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Chinese Journal of Lasers, Volume. 49, Issue 24, 2407207(2022)

Study on Tooth Cone Beam CT Image Reconstruction Based on Improved U-net Network

Haoxin Liu1,2,3,4, Yuanmeng Zhao1,2,3,4、*, Cunlin Zhang1,2,3,4, Fengxia Zhu1,2,3,4, and Moxuan Yang1,2,3,4
Author Affiliations
  • 1Department of Physics, Capital Normal University, Beijing 100048, China
  • 2Key Laboratory of Terahertz Optoelectronics, Ministry of Education, Beijing 100048, China
  • 3Beijing Key Laboratory for Terahertz Spectroscopy and Imaging, Beijing 100048, China
  • 4Beijing Advanced Innovation Center for Imaging Theory and Technology, Beijing 100048, China
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    AbstractGet PDF(in Chinese)
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    References (22)
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    Figures & Tables(10)
    Schematic diagram of U-net network[17]

    Fig. 1. Schematic diagram of U-net network[17]

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    Schematic diagram of spatial attention mechanism module[21]

    Fig. 2. Schematic diagram of spatial attention mechanism module[21]

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    Schematic diagram of improved U-net network

    Fig. 3. Schematic diagram of improved U-net network

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    Names of vertices and edges of voxel elements from isosurface extraction and 14 topological structures[22]

    Fig. 4. Names of vertices and edges of voxel elements from isosurface extraction and 14 topological structures[22]

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    Using Labelme to annotate datasets

    Fig. 5. Using Labelme to annotate datasets

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    MIoU parameters of U-net models

    Fig. 6. MIoU parameters of U-net models

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    Recognition results of U-net models. (a) Images to be recognized; (b) recognition results using original U-net model; (c) recognition results using improved U-net model

    Fig. 7. Recognition results of U-net models. (a) Images to be recognized; (b) recognition results using original U-net model; (c) recognition results using improved U-net model

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    Recognition result of image with dental fillings. (a) Image to be recognized; (b) recognition result using improved U-net model

    Fig. 8. Recognition result of image with dental fillings. (a) Image to be recognized; (b) recognition result using improved U-net model

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    Reconstruction result of oral CBCT data using MicroDicom Viewer

    Fig. 9. Reconstruction result of oral CBCT data using MicroDicom Viewer

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    Reconstruction result of oral CBCT data using proposed algorithm

    Fig. 10. Reconstruction result of oral CBCT data using proposed algorithm

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    Haoxin Liu, Yuanmeng Zhao, Cunlin Zhang, Fengxia Zhu, Moxuan Yang. Study on Tooth Cone Beam CT Image Reconstruction Based on Improved U-net Network[J]. Chinese Journal of Lasers, 2022, 49(24): 2407207

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    Paper Information

    Category: Optical Diagnostics and Therapy

    Received: Aug. 16, 2022

    Accepted: Oct. 21, 2022

    Published Online: Dec. 19, 2022

    The Author Email: Zhao Yuanmeng (zhao.yuanmeng@cnu.edu.cn)

    DOI:10.3788/CJL202249.2407207

    Topics

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