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Use of virtual monoenergetic images for reduction of extensive dental implant associated artifacts in photon-counting detector CT.

Authors :
Layer YC
Mesropyan N
Kupczyk PA
Luetkens JA
Isaak A
Dell T
Ernst BP
Attenberger UI
Kuetting D
Source :
Scientific reports [Sci Rep] 2024 Jan 04; Vol. 14 (1), pp. 497. Date of Electronic Publication: 2024 Jan 04.
Publication Year :
2024

Abstract

Aim of this study was to assess the impact of virtual monoenergetic images (VMI) on dental implant artifacts in photon-counting detector computed tomography (PCD-CT) compared to standard reconstructed polychromatic images (PI). 30 scans with extensive (≥ 5 dental implants) dental implant-associated artifacts were retrospectively analyzed. Scans were acquired during clinical routine on a PCD-CT. VMI were reconstructed for 100-190 keV (10 keV steps) and compared to PI. Artifact extent and assessment of adjacent soft tissue were rated using a 5-point Likert grading scale for qualitative assessment. Quantitative assessment was performed using ROIs in most pronounced hypodense and hyperdense artifacts, artifact-impaired soft tissue, artifact-free fat and muscle tissue. A corrected attenuation was calculated as difference between artifact-impaired tissue and tissue without artifacts. Qualitative assessment of soft palate and cheeks improved for all VMI compared to PI (Median PI: 1 (Range: 1-3) and 1 (1-3); e.g. VMI <subscript>130 keV</subscript> 2 (1-5); p < 0.0001 and 2 (1-4); p < 0.0001). In quantitative assessment, VMI <subscript>130 keV</subscript> showed best results with a corrected attenuation closest to 0 (PI: 30.48 ± 98.16; VMI <subscript>130 keV</subscript> : - 0.55 ± 73.38; p = 0.0026). Overall, photon-counting deducted VMI reduce the extent of dental implant-associated artifacts. VMI of 130 keV showed best results and are recommended to support head and neck CT scans.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
2045-2322
Volume :
14
Issue :
1
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
38177651
Full Text :
https://doi.org/10.1038/s41598-023-50926-3