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Diagnostic Value of Model-Based Iterative Reconstruction Combined with a Metal Artifact Reduction Algorithm during CT of the Oral Cavity

BACKGROUND AND PURPOSE: Metal artifacts reduce the quality of CT images and increase the difficulty of interpretation. This study compared the ability of model-based iterative reconstruction and hybrid iterative reconstruction to improve CT image quality in patients with metallic dental artifacts wh...

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Detalhes bibliográficos
Publicado no:AJNR Am J Neuroradiol
Main Authors: Kubo, Y., Ito, K., Sone, M., Nagasawa, H., Onishi, Y., Umakoshi, N., Hasegawa, T., Akimoto, T., Kusumoto, M.
Formato: Artigo
Idioma:Inglês
Publicado em: American Society of Neuroradiology 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7658818/
https://ncbi.nlm.nih.gov/pubmed/32972957
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A6767
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