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Improving Sparse Compressed Sensing Medical CT Image Reconstruction

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Abstract

For the incomplete scanning data, the traditional algorithms cannot guarantee that the medical CT reconstruction image meets the diagnostic requirements. In this case, a medical CT image reconstruction method with the limited angle projection is proposed. According to the theory of compressed sensing, medical CT images with a sparse representation can be reconstructed from the incomplete scanning data and provide reliable information for the diagnosis. The sparse representation of CT images is performed by the sparse patch-ordering wavelet-tree transform, and the digital features of sparse coefficients are used as regularization terms to ensure the validity of the solution. Meantime, the weighting term is added into the fidelity item to reduce the influence of noise on the reconstruction results. The extended Lagrange method is used to solve the constrained objective function iteratively so as to realize the reconstruction of low dose medical CT images. Simulation results demonstrate that the reconstructed image can not only satisfy the completeness condition of projection data, but also can reconstruct the high quality image and effectively improve the mean square error and the structural similarity index.

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ACKNOWLEDGMENTS

The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions during the revision of this paper.

Funding

This work was supported by Tianjin research program of application foundation and advanced technology (nos. 16JCYBJC28800, 13JCYBJC15600).

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Authors and Affiliations

  1. School of Electric Information Engineering, Tianjin University, 300072, Tianjin, China

    Jingyu Zhang, Jianfu Teng & Yu Bai

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  1. Jingyu Zhang
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  2. Jianfu Teng
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  3. Yu Bai
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Corresponding author

Correspondence to Yu Bai.

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This article does not contain any studies involving human or animals participants performed by any of the authors.

CONFLICT OF INTEREST

The authors declare that they have no conflict of interest.

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Jingyu Zhang, Teng, J. & Bai, Y. Improving Sparse Compressed Sensing Medical CT Image Reconstruction. Aut. Control Comp. Sci. 53, 281–289 (2019). https://doi.org/10.3103/S0146411619030106

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