Literature DB >> 26090934

Optimization of dental CBCT exposures through mAs reduction.

R Pauwels1,2, L Seynaeve2, J C G Henriques2, C de Oliveira-Santos3, P C Souza4, F H Westphalen4, I R F Rubira-Bullen5, R F Ribeiro-Rotta6, M I B Rockenbach7, F Haiter-Neto8, P Pittayapat1,2, H Bosmans9, R Bogaerts10, R Jacobs1.   

Abstract

OBJECTIVES: To investigate the effect of tube current-exposure time (mAs) reduction on clinical and technical image quality for different CBCT scanners, and to determine preliminary minimally acceptable values for the mAs and contrast-to-noise ratio (CNR) in CBCT.
METHODS: A polymethyl methacrylate (PMMA) phantom and an anthropomorphic skull phantom, containing a human skeleton embedded in polyurethane, were scanned using four CBCT devices, including seven exposure protocols. For all protocols, the mAs was varied within the selectable range. Using the PMMA phantom, the CNRAIR was measured and corrected for voxel size. Eight axial slices and one coronal slice showing various anatomical landmarks were selected for each CBCT scan of the skull phantom. The slices were presented to six dentomaxillofacial radiologists, providing scores for various anatomical and diagnostic parameters.
RESULTS: A hyperbolic relationship was seen between CNRAIR and mAs. Similarly, a gradual reduction in clinical image quality was seen at lower mAs values; however, for several protocols, image quality remained acceptable for a moderate or large mAs reduction compared with the standard exposure setting, depending on the clinical application. The relationship between mAs, CNRAIR and observer scores was different for each CBCT device. Minimally acceptable values for mAs were between 9 and 70, depending on the criterion and clinical application.
CONCLUSIONS: Although noise increased at a lower mAs, clinical image quality often remained acceptable at exposure levels below the manufacturer's recommended setting, for certain patient groups. Currently, it is not possible to determine minimally acceptable values for image quality that are applicable to multiple CBCT models.

Entities:  

Keywords:  computer-assisted image processing; computer-assisted radiographic image interpretation; cone-beam computed tomography; quality control

Mesh:

Substances:

Year:  2015        PMID: 26090934      PMCID: PMC5083902          DOI: 10.1259/dmfr.20150108

Source DB:  PubMed          Journal:  Dentomaxillofac Radiol        ISSN: 0250-832X            Impact factor:   2.419


  24 in total

1.  Quantification of metal artifacts on cone beam computed tomography images.

Authors:  Ruben Pauwels; Harry Stamatakis; Hilde Bosmans; Ria Bogaerts; Reinhilde Jacobs; Keith Horner; Kostas Tsiklakis
Journal:  Clin Oral Implants Res       Date:  2011-12-15       Impact factor: 5.977

2.  A suggested technique for the application of the cone beam computed tomography periapical index.

Authors:  S Esposito; M Cardaropoli; E Cotti
Journal:  Dentomaxillofac Radiol       Date:  2011-12       Impact factor: 2.419

3.  Assessment of bone segmentation quality of cone-beam CT versus multislice spiral CT: a pilot study.

Authors:  Miet Loubele; Frederik Maes; Filip Schutyser; Guy Marchal; Reinhilde Jacobs; Paul Suetens
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  2006-04-21

4.  The 2007 Recommendations of the International Commission on Radiological Protection. ICRP publication 103.

Authors: 
Journal:  Ann ICRP       Date:  2007

5.  A comparative evaluation of Cone Beam Computed Tomography (CBCT) and Multi-Slice CT (MSCT). Part II: On 3D model accuracy.

Authors:  Xin Liang; Ivo Lambrichts; Yi Sun; Kathleen Denis; Bassam Hassan; Limin Li; Ruben Pauwels; Reinhilde Jacobs
Journal:  Eur J Radiol       Date:  2009-05-06       Impact factor: 3.528

6.  Cone beam CT: a current overview of devices.

Authors:  A Nemtoi; C Czink; D Haba; A Gahleitner
Journal:  Dentomaxillofac Radiol       Date:  2013       Impact factor: 2.419

7.  Estimating cancer risk from dental cone-beam CT exposures based on skin dosimetry.

Authors:  Ruben Pauwels; Lesley Cockmartin; Deimante Ivanauskaité; Ausra Urbonienė; Sophia Gavala; Catherine Donta; Kostas Tsiklakis; Reinhilde Jacobs; Hilde Bosmans; Ria Bogaerts; Keith Horner
Journal:  Phys Med Biol       Date:  2014-06-24       Impact factor: 3.609

8.  Cone beam CT image artefacts related to head motion simulated by a robot skull: visual characteristics and impact on image quality.

Authors:  R Spin-Neto; J Mudrak; L H Matzen; J Christensen; E Gotfredsen; A Wenzel
Journal:  Dentomaxillofac Radiol       Date:  2012-07-27       Impact factor: 2.419

9.  Application of European protocol in the evaluation of contrast-to-noise ratio and mean glandular dose for two digital mammography systems.

Authors:  W E Muhogora; A Devetti; R Padovani; P Msaki; F Bonutti
Journal:  Radiat Prot Dosimetry       Date:  2008-02-18       Impact factor: 0.972

10.  Development and applicability of a quality control phantom for dental cone-beam CT.

Authors:  Ruben Pauwels; Harry Stamatakis; Giorgos Manousaridis; Adrian Walker; Koen Michielsen; Hilde Bosmans; Ria Bogaerts; Reinhilde Jacobs; Keith Horner; Kostas Tsiklakis
Journal:  J Appl Clin Med Phys       Date:  2011-11-15       Impact factor: 2.102

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  25 in total

1.  Thyroid shielding in cone beam computed tomography: recommendations towards appropriate use.

Authors:  Ruben Pauwels; Keith Horner; Jenia Vassileva; Madan M Rehani
Journal:  Dentomaxillofac Radiol       Date:  2019-07-09       Impact factor: 2.419

Review 2.  Quality assurance phantoms for cone beam computed tomography: a systematic literature review.

Authors:  Marcus V L de Oliveira; Ann Wenzel; Paulo S F Campos; Rubens Spin-Neto
Journal:  Dentomaxillofac Radiol       Date:  2017-02-17       Impact factor: 2.419

3.  A new method to evaluate image quality of CBCT images quantitatively without observers.

Authors:  Yohei Takeshita; Mayumi Shimizu; Kazutoshi Okamura; Shoko Yoshida; Warangkana Weerawanich; Kenji Tokumori; Gainer R Jasa; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2017-02-17       Impact factor: 2.419

4.  Determination of optimum exposure parameters for dentoalveolar structures of the jaws using the CB MercuRay system with cluster signal-to-noise analysis.

Authors:  Warangkana Weerawanich; Mayumi Shimizu; Yohei Takeshita; Kazutoshi Okamura; Shoko Yoshida; Gainer R Jasa; Kazunori Yoshiura
Journal:  Oral Radiol       Date:  2018-09-14       Impact factor: 1.852

5.  Image quality optimization using a narrow vertical detector dental cone-beam CT.

Authors:  Danieli Moura Brasil; Ruben Pauwels; Wim Coucke; Francisco Haiter-Neto; Reinhilde Jacobs
Journal:  Dentomaxillofac Radiol       Date:  2019-01-31       Impact factor: 2.419

6.  Comparison of panoramic radiography and cone beam CT in the assessment of juxta-apical radiolucency.

Authors:  Eduarda Helena Leandro Nascimento; Anne Caroline Costa Oenning; Bernardo Barbosa Freire; Hugo Gaêta-Araujo; Francisco Haiter-Neto; Deborah Queiroz Freitas
Journal:  Dentomaxillofac Radiol       Date:  2017-11-01       Impact factor: 2.419

7.  kVp, mA, and voxel size effect on 3D voxel-based superimposition.

Authors:  Manhal Eliliwi; Mohamed Bazina; Juan Martin Palomo
Journal:  Angle Orthod       Date:  2019-09-24       Impact factor: 2.079

8.  Analysis of the priority of anatomic structures according to the diagnostic task in cone-beam computed tomographic images.

Authors:  Jin-Woo Choi
Journal:  Imaging Sci Dent       Date:  2016-12-20

Review 9.  Dose optimization by altering the operating potential and tube current exposure time product in dental cone beam CT: a systematic review.

Authors:  Rebekah Goulston; Jonathan Davies; Keith Horner; Frederick Murphy
Journal:  Dentomaxillofac Radiol       Date:  2016-01-06       Impact factor: 2.419

10.  Image quality optimization of narrow detector dental computed tomography for paediatric patients.

Authors:  Danieli Moura Brasil; Ruben Pauwels; Wim Coucke; Francisco Haiter-Neto; Reinhilde Jacobs
Journal:  Dentomaxillofac Radiol       Date:  2019-03-29       Impact factor: 2.419

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