Parameter Calibration and Image Reconstruction of CT System

DOI

10.2991/cimns-18.2018.18How to use a DOI?

Keywords

Radon transform; group optimization; genetic algorithm; CT imaging; filtered back- projection

Abstract

In this paper, a single target fitting optimization model for parameter calibration of CT system was built based on the least square principle in combination with the attenuation rule of X-ray in media and the related theory of Radon transform. Applying this model to problem A of CUMCM in 2017, based on the method of grouping optimization, we applied genetic algorithm to solve the rotation center point and the spacing of detection units. The results obtained almost converge to the same value. Then under the calibrated CT system parameters, combined with the relevant theory of CT image reconstruction, we applied Fourier transform and Fourier Slice theorem to build a image reconstruction model of filtered back-projection. Based on the information received by the detector unit, the absorption rate information on every location was obtained, and the location as well as the shape of the medium on the tray were constructed. Finally, through the image reconstruction and comparison of the original data, the feasibility of the model is verified.

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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TY  - CONF
AU  - Mingxing Deng
AU  - Xiaodong Xie
AU  - Binke Xia
AU  - Tianhao Li
PY  - 2018/11
DA  - 2018/11
TI  - Parameter Calibration and Image Reconstruction of CT System
BT  - Proceedings of the 2018 3rd International Conference on Communications, Information Management and Network Security (CIMNS 2018)
PB  - Atlantis Press
SP  - 79
EP  - 83
SN  - 2352-538X
UR  - https://doi.org/10.2991/cimns-18.2018.18
DO  - 10.2991/cimns-18.2018.18
ID  - Deng2018/11
ER  -