ArticleDento maxillo facial radiology2014
Variation in voxel value distribution and effect of time between exposures in six CBCT units.
Article in Dento maxillo facial radiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Feasibility of frozen soft tissues to simulate fresh soft tissue conditions in cone beam CT scans.Dento maxillo facial radiology · 2024Article
- Comparative Evaluation of Artifacts Originated by Four Different Post Materials Using Different CBCT Settings.Tomography (Ann Arbor, Mich.) · 2022Article
- Novel Anterior Cranial Base Area for Voxel-Based Superimposition of Craniofacial CBCTs.Journal of clinical medicine · 2022Article
- Effect of the Field of View Size on CBCT Artifacts Caused by the Presence of Metal Objects in the Exomass.International journal of dentistry · 2022Article
- Reliability of Different Anterior Cranial Base Reference Areas for Voxel-Based Superimposition.Journal of clinical medicine · 2021Article
- Influence of the exomass on the detection of simulated root fracture in cone-beam CT - anDento maxillo facial radiology · 2021Article
- Does the metal artifact reduction algorithm activation mode influence the magnitude of artifacts in CBCT images?Imaging science in dentistry · 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
- Are metal artefact reduction algorithms effective to correct cone beam CT artefacts arising from the exomass?Dento maxillo facial radiology · 2019Article
- Evaluation of soft tissues simulant materials in cone beam computed tomography.Dento maxillo facial radiology · 2019Article
- Metallic materials in the exomass impair cone beam CT voxel values.Dento maxillo facial radiology · 2018Article
- An ex vivo study of automated motion artefact correction and the impact on cone beam CT image quality and interpretability.Dento maxillo facial radiology · 2018Article
- Soft tissue coverage on the segmentation accuracy of the 3D surface-rendered model from cone-beam CT.Clinical oral investigations · 2017Article
- Standardized method to quantify the variation in voxel value distribution in patient-simulated CBCT data sets.Dento maxillo facial radiology · 2015Article
- Assessment of Random Error in Phantom Dosimetry with the Use of Error Simulation in Statistical Software.BioMed research international · 2015Article
- CBCT-based bone quality assessment: are Hounsfield units applicable?Dento maxillo facial radiology · 2015Review
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3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The aim of this study is to assess the variation in voxel value distribution in volumetric data sets obtained by six cone beam CT (CBCT) units, and the effect of time between exposures. Six CBCT units [Cranex(®) 3D (CRAN; Soredex Oy, Tuusula, Finland), Scanora(®) 3D (SCAN; Soredex Oy), NewTom™ 5G (NEWT; QR Srl, Verona, Italy), Promax(®) Dimax 3 (Planmeca Oy, Helsinki, Finland), i-CAT (Imaging Sciences International, Hatfield, PA) and 3D Accuitomo FPD80 (Morita, Kyoto, Japan)] were tested. Two volumetric data sets of a dry human skull embedded in acrylic were acquired by each CBCT unit in two sessions on separate days. Each session consisted of 20 exposures: 10 acquired with 30 min between exposures and 10 acquired immediately one after the other. CBCT data were exported as digital imaging and communications in medicine (DICOM) files and converted to text files. The text files were re-organized to contain x-, y- and z-position and grey shade for each voxel. The files were merged to contain 1 record per voxel position, including the voxel values from the 20 exposures in a session. For each voxel, subtractions were performed between Data Set 1 and the remaining 19 data sets (1 - 2, 1 - 3, etc) in a session. Means, medians, ranges and standard deviations for grey shade variation in the subtraction data sets were calculated for each unit and session. For all CBCT units, variation in voxel values was observed throughout the 20 exposures. A "fingerprint" for the grey shade variation was observed for CRAN, SCAN and NEWT. For the other units, the variation was (apparently) randomly distributed. Large discrepancies in voxel value distribution are seen in CBCT images. This variation should be considered in studies that assess minute changes in CBCT images.
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