Virtual monoenergetic imaging for metal artifact reduction in dental implant surgery using photon-counting detector computed tomography
Purpose: This ex vivo study was performed to determine the optimal energy level for virtual monoenergetic images (VMIs) generated with photon-counting detector computed tomography (PCD-CT) to minimize metal artifacts from dental implants. Materials and Methods: Twelve implants from various manufacturers were placed in 6 pig mandibles and scanned with PCD-CT. VMIs were reconstructed at energy levels from 70 keV to 150 keV in 20-keV increments. Three readers with varying experience qualitatively assessed the image quality, artifact burden, and diagnostic interpretability of periimplant soft and hard tissues using a 5-point discrete visual scale. Objective analyses included quantitative line profile analysis of implant-induced artifacts. Descriptive statistics were calculated, and inter-reader agreement was assessed using percentage agreement and the Krippendorff alpha coefficient. Results: Qualitative analysis demonstrated excellent image quality for VMIs at >_110 keV (median = 5), with minimal artifacts observed at 130-150 keV. In contrast, lower-energy VMIs (70-90 keV) showed inferior performance due to artifact-related limitations in diagnostic interpretability. Inter-reader agreement ranged from moderate to perfect, with perfect reliability (alpha=1) for VMIs >_110 keV. Quantitative line-profile analysis confirmed reduced artifact burden at higher energy levels, particularly for VMIs >= 110keV. Conclusion: VMI at energy levels >_110 keV on PCD-CT reduced dental implant-related metal artifacts and offered excellent image quality, including assessment of both peri-implant soft and hard tissues. These findings suggest that optimized PCD-CT VMI may enhance postoperative follow-up imaging. Future in vivo studies are warranted to validate these findings in clinical practice. (Imaging Sci Dent 20250216)
Authors
- Thomas Sartoretti (ORCID: https://orcid.org/0000-0002-4812-987X)
- Silvio Valdec (ORCID: https://orcid.org/0000-0002-8029-180X)
- Nadin Al‐Haj Husain (ORCID: https://orcid.org/0000-0003-4928-0018)
- Adib Al‐Haj Husain (ORCID: https://orcid.org/0000-0001-7895-1461)
- Sebastian Winklhofer (ORCID: https://orcid.org/0000-0003-1581-3592)
- Bernd Stadlinger (ORCID: https://orcid.org/0000-0001-5044-7052)
- Harald Essig (ORCID: https://orcid.org/0000-0002-1307-0599)
- Hatem Alkadhi (ORCID: https://orcid.org/0000-0002-2581-2166)
- Victor Mergen (ORCID: https://orcid.org/0000-0003-4544-4804)
Institutions
- University of Bern (CH)
- University of Zurich (CH)
- Maastricht University Medical Centre (NL)
- University Hospital of Zurich (CH)
Publication Details
- Journal
- Imaging Science in Dentistry
- Published
- 2025-11-17
- DOI
- https://doi.org/10.5624/isd.20250216
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00