Literature DB >> 28045345

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

Marcus V L de Oliveira1,2, Ann Wenzel3, Paulo S F Campos2, Rubens Spin-Neto3.   

Abstract

OBJECTIVES: To undertake a systematic review on quality assurance (QA) phantoms for CBCT imaging, including studies on the development and application of phantoms.
METHODS: The MEDLINE (PubMed) bibliographic database was searched until May 2016 for studies evaluating the development and use of phantoms in CBCT image QA. The search strategy was restricted to English language publications using the following combined terms: (Cone Beam CT) OR (Cone Beam Computed Tomography) OR (Cone-Beam Computed Tomography) OR (CBCT) AND (quality OR phantom). It was assessed which of the six image quality parameters stated by the European Commission could be evaluated with each phantom and which of them actually were.
RESULTS: The search strategy yielded 37 studies, which had developed and used (25 studies) or only used (12 studies) a phantom in CBCT image QA. According to the literature, in 7 phantoms, it is possible to evaluate 4 or more image quality parameters while in 11 phantoms, merely 1 parameter can be evaluated. Only two phantoms permit the evaluation of the six image quality parameters stated by the European Commission. The parameters, which can most often be evaluated using a phantom, are image density values, spatial resolution and geometric accuracy. The SEDENTEXCT phantom was used most frequently. In two studies, all quality parameters suggested by the European Commission were evaluated.
CONCLUSIONS: QA phantoms rarely allow all image quality parameters stated by the European Commission to be evaluated. Furthermore, alternative phantoms, which allow all image quality parameters to be evaluated in a single exposure, even for a small field of view, should be developed.

Keywords:  CBCT; image quality; quality assurance; quality control

Mesh:

Year:  2017        PMID: 28045345      PMCID: PMC5606268          DOI: 10.1259/dmfr.20160329

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


  52 in total

1.  Geometric accuracy of the NewTom 9000 Cone Beam CT.

Authors:  R Marmulla; R Wörtche; J Mühling; S Hassfeld
Journal:  Dentomaxillofac Radiol       Date:  2005-01       Impact factor: 2.419

2.  Density conversion factor determined using a cone-beam computed tomography unit NewTom QR-DVT 9000.

Authors:  M O Lagravère; Y Fang; J Carey; R W Toogood; G V Packota; P W Major
Journal:  Dentomaxillofac Radiol       Date:  2006-11       Impact factor: 2.419

3.  American Academy of Oral and Maxillofacial Radiology executive opinion statement on performing and interpreting diagnostic cone beam computed tomography.

Authors:  Laurie Carter; Allan G Farman; James Geist; William C Scarfe; Christos Angelopoulos; Madhu K Nair; Charles F Hildebolt; Donald Tyndall; Michael Shrout
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol Endod       Date:  2008-10

4.  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

5.  Study of the scan uniformity from an i-CAT cone beam computed tomography dental imaging system.

Authors:  J A Bryant; N A Drage; S Richmond
Journal:  Dentomaxillofac Radiol       Date:  2008-10       Impact factor: 2.419

6.  Analysis of intensity variability in multislice and cone beam computed tomography.

Authors:  Olivia Nackaerts; Frederik Maes; Hua Yan; Paulo Couto Souza; Ruben Pauwels; Reinhilde Jacobs
Journal:  Clin Oral Implants Res       Date:  2011-01-18       Impact factor: 5.977

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

Authors:  Gerald R Torgersen; Caroline Hol; Anne Møystad; Kristina Hellén-Halme; Mats Nilsson
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2014-08-15

8.  A quality assurance framework for the fully automated and objective evaluation of image quality in cone-beam computed tomography.

Authors:  Christian Steiding; Daniel Kolditz; Willi A Kalender
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

9.  Linear Measurement Accuracy of Eight Cone Beam Computed Tomography Scanners.

Authors:  Pasupen Kosalagood; Onanong C Silkosessak; Pisha Pittayapat; Pagaporn Pisarnturakit; Ruben Pauwels; Reinhilde Jacobs
Journal:  Clin Implant Dent Relat Res       Date:  2014-03-28       Impact factor: 3.932

10.  Comparison of physical quality assurance between Scanora 3D and 3D Accuitomo 80 dental CT scanners.

Authors:  Ahmed S Ali; Dareen Fteita; Jarmo Kulmala
Journal:  Libyan J Med       Date:  2015-06-18       Impact factor: 1.743

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  8 in total

1.  Accuracy and Reproducibility of Linear and Angular Measurements in Virtual Reality: a Validation Study.

Authors:  Asif Ahmed Anik; Brian A Xavier; Jan Hansmann; Emmanuel Ansong; Jinsong Chen; Linping Zhao; Edward Michals
Journal:  J Digit Imaging       Date:  2020-02       Impact factor: 4.056

2.  Spatial resolution measurements by Radia diagnostic software with SEDENTEXCT image quality phantom in cone beam CT for dental use.

Authors:  Hiroshi Watanabe; Yoshikazu Nomura; Ami Kuribayashi; Tohru Kurabayashi
Journal:  Dentomaxillofac Radiol       Date:  2017-12-07       Impact factor: 2.419

3.  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

4.  The importance of routine quality control for reproducible pulmonary measurements by in vivo micro-CT.

Authors:  Martina Mambrini; Laura Mecozzi; Erica Ferrini; Ludovica Leo; Davide Bernardi; Andrea Grandi; Nicola Sverzellati; Livia Ruffini; Mario Silva; Franco Fabio Stellari
Journal:  Sci Rep       Date:  2022-06-11       Impact factor: 4.996

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

Review 6.  Two decades of research on CBCT imaging in DMFR - an appraisal of scientific evidence.

Authors:  Hugo Gaêta-Araujo; André Ferreira Leite; Karla de Faria Vasconcelos; Reinhilde Jacobs
Journal:  Dentomaxillofac Radiol       Date:  2021-02-15       Impact factor: 2.419

7.  Optimization of exposure parameters and relationship between subjective and technical image quality in cone-beam computed tomography.

Authors:  Ha-Na Park; Chang-Ki Min; Kyoung-A Kim; Kwang-Joon Koh
Journal:  Imaging Sci Dent       Date:  2019-06-24

8.  Evaluation of metal artefacts for two CBCT devices with a new dental arch phantom.

Authors:  Luciano Augusto Cano Martins; Polyane Mazucatto Queiroz; Yuri Nejaim; Karla de Faria Vasconcelos; Francisco Carlos Groppo; Francisco Haiter-Neto
Journal:  Dentomaxillofac Radiol       Date:  2020-03-16       Impact factor: 2.419

  8 in total

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