ArticleNeuroradiology2017
Reduction of metal artifacts due to dental hardware in computed tomography angiography: assessment of the utility of model-based iterative reconstruction.
Article in Neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- CT radiation dose reduction in patients with total hip arthroplasties using model-based iterative reconstruction and orthopaedic metal artefact reduction.Skeletal radiology · 2019Trial
- Comparison of platinum and gold fiducial markers for prostate radiotherapy: a phantom study.Radiological physics and technology · 2026Article
- Diagnostic value of a second-generation super-resolution deep learning-based reconstruction combined with a metal artifact reduction algorithm for pelvic CT.Skeletal radiology · 2026Article
- Evaluation of the effect of reducing metal artifacts in multi-detector CT imaging of zirconia and titanium implants.Oral radiology · 2025Article
- Effects of iterative metal artifact reduction techniques on diagnostic performance in patients with dental artifacts on carotid computed tomography angiography.Quantitative imaging in medicine and surgery · 2025Article
- Reduction of metal artefacts from bilateral hip prostheses during lower extremity computed tomography angiography: an experimental phantom study.Journal of medical radiation sciences · 2024Article
- Image Follow-Up After Flow Diverter Treatment Using Only Ultra-High Resolution CT Angiography with Model-Based Iterative Reconstruction: A Case Report.Yonago acta medica · 2024Article
- Utility of follow-up ultra-high-resolution CT angiography with model-based iterative reconstruction after flow diverter treatment for cerebral aneurysms.La Radiologia medica · 2023Article
- Lens dose reduction with a bismuth shield in neuro cone-beam computed tomography: an investigation on optimum shield device placement conditions.Radiological physics and technology · 2022Article
- Metal artefact reduction in the oral cavity using deep learning reconstruction algorithm in ultra-high-resolution computed tomography: a phantom study.Dento maxillo facial radiology · 2021Article
- Article
- Diagnostic Value of Model-Based Iterative Reconstruction Combined with a Metal Artifact Reduction Algorithm during CT of the Oral Cavity.AJNR. American journal of neuroradiology · 2020Article
- Known-component metal artifact reduction (KC-MAR) for cone-beam CT.Physics in medicine and biology · 2019Article
- The effect of tube voltage combination on image artefact and radiation dose in dual-source dual-energy CT: comparison between conventional 80/140 kV and 80/150 kV plus tin filter for gout protocol.European radiology · 2019Article
- Metal artifact reduction by filter-based dual-energy cone-beam computed tomography on a bench-top micro-CBCT system: concept and demonstration.Journal of radiation research · 2018Article
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6 authors.
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Abstract
purposeThe aim of this study is to assess the value of adaptive statistical iterative reconstruction (ASIR) and model-based iterative reconstruction (MBIR) for reduction of metal artifacts due to dental hardware in carotid CT angiography (CTA).
methodsThirty-seven patients with dental hardware who underwent carotid CTA were included. CTA was performed with a GE Discovery CT750 HD scanner and reconstructed with filtered back projection (FBP), ASIR, and MBIR. We measured the standard deviation at the cervical segment of the internal carotid artery that was affected most by dental metal artifacts (SD
resultsMBIR significantly improved AI compared with FBP and ASIR (p < 0.001, each). We found no significant difference in AI between FBP and ASIR (p = 0.502). The visual score of MBIR was significantly better than those of FBP and ASIR (p < 0.001, each), whereas the scores of ASIR were the same as those of FBP. Kappa values indicated good inter-observer agreements in all reconstructed images (0.747-0.778).
conclusionsMBIR resulted in a significant reduction in artifact from dental hardware in carotid CTA.
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