Literature DB >> 30604636

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

Danieli Moura Brasil1, Ruben Pauwels2,3,4,5, Wim Coucke6, Francisco Haiter-Neto1, Reinhilde Jacobs2,3,7.   

Abstract

OBJECTIVES: : To determine the optimized kV setting for a narrow detector cone-beam CT (CBCT) unit.
METHODS: : Clinical (CL) and quantitative (QUANT) evaluations of image quality were performed using an anthropomorphic phantom. Technical (TECH) evaluation was performed with a polymethyl methacrylate phantom. Images were obtained using a PaX-i3D Green CBCT (Vatech, Hwaseong, Korea) device, with a large 21 × 19 and a medium 12 × 9 cm field of view (FOV), and high-dose (HD-ranging from 85 to 110 kV) and low-dose (LD-ranging from 75 to 95 kV) protocols, totaling four groups (21 × 19 cm HD, 21 × 19 cm LD, 12 × 9 cm HD, 12 × 9 cm LD). The radiation dose within each group was fixed by adapting the mA according to a predetermined dose-area product. For CL evaluation, three observers assessed images based on overall quality, sharpness, contrast, artefacts, and noise. For QUANT evaluation, mean gray value shift, % increase of standard deviation (SD), % of beam hardening and contrast-to-noise ratio (CNR) were calculated. For TECH evaluation, segmentation accuracy, CNR, metal artefact SD, metal object area, and sharpness were measured. Representative parameters were chosen for CL, QUANT, and TECH evaluations to determine the optimal kV based on biplot graphs. kV values of the same protocol were compared by the bootstrapping approach. The ones that had statistical differences with the best kV were considered as worse quality.
RESULTS: : Overall, kV values within the same group showed similar quality (p > 0.05), except for 110 kV in 21 × 19 cm HD and 85 kV in 12 × 9 cm HD of CL score; also 85, 90 kV in 21 × 19 cm HD and 75, 80 kV in 21 × 19 cm LD of QUANT score which were worse (p < 0.05).
CONCLUSION: : At a constant dose, low and high kV protocols yield acceptable image quality for a narrow-detector CBCT unit.

Entities:  

Keywords:  computed-assisted image analysis; cone-beam CT; image quality; imaging; optimization; phantoms

Mesh:

Year:  2019        PMID: 30604636      PMCID: PMC6476352          DOI: 10.1259/dmfr.20180357

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


  27 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.  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

3.  Image quality produced by different cone-beam computed tomography settings.

Authors:  Jeffrey C Kwong; J Martin Palomo; Michael A Landers; Alex Figueroa; Mark G Hans
Journal:  Am J Orthod Dentofacial Orthop       Date:  2008-02       Impact factor: 2.650

4.  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

5.  What is cone-beam CT and how does it work?

Authors:  William C Scarfe; Allan G Farman
Journal:  Dent Clin North Am       Date:  2008-10

6.  elastix: a toolbox for intensity-based medical image registration.

Authors:  Stefan Klein; Marius Staring; Keelin Murphy; Max A Viergever; Josien P W Pluim
Journal:  IEEE Trans Med Imaging       Date:  2009-11-17       Impact factor: 10.048

7.  Cone beam computed tomography radiation dose and image quality assessments.

Authors:  Sara Lofthag-Hansen
Journal:  Swed Dent J Suppl       Date:  2010

8.  Low-dose dental computed tomography: significant dose reduction without loss of image quality.

Authors:  P Rustemeyer; U Streubühr; J Suttmoeller
Journal:  Acta Radiol       Date:  2004-12       Impact factor: 1.990

9.  Image quality vs radiation dose of four cone beam computed tomography scanners.

Authors:  M Loubele; R Jacobs; F Maes; K Denis; S White; W Coudyzer; I Lambrichts; D van Steenberghe; P Suetens
Journal:  Dentomaxillofac Radiol       Date:  2008-09       Impact factor: 2.419

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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  3 in total

1.  Impact of metal artefacts on subjective perception of image quality of 13 CBCT devices.

Authors:  Victor Aquino Wanderley; Andre Ferreira Leite; Karla de Faria Vasconcelos; Ruben Pauwels; Francisca Müller-García; Kathrin Becker; Matheus L Oliveira; Reinhilde Jacobs
Journal:  Clin Oral Investig       Date:  2022-02-15       Impact factor: 3.573

2.  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

3.  Estimation of the radiation dose for dental spectral cone-beam CT.

Authors:  Kaan Orhan; Ruben Pauwels; Yi Chen; Dandan Song; Reinhilde Jacobs
Journal:  Dentomaxillofac Radiol       Date:  2021-04-29       Impact factor: 3.525

  3 in total

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