ArticleInsights into imaging2020
Clinical application of multi-material artifact reduction (MMAR) technique in Revolution CT to reduce metallic dental artifacts.
Article in Insights into imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Impact of Combined Deep Learning Image Reconstruction and Metal Artifact Reduction Algorithm on CT Image Quality in Different Scanning Conditions for Maxillofacial Region with Metal Implants: A Phantom Study.Journal of imaging informatics in medicine · 2025Article
- Physics-informed sinogram completion for metal artifact reduction in non-contrast brain CT images with neurovascular coils: comparison with traditional and deep learning-based methods.BMC medical imaging · 2025Article
- Investigation of radiology professionals' awareness of CT head artifacts.BMC research notes · 2025Article
- A robust index for metal artifact quantification in computed tomography.Journal of applied clinical medical physics · 2024Article
- Use of virtual monoenergetic images for reduction of extensive dental implant associated artifacts in photon-counting detector CT.Scientific reports · 2024Article
- Dual-energy CT: Impact of detecting bone marrow oedema in occult trauma in the Emergency.BJR open · 2024Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study aimed to explore the performance of Revolution CT virtual monoenergetic images (VMI) combined with the multi-material artifact reduction (MMAR) technique in reducing metal artifacts in oral and maxillofacial imaging.
resultsThere were significant differences in image quality scores between VMI + MMAR images and VMI+MARS (multiple artifact reduction system) images at each monochromatic energy level (p = 0.000). Compared with the MARS technology, the MMAR technology further reduced metal artifacts and improved the image quality. At VMI
conclusionsCompared with the MARS reconstruction technique of Discovery CT, the MMAR technique of Revolution CT is better to reduce the artifacts of dental implants in oral and maxillofacial imaging, which improves the image quality and the diagnostic value of surrounding soft tissues.
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Registered trials
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