Proceedings of the 2020 9th International Conference on Applied Science, Engineering and Technology (ICASET 2020)

Research on CT System Parameter Calibration and Imaging

Authors
Bing-Lan WU, Fang-Yun CAI, Xiao YAN, Yan-Zhou LI, Qing-Jie LI, Xiao-Yue ZHOU
Corresponding Author
Xiao-Yue ZHOU
Available Online 3 December 2020.
DOI
10.2991/aer.k.201203.015How to use a DOI?
Keywords
CT system parameter calibration, Iradon transformation, Filter back projection
Abstract

The calibration of CT system parameters is of great significance to the research of CT imaging technology. In this paper, the parameters of CT system are calibrated with the help of the received information of geometry, and the corresponding mathematical model is established by using Iradon transform and filter back projection algorithm. The CT image is rebuilt and the location, geometry and other information of unknown medium are determined at the same time. Finally, the error and stability analysis of this model is given and a new template with clearer imaging is designed.

Copyright
© 2020, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2020 9th International Conference on Applied Science, Engineering and Technology (ICASET 2020)
Series
Advances in Engineering Research
Publication Date
3 December 2020
ISBN
978-94-6239-287-8
ISSN
2352-5401
DOI
10.2991/aer.k.201203.015How to use a DOI?
Copyright
© 2020, 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  - Bing-Lan WU
AU  - Fang-Yun CAI
AU  - Xiao YAN
AU  - Yan-Zhou LI
AU  - Qing-Jie LI
AU  - Xiao-Yue ZHOU
PY  - 2020
DA  - 2020/12/03
TI  - Research on CT System Parameter Calibration and Imaging
BT  - Proceedings of the 2020 9th International Conference on Applied Science, Engineering and Technology (ICASET 2020)
PB  - Atlantis Press
SP  - 72
EP  - 77
SN  - 2352-5401
UR  - https://doi.org/10.2991/aer.k.201203.015
DO  - 10.2991/aer.k.201203.015
ID  - WU2020
ER  -