Literature DB >> 24708447

A pragmatic approach to determine the optimal kVp in cone beam CT: balancing contrast-to-noise ratio and radiation dose.

R Pauwels1, O Silkosessak, R Jacobs, R Bogaerts, H Bosmans, S Panmekiate.   

Abstract

OBJECTIVES: To determine the optimal kVp setting for a particular cone beam CT (CBCT) device by maximizing technical image quality at a fixed radiation dose.
METHODS: The 3D Accuitomo 170 (J. Morita Mfg. Corp., Kyoto, Japan) CBCT was used. The radiation dose as a function of kVp was measured in a cylindrical polymethyl methacrylate (PMMA) phantom using a small-volume ion chamber. Contrast-to-noise ratio (CNR) was measured using a PMMA phantom containing four materials (air, aluminium, polytetrafluoroethylene and low-density polyethylene), which was scanned using 180 combinations of kVp/mA, ranging from 60/1 to 90/8. The CNR was measured for each material using PMMA as background material. The pure effect of kVp and mAs on the CNR values was analysed. Using a polynomial fit for CNR as a function of mA for each kVp value, the optimal kVp was determined at five dose levels.
RESULTS: Absorbed doses ranged between 0.034 mGy mAs(-1) (14 × 10 cm, 60 kVp) and 0.108 mGy mAs(-1) (14 × 10 cm, 90 kVp). The relation between kVp and dose was quasilinear (R(2) > 0.99). The effect of mA and kVp on CNR could be modelled using a second-degree polynomial. At a fixed dose, there was a tendency for higher CNR values at increasing kVp values, especially at low dose levels. A dose reduction through mA was more efficient than an equivalent reduction through kVp in terms of image quality deterioration.
CONCLUSIONS: For the investigated CBCT model, the most optimal contrast at a fixed dose was found at the highest available kVp setting. There is great potential for dose reduction through mA with a minimal loss in image quality.

Entities:  

Keywords:  cone beam computed tomography; image contrast; optimization; radiation dose

Mesh:

Substances:

Year:  2014        PMID: 24708447      PMCID: PMC4082271          DOI: 10.1259/dmfr.20140059

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


  22 in total

1.  Optimization of cone beam CT exposure for pre-surgical evaluation of the implant site.

Authors:  A Dawood; J Brown; V Sauret-Jackson; S Purkayastha
Journal:  Dentomaxillofac Radiol       Date:  2011-12-19       Impact factor: 2.419

2.  Effect of electric potential and current on mandibular linear measurements in cone beam CT.

Authors:  S Panmekiate; W Apinhasmit; A Petersson
Journal:  Dentomaxillofac Radiol       Date:  2012-04-12       Impact factor: 2.419

Review 3.  Maxillofacial cone beam computed tomography: essence, elements and steps to interpretation.

Authors:  William C Scarfe; Z Li; W Aboelmaaty; S A Scott; A G Farman
Journal:  Aust Dent J       Date:  2012-03       Impact factor: 2.291

4.  Dose distribution for dental cone beam CT and its implication for defining a dose index.

Authors:  R Pauwels; C Theodorakou; A Walker; H Bosmans; R Jacobs; K Horner; R Bogaerts
Journal:  Dentomaxillofac Radiol       Date:  2012-06-29       Impact factor: 2.419

5.  Evaluation of subjective image quality in relation to diagnostic task for cone beam computed tomography with different fields of view.

Authors:  Sara Lofthag-Hansen; Anne Thilander-Klang; Kerstin Gröndahl
Journal:  Eur J Radiol       Date:  2010-10-20       Impact factor: 3.528

6.  Effects of tube current on cone-beam computerized tomography image quality for presurgical implant planning in vitro.

Authors:  Jaideep Sur; Kenji Seki; Hiroshi Koizumi; Koh Nakajima; Tomohiro Okano
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  2010-07-02

7.  Effective dose range for dental cone beam computed tomography scanners.

Authors:  Ruben Pauwels; Jilke Beinsberger; Bruno Collaert; Chrysoula Theodorakou; Jessica Rogers; Anne Walker; Lesley Cockmartin; Hilde Bosmans; Reinhilde Jacobs; Ria Bogaerts; Keith Horner
Journal:  Eur J Radiol       Date:  2010-12-31       Impact factor: 3.528

8.  Dosimetry and image quality of four dental cone beam computed tomography scanners compared with multislice computed tomography scanners.

Authors:  A Suomalainen; T Kiljunen; Y Käser; J Peltola; M Kortesniemi
Journal:  Dentomaxillofac Radiol       Date:  2009-09       Impact factor: 2.419

9.  Variability of dental cone beam CT grey values for density estimations.

Authors:  R Pauwels; O Nackaerts; N Bellaiche; H Stamatakis; K Tsiklakis; A Walker; H Bosmans; R Bogaerts; R Jacobs; K Horner
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

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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  38 in total

1.  Development of a low-dose protocol for cone beam CT examinations of the anterior maxilla in children.

Authors:  Jose A Hidalgo Rivas; Keith Horner; Badri Thiruvenkatachari; Jonathan Davies; Chrysoula Theodorakou
Journal:  Br J Radiol       Date:  2015-08-17       Impact factor: 3.039

2.  Comparison of clinical values between cone beam computed tomography and conventional intraoral radiography in periodontal and infrabony defect assessment.

Authors:  Supreda Suphanantachat; Keenna Tantikul; Suphot Tamsailom; Pasupen Kosalagood; Kanokwan Nisapakultorn; Kanoknadda Tavedhikul
Journal:  Dentomaxillofac Radiol       Date:  2017-03-23       Impact factor: 2.419

3.  Determination of size-specific exposure settings in dental cone-beam CT.

Authors:  Ruben Pauwels; Reinhilde Jacobs; Ria Bogaerts; Hilde Bosmans; Soontra Panmekiate
Journal:  Eur Radiol       Date:  2016-04-23       Impact factor: 5.315

4.  Evaluation of the diagnostic efficacy of two cone beam computed tomography protocols in reliably detecting the location of the inferior alveolar nerve canal.

Authors:  Aditya Tadinada; Sydney Schneider; Sumit Yadav
Journal:  Dentomaxillofac Radiol       Date:  2017-03-13       Impact factor: 2.419

Review 5.  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

6.  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

7.  Evaluation of cone-beam computed tomography diagnostic image quality using 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:  2018-03-15       Impact factor: 1.852

8.  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

Review 9.  Technical aspects of dental CBCT: state of the art.

Authors:  R Pauwels; K Araki; J H Siewerdsen; S S Thongvigitmanee
Journal:  Dentomaxillofac Radiol       Date:  2015       Impact factor: 2.419

10.  Evaluation of the effects of positioning and configuration on contrast-to-noise ratio in the quality control of a 3D Accuitomo 170 dental CBCT system.

Authors:  Catherine Taylor
Journal:  Dentomaxillofac Radiol       Date:  2016-03-23       Impact factor: 2.419

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