ArticleDento maxillo facial radiology2018
An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability.
Article in Dento maxillo facial radiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diagnostic performance of cone-beam computed tomography for scaphoid fractures: a systematic review and diagnostic meta-analysis.Scientific reports · 2021Pooled it
- Head motion and perception of discomfort by young children during simulated CBCT examinations.Dento maxillo facial radiology · 2021Trial
- Halve the dose while maintaining image quality in paediatric Cone Beam CT.Scientific reports · 2019Trial
- [A deep blur learning-based motion artifact reduction algorithm for dental cone-beam computed tomography images].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2024Article
- Image quality for visualization of cracks and fine endodontic structures using 10 CBCT devices with various scanning protocols and artefact conditions.Scientific reports · 2023Article
- The Effect of Changes in the Angular Position of Implants on Metal Artifact Reduction in Cone-Beam Computed Tomography Images: A Scoping Review.Radiology research and practice · 2023Article
- Dental imaging using an ultra-high resolution photon-counting CT system.Scientific reports · 2022Article
- Objective assessment of the combined effect of exomass-related- and motion artefacts in cone beam CT.Dento maxillo facial radiology · 2021Article
- Head motion during cone-beam computed tomography: Analysis of frequency and influence on image quality.Imaging science in dentistry · 2020Article
- Does the metal artifact reduction algorithm activation mode influence the magnitude of artifacts in CBCT images?Imaging science in dentistry · 2020Article
- Quantitative assessment of variation in CBCT image technical parameters related to CBCT detector lateral-offset position.Dento maxillo facial radiology · 2020Article
- Impact of movement and motion-artefact correction on image quality and interpretability in CBCT units with aligned and lateral-offset detectors.Dento maxillo facial radiology · 2020Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo assess the impact of head motion artefacts and an automated artefact-correction system on cone beam CT (CBCT) image quality and interpretability for simulated diagnostic tasks.
methodsA partially dentate human skull was mounted on a robot simulating four types of head movement (anteroposterior translation, nodding, lateral rotation, and tremor), at three distances (0.75, 1.5, and 3 mm) based on two movement patterns (skull returning/not returning to the initial position). Two diagnostic tasks were simulated: dental implant planning and detection of a periapical lesion. Three CBCT units were used to examine the skull during the movements and no-motion (control): Cranex 3Dx (CRA), Orthophos SL 3D (ORT), and X1 without (X1
resultsInterobserver agreement for image interpretability was good (average κ = 0.68). Regarding dental implant planning, X1
conclusionsThe automated motion artefact-correction system significantly enhanced CBCT image quality and interpretability.
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