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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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| Publicado no: | AJNR Am J Neuroradiol |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Society of Neuroradiology
2020
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| 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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