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Acta Optica Sinica, Volume. 38, Issue 11, 1111002(2018)

Material Discrimination by Multi-Spectral CT Based on Image Total Variation and Tensor Dictionary

Peijun Chen1、*, Peng Feng1,2、*, Weiwen Wu1,3, Xiaochuan Wu1, Xiang Fu1, Biao Wei1, and Peng He1,2、*
Author Affiliations
  • 1 Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, China
  • 2 Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing 400044, China
  • 3 University of Massachusetts Lowell, Lowell, Massachusetts 0 1854, USA
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    Figures & Tables(6)
    Mouse thorax phantom after addition of iodine contrast agent (first channel)

    Fig. 1. Mouse thorax phantom after addition of iodine contrast agent (first channel)

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    Image reconstruction results of mouse thorax phantom by different algorithms in different energy channels

    Fig. 2. Image reconstruction results of mouse thorax phantom by different algorithms in different energy channels

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    Quantitative evaluation of image reconstruction results of mouse thorax phantom. (a) RMSE; (b) SSIM; (c) FSIM

    Fig. 3. Quantitative evaluation of image reconstruction results of mouse thorax phantom. (a) RMSE; (b) SSIM; (c) FSIM

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    Mean values and corresponding relative biases of linear attenuation coefficient for iodine contrast agent, soft issue and bone. (a)(d) Iodine contrast agent; (b)(e) soft issue; (c)(f) bone

    Fig. 4. Mean values and corresponding relative biases of linear attenuation coefficient for iodine contrast agent, soft issue and bone. (a)(d) Iodine contrast agent; (b)(e) soft issue; (c)(f) bone

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    Material decomposition of reconstruction results obtained by different algorithms. (a) Bone; (b) soft issue; (c) iodine contrast agent; (d) color images after blending

    Fig. 5. Material decomposition of reconstruction results obtained by different algorithms. (a) Bone; (b) soft issue; (c) iodine contrast agent; (d) color images after blending

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    Convergence of average RMSE

    Fig. 6. Convergence of average RMSE

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    Peijun Chen, Peng Feng, Weiwen Wu, Xiaochuan Wu, Xiang Fu, Biao Wei, Peng He. Material Discrimination by Multi-Spectral CT Based on Image Total Variation and Tensor Dictionary[J]. Acta Optica Sinica, 2018, 38(11): 1111002

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    Paper Information

    Category: Imaging Systems

    Received: Mar. 6, 2018

    Accepted: Jun. 13, 2018

    Published Online: May. 9, 2019

    The Author Email:

    DOI:10.3788/AOS201838.1111002

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology