxillofacial Radiology. Used with permission.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.