Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)

Research on Parameters’ Determination and Imaging of CT System

Authors
Nan Qiao, Jiu Xiong, Qi Huang
Corresponding Author
Nan Qiao
Available Online March 2018.
DOI
10.2991/mmsa-18.2018.52How to use a DOI?
Keywords
filtered back projection algorithm; radon inverse transformation; tomography; CT system parameters; permutation function
Abstract

In this paper, to determine parameters of the CT system and reconstruct images, the geometric model of the template is used to calculate its parameters, and the image is reconstructed based on the Filtered back projection algorithm, which contains the RADON inverse transform and the usage of calibrated CT system parameters. To remove the noise of the image background, we optimize the image of CT with discrete properties of pixels. What is more, this paper presents a new template that is more appropriate to determine CT system parameters. And it is more conducive to calculating the unit spacing and the receiving angle of detectors, and therefore this new system improves the calibration accuracy of CT system parameters.

Copyright
© 2018, 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 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
Series
Advances in Intelligent Systems Research
Publication Date
March 2018
ISBN
10.2991/mmsa-18.2018.52
ISSN
1951-6851
DOI
10.2991/mmsa-18.2018.52How to use a DOI?
Copyright
© 2018, 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  - Nan Qiao
AU  - Jiu Xiong
AU  - Qi Huang
PY  - 2018/03
DA  - 2018/03
TI  - Research on Parameters’ Determination and Imaging of CT System
BT  - Proceedings of the 2018 International Conference on Mathematics, Modelling, Simulation and Algorithms (MMSA 2018)
PB  - Atlantis Press
SP  - 229
EP  - 232
SN  - 1951-6851
UR  - https://doi.org/10.2991/mmsa-18.2018.52
DO  - 10.2991/mmsa-18.2018.52
ID  - Qiao2018/03
ER  -