Dual-Energy Computed Tomography Applications to Reduce Metal Artifacts in Hip Prostheses: A Phantom Study.
arthroplasty
diagnostic imaging
dual-energy computed tomography
hip prosthesis
metal artifact reduction
spectral imaging CT
Journal
Diagnostics (Basel, Switzerland)
ISSN: 2075-4418
Titre abrégé: Diagnostics (Basel)
Pays: Switzerland
ID NLM: 101658402
Informations de publication
Date de publication:
23 Dec 2022
23 Dec 2022
Historique:
received:
15
11
2022
revised:
15
12
2022
accepted:
20
12
2022
entrez:
8
1
2023
pubmed:
9
1
2023
medline:
9
1
2023
Statut:
epublish
Résumé
Metal components of hip prostheses cause severe artifacts in CT images, influencing diagnostic accuracy. Metal artifact reduction (MAR) software and virtual monoenergetic reconstructions on dual-energy CT (DECT) systems are possible solutions that should be considered. In this study, we created a customized adjustable phantom to quantify the severity of artifacts on periprosthetic tissues (cortical and spongious bone, soft tissues) for hip prostheses. The severity of artifacts was classified by different thresholds of deviation from the CT numbers for reference objects not affected by artifacts. The in vitro setup was applied on four unilateral and three bilateral configurations of hip prostheses (made of titanium, cobalt, and stainless steel alloys) with a DECT system, changing the energy of virtual monoenergetic reconstructions, with and without MAR. The impact of these tools on the severity of artifacts was scored, looking for the best scan conditions for the different configurations. For titanium prostheses, the reconstruction at 110 keV, without MAR, always minimized the artifacts. For cobalt and stainless-steel prostheses, MAR should always be applied, while monoenergetic reconstruction alone did not show clear advantages. The available tools for reducing metal artifacts must therefore be applied depending on the examined prosthetic configuration.
Identifiants
pubmed: 36611342
pii: diagnostics13010050
doi: 10.3390/diagnostics13010050
pmc: PMC9853491
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : GE Medical Systems Italia SpA
ID : Scientific collaboration with the Istituto Ortopedico Rizzoli, Bologna, Italy (deliberazione 327/2019)
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