Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)

Reconstruction Model of CT System Based on Radon Inverse Transform

Authors
Yutong Li
Corresponding Author
Yutong Li
Available Online October 2017.
DOI
10.2991/meici-17.2017.94How to use a DOI?
Keywords
CT system; Irdon inverse transform; Calibration parameters; The reconstructed image
Abstract

This paper solves the problem of how to calibrate the parameters of a CT system with a structure-known template. We used the method of radon inverse transformation. The calibration parameters include three aspects: the distance of the detector unit, the rotation center of the CT system in the square tray position, and the direction of the X-ray. The detector unit spacing is 0.2759mm. The position of the rotation center of the CT system in the square tray is (-9.3806,5.5180).The initial angle of X-ray is 30.0400° for each increase 1°. At the end, this paper analyzes the error and obtains the rationality of its results.

Copyright
© 2017, 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 7th International Conference on Management, Education, Information and Control (MEICI 2017)
Series
Advances in Intelligent Systems Research
Publication Date
October 2017
ISBN
978-94-6252-412-5
ISSN
1951-6851
DOI
10.2991/meici-17.2017.94How to use a DOI?
Copyright
© 2017, 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  - Yutong Li
PY  - 2017/10
DA  - 2017/10
TI  - Reconstruction Model of CT System Based on Radon Inverse Transform
BT  - Proceedings of the 7th International Conference on Management, Education, Information and Control (MEICI 2017)
PB  - Atlantis Press
SP  - 493
EP  - 497
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-17.2017.94
DO  - 10.2991/meici-17.2017.94
ID  - Li2017/10
ER  -