ArticleMedicine2020
Metal artifacts reduction in computed tomography: A phantom study to compare the effectiveness of metal artifact reduction algorithm, model-based iterative reconstruction, and virtual monochromatic imaging.
Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The evaluation of non-contrast MRA using a modified balanced steady state free precession technique in the follow-up of renal artery aneurysm after embolotherapy.Abdominal radiology (New York) · 2026Article
- Dual-Energy Computed Tomography, a New Metal Artifact Reduction Technique for Total Hip Arthroplasty: Is There a Light in the Darkness?Journal of clinical medicine · 2025Review
- Experimental and clinical validation of an artificial intelligence metal artifact correction algorithm for low-dose following up CT of percutaneous vertebroplasty.Quantitative imaging in medicine and surgery · 2024Article
- A robust index for metal artifact quantification in computed tomography.Journal of applied clinical medical physics · 2024Article
- Assessment of material identification and quantification in the presence of metals using spectral photon counting CT.PloS one · 2024Article
- A diagnostic accuracy study on an innovative auto-edge detection technique for identifying simulated implant fractures on radiographic images.Scientific reports · 2022Article
- Reduction of Metal Artefacts in Pediatric Imaging - New Possibilities Through Photon Counting Computed Tomography.In vivo (Athens, Greece)Article
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6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of this study was to compare the effectiveness of a metal artifact reduction algorithm (MAR), model-based iterative reconstruction (MBIR), and virtual monochromatic imaging (VMI) for reducing metal artifacts in CT imaging.A phantom study was performed for quantitatively evaluating the dark bands and fine streak artifacts generated by unilateral hip prostheses. Images were obtained by conventional scanning at 120 kilovolt peak, and reconstructed using filtered back projection, MAR, and MBIR. Furthermore, virtual monochromatic images (VMIs) at 70 kilo-electron volts (keV) and 140 keV with/without use of MAR were obtained by dual-energy CT. The extents and mean CT values of the dark bands and the differences in the standard deviations and location parameters of the fine streak artifacts evaluated by the Gumbel method in the images obtained by each of the methods were statistically compared by analyses of variance.Significant reduction of the extent of the dark bands was observed in the images reconstructed using MAR than in those not reconstructed using MAR (all, P < .01). Images obtained by VMI at 70 keV and 140 keV with use of MAR showed significantly increased mean CT values of the dark bands as compared to those obtained by reconstructions without use of MAR (all, <.01). Significant reduction of the difference in the standard deviations used to evaluate fine streak artifacts was observed in each of the image sets obtained with VMI at 140 keV with/without MAR and conventional CT with MBIR as compared to the images obtained using other methods (all, P < .05), except between VMI at 140 keV without MAR and conventional CT with MAR. The location parameter to evaluate fine streak artifacts was significantly reduced in CT images obtained using MBIR and in images obtained by VMI at 140 keV with/without MAR as compared to those obtained using other reconstruction methods (all, P < .01).In our present study, MAR appeared to be the most effective reconstruction method for reducing dark bands in CT images, and MBIR and VMI at 140 keV appeared to the most effective for reducing streak artifacts.
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