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Research on tomographic image reconstruction algorithms based on fixed-point rotation X-CT system

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Abstract

Aiming at the problem of parameter calibration and image reconstruction of typical two-dimensional CT system, this paper uses back projection, iradon function, Fourier transform, Lambert law, visualization and other methods to establish projection centroid model, convolution back projection model, TV constrained iterative filtering back projection model, and uses MATLAB, Solidworks, Lingo and other software to visualize data types, so as to achieve better results. Better to find X-CT system tomography reconstruction methods.

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Acknowledgements

This work was supported by the National Natural Science Foundation of China under grant No. 51706218, the Open Project Program of the State Key Laboratory of Fire Science under grant No. HZ2020-KF01, the National Key Research and Development Program of China under grant No. 2018YFC0808600 and the Project of Anhui Jianzhu University 2019 Talent Research Program under grant No. 2019QDZ21.

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Authors and Affiliations

  1. College of Environment and Energy Engineering, Anhui Jianzhu University, Hefei, 230031, Anhui, China

    Chao Ding, Weiwei Wang, Hailang He & Wanting Yang

  2. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, 230026, People’s Republic of China

    Chao Ding

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  1. Chao Ding
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  2. Weiwei Wang
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Correspondence to Chao Ding.

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Ding, C., Wang, W., He, H. et al. Research on tomographic image reconstruction algorithms based on fixed-point rotation X-CT system. Multimed Tools Appl 79, 25463–25496 (2020). https://doi.org/10.1007/s11042-020-08861-2

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  • DOI: https://doi.org/10.1007/s11042-020-08861-2

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