Nuclear Science and Techniques

《核技术》(英文版) ISSN 1001-8042 CN 31-1559/TL     2019 Impact factor 1.556

Nuclear Science and Techniques ›› 2017, Vol. 28 ›› Issue (8): 116 doi: 10.1007/s41365-017-0262-3

• LOW ENERGY ACCELERATOR, RAY AND APPLICATIONS • Previous Articles     Next Articles

Three-dimensional weighting reconstruction algorithm for circular cone-beam CT under large scan angles

Ya-Fei Yang1, Ding-Hua Zhang1, Kui-Dong Huang1, Fu-Qiang Yang1, Zong-Zhao Gao1

  1. 1 Key Lab of Contemporary Design and Integrated Manufacturing Technology (Northwestern Polytechnical University), Ministry of Education, Xi’an 710072, China
  • Supported by:
    Supported by the National Natural Science Foundation of China (Nos. 51675437 and 51605389), Aeronautical Science Fund of China (No. 2014ZE53059), Natural Science Basic Research Plan in Shaanxi Province of China (No. 2016JM5003), Fundamental Research Funds for the Central Universities of China (No.3102014KYJD022), and the Graduate Starting Seed Fund of Northwestern Polytechnical University (Nos. Z2016075 and Z2016081).
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Ya-Fei Yang, Ding-Hua Zhang, Kui-Dong Huang, Fu-Qiang Yang, Zong-Zhao Gao. Three-dimensional weighting reconstruction algorithm for circular cone-beam CT under large scan angles.Nuclear Science and Techniques, 2017, 28(8): 116     doi: 10.1007/s41365-017-0262-3


Improving imaging quality of cone-beam CT under large cone angle scan has been an important area of CT imaging research. Considering the idea of conjugate rays and making up missing data, we propose a three-dimensional (3D) weighting reconstruction algorithm for cone-beam CT. The 3D weighting function is added in the back-projection process to reduce the axial density drop and improve the accuracy of FDK algorithm. Having a simple structure, the algorithm can be implemented easily without rebinning the native cone-beam data into coneparallel beam data. Performance of the algorithm is evaluated using two computer simulations and a real industrial component, and the results show that the algorithm achieves better performance in reduction of axial intensity drop artifacts and has a wide range of application.

Key words: FDK algorithm, Missing data, Conjugate rays, Three-dimensional weighting