Literature DB >> 25442498

A phantom for simplified image quality control of dental cone beam computed tomography units.

Gerald R Torgersen1, Caroline Hol2, Anne Møystad1, Kristina Hellén-Halme3, Mats Nilsson4.   

Abstract

OBJECTIVE: The purpose of this work was to develop an inexpensive phantom for simplified image quality assurance (IQA) together with algorithms for objective evaluation of image quality parameters and to integrate these components into an easy-to-use software package. This should help make quality control of dental cone beam computed tomography (CBCT) units accessible, easy, and affordable for any specialist or general practitioner. STUDY
DESIGN: Our study developed an inexpensive polymethyl methacrylate (Plexiglas) phantom containing objects and structures for objective quantification of the most important image-quality parameters in CBCT imaging. It also paired the phantom with a software package, based on open-source software, for automatic processing and analysis.
RESULTS: The software produces objectively measured IQA data for low- and high-contrast resolution, uniformity, noise characteristics, and geometric linearity.
CONCLUSIONS: The authors consider the phantom and methods presented in this article to be a step toward helping clinical dental personnel perform regular quality assurance on CBCT units.
Copyright © 2014 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25442498     DOI: 10.1016/j.oooo.2014.08.003

Source DB:  PubMed          Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol


  9 in total

1.  Cluster signal-to-noise analysis for evaluation of the information content in an image.

Authors:  Warangkana Weerawanich; Mayumi Shimizu; Yohei Takeshita; Kazutoshi Okamura; Shoko Yoshida; Kazunori Yoshiura
Journal:  Dentomaxillofac Radiol       Date:  2017-12-11       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.  Quantitative performance characterization of image quality and radiation dose for a CS 9300 dental cone beam computed tomography machine.

Authors:  Elham Abouei; Sierra Lee; Nancy L Ford
Journal:  J Med Imaging (Bellingham)       Date:  2015-11-18

Review 4.  The missing link in image quality assessment in digital dental radiography.

Authors:  Kazutoshi Okamura; Kazunori Yoshiura
Journal:  Oral Radiol       Date:  2019-07-13       Impact factor: 1.852

5.  Factors affecting modulation transfer function measurements in cone-beam computed tomographic images.

Authors:  Jin-Woo Choi
Journal:  Imaging Sci Dent       Date:  2019-06-24

6.  An anthropomorphic maxillofacial phantom using 3-dimensional printing, polyurethane rubber and epoxy resin for dental imaging and dosimetry.

Authors:  Sawyer Rhae Badiuk; David K Sasaki; Daniel W Rickey
Journal:  Dentomaxillofac Radiol       Date:  2021-06-16       Impact factor: 2.419

7.  Application of a newly developed software program for image quality assessment in cone-beam computed tomography.

Authors:  Marcus Vinicius Linhares de Oliveira; António Carvalho Santos; Graciano Paulo; Paulo Sergio Flores Campos; Joana Santos
Journal:  Imaging Sci Dent       Date:  2017-06-22

8.  A comprehensive assessment of physical image quality of five different scanners for head CT imaging as clinically used at a single hospital centre-A phantom study.

Authors:  Patrizio Barca; Fabio Paolicchi; Giacomo Aringhieri; Federica Palmas; Daniela Marfisi; Maria Evelina Fantacci; Davide Caramella; Marco Giannelli
Journal:  PLoS One       Date:  2021-01-14       Impact factor: 3.240

9.  Automated development of the contrast-detail curve based on statistical low-contrast detectability in CT images.

Authors:  Choirul Anam; Ariij Naufal; Toshioh Fujibuchi; Kosuke Matsubara; Geoff Dougherty
Journal:  J Appl Clin Med Phys       Date:  2022-07-09       Impact factor: 2.243

  9 in total

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