Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling

Radiation Dose Image Quality Optomization in Dental Implantalogy

Authors
Ahmed Al-Humairi, Xiaoming Zheng, Ho Leung Ip, Bilal El Masoud
Corresponding Author
Ahmed Al-Humairi
Available Online May 2016.
DOI
10.2991/amsm-16.2016.90How to use a DOI?
Keywords
optimization; image quality, CBCT; visual grading analysis
Abstract

This paper is aimed to investigate the possibility of using a new method of dose and image quality optimization by employing visual grading analysis with a slight modification. Cone beam CT was utilized with different exposure settings to acquisition several images to skull phantom. Three different observers were involved with moderate agreement using Kappa factor. As a result, the new method introduced could be applied successfully in radiation dose and image quality optimization with the potential of achieving low dose level protocols with acceptable image quality in dental implantalogy.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
Series
Advances in Computer Science Research
Publication Date
May 2016
ISBN
978-94-6252-198-8
ISSN
2352-538X
DOI
10.2991/amsm-16.2016.90How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ahmed Al-Humairi
AU  - Xiaoming Zheng
AU  - Ho Leung Ip
AU  - Bilal El Masoud
PY  - 2016/05
DA  - 2016/05
TI  - Radiation Dose Image Quality Optomization in Dental Implantalogy
BT  - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling
PB  - Atlantis Press
SP  - 403
EP  - 406
SN  - 2352-538X
UR  - https://doi.org/10.2991/amsm-16.2016.90
DO  - 10.2991/amsm-16.2016.90
ID  - Al-Humairi2016/05
ER  -