Combining virtual monoenergetic imaging and iterative metal artifact reduction in first-generation photon-counting computed tomography of patients with dental implants.
Artifact
Dental implants
Tomography, X-ray computed
Journal
European radiology
ISSN: 1432-1084
Titre abrégé: Eur Radiol
Pays: Germany
ID NLM: 9114774
Informations de publication
Date de publication:
Nov 2023
Nov 2023
Historique:
received:
21
02
2023
accepted:
27
04
2023
revised:
04
04
2023
medline:
27
10
2023
pubmed:
7
6
2023
entrez:
7
6
2023
Statut:
ppublish
Résumé
While established for energy-integrating detector computed tomography (CT), the effect of virtual monoenergetic imaging (VMI) and iterative metal artifact reduction (iMAR) in photon-counting detector (PCD) CT lacks thorough investigation. This study evaluates VMI, iMAR, and combinations thereof in PCD-CT of patients with dental implants. In 50 patients (25 women; mean age 62.0 ± 9.9 years), polychromatic 120 kVp imaging (T3D), VMI, T3D iMAR reduced hyper-/hypodense artifacts (T3D 1305.0/-1418.4 versus T3D While VMI alone holds minimal metal artifact reduction potential, iMAR post-processing enabled substantial reduction of hyperdense and hypodense artifacts. The combination of VMI ≥ 110 keV and iMAR resulted in the least extensive metal artifacts. Combining iMAR with VMI represents a potent tool for maxillofacial PCD-CT with dental implants achieving substantial artifact reduction and high image quality. • Post-processing of photon-counting CT scans with an iterative metal artifact reduction algorithm substantially reduces hyperdense and hypodense artifacts arising from dental implants. • Virtual monoenergetic images presented only minimal metal artifact reduction potential. • The combination of both provided a considerable benefit in subjective analysis compared to iterative metal artifact reduction alone.
Identifiants
pubmed: 37284870
doi: 10.1007/s00330-023-09790-y
pii: 10.1007/s00330-023-09790-y
pmc: PMC10598126
doi:
Substances chimiques
Dental Implants
0
Metals
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
7818-7829Subventions
Organisme : Interdisziplinäres Zentrum für Klinische Forschung, Universitätsklinikum Würzburg
ID : Z-3BC/02
Organisme : Deutsche Forschungsgemeinschaft
ID : 467675629
Informations de copyright
© 2023. The Author(s).
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