Literature DB >> 22376097

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

William C Scarfe1, Z Li, W Aboelmaaty, S A Scott, A G Farman.   

Abstract

Maxillofacial cone beam computed tomography (CBCT) is one of the most significant advances in dental imaging since rotational panoramic radiography. While the acquisition of CBCT data is technically simple, numerous parameters should be considered so that CBCT imaging is performed appropriately and 'task specific'. This involves an understanding of not only exposure (e.g. geometric and software parameters to minimize patient dose, while sustaining diagnostic image quality) but also image formatting options to maximize image display. CBCT images contain far more detailed information of the maxillofacial region than do panoramic or other 2-D images and necessitate a thorough knowledge of the 3-D anatomy of the region and considerations of variability in the range of the anatomically normal. These principles, procedures and protocols, together with the interpretation of CBCT images form the basis of best practices in maxillofacial CBCT imaging. This communication aims to provide: (1) an overview of the fundamental principles of operation of maxillofacial CBCT technology; (2) an understanding of 'task specific' equipment, image selection and image display modes; and (3) a systematic methodology for sequencing interpretation of CBCT images.
© 2012 Australian Dental Association.

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Year:  2012        PMID: 22376097     DOI: 10.1111/j.1834-7819.2011.01657.x

Source DB:  PubMed          Journal:  Aust Dent J        ISSN: 0045-0421            Impact factor:   2.291


  51 in total

1.  Cervical vertebrae maturation index estimates on cone beam CT: 3D reconstructions vs sagittal sections.

Authors:  Marco A E Bonfim; André L F Costa; Acácio Fuziy; Michel E L Ximenez; Flávio A Cotrim-Ferreira; Rívea I Ferreira-Santos
Journal:  Dentomaxillofac Radiol       Date:  2015-10-28       Impact factor: 2.419

2.  Anatomic variations and lesions of the mandibular canal detected by cone beam computed tomography.

Authors:  Guilherme Mariano Fiuza Leite; Juliana Pelinsari Lana; Vinícius de Carvalho Machado; Flávio Ricardo Manzi; Paulo Eduardo Alencar Souza; Martinho Campolina Rebello Horta
Journal:  Surg Radiol Anat       Date:  2013-12-15       Impact factor: 1.246

3.  Image quality assessment of three cone beam CT machines using the SEDENTEXCT CT phantom.

Authors:  J Bamba; K Araki; A Endo; T Okano
Journal:  Dentomaxillofac Radiol       Date:  2013       Impact factor: 2.419

4.  Automated implant segmentation in cone-beam CT using edge detection and particle counting.

Authors:  Ruben Pauwels; Reinhilde Jacobs; Hilde Bosmans; Pisha Pittayapat; Pasupen Kosalagood; Onanong Silkosessak; Soontra Panmekiate
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-07       Impact factor: 2.924

5.  Comparison of the influence of FOV sizes and different voxel resolutions for the assessment of periodontal defects.

Authors:  M E Kolsuz; N Bagis; K Orhan; H Avsever; K Ö Demiralp
Journal:  Dentomaxillofac Radiol       Date:  2015-04-22       Impact factor: 2.419

6.  Use of dentomaxillofacial cone beam computed tomography in dentistry.

Authors:  Kıvanç Kamburoğlu
Journal:  World J Radiol       Date:  2015-06-28

Review 7.  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

8.  Comparison of the accuracy of full head cone beam CT images obtained using a large field of view and stitched images.

Authors:  Mehmet Ozgur Ozemre; Ayse Gulsahi
Journal:  Dentomaxillofac Radiol       Date:  2018-06-19       Impact factor: 2.419

Review 9.  Cone Beam Computed Tomography in Orthodontics.

Authors:  Furkan Dindaroğlu; Enver Yetkiner
Journal:  Turk J Orthod       Date:  2016-03-01

Review 10.  Clinical guidelines for dental cone-beam computed tomography.

Authors:  Takafumi Hayashi; Yoshinori Arai; Toru Chikui; Sachiko Hayashi-Sakai; Kazuya Honda; Hiroko Indo; Taisuke Kawai; Kaoru Kobayashi; Shumei Murakami; Masako Nagasawa; Munetaka Naitoh; Eiji Nakayama; Yutaka Nikkuni; Hideyoshi Nishiyama; Noriaki Shoji; Shigeaki Suenaga; Ray Tanaka
Journal:  Oral Radiol       Date:  2018-01-11       Impact factor: 1.852

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