• DocumentCode
    2012199
  • Title

    A fast and efficient parallel implementation for 3D-CBCT image reconstruction

  • Author

    Mingjun, Li ; Dinghua, Zhang ; Kuidong, Huang ; Qingchao, Yu ; Kuyu, Wang

  • Author_Institution
    Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xian
  • fYear
    2009
  • fDate
    11-12 May 2009
  • Firstpage
    105
  • Lastpage
    109
  • Abstract
    In the framework of nondestructive testing and evaluation (NDT/NDE), this paper deals with the problem of improving the speed of image reconstruction in three-dimensional cone-beam computed tomography (3D-CBCT). Image reconstruction of 3D-CBCT using FDK algorithm requires huge computational resource, due to the voluminous data to handle, and the long processing times. Parallel implementation, on multi-core computer, seems to be a good approach to solve the problem. In this study, we introduce Z-line data first reconstruction algorithm, which is based on the FDK algorithm, and execute it with SIMD and multi-core technology. In order to assess the effectiveness of the proposed approach, an illustrative result from representative numerical test cases is presented and discussed.
  • Keywords
    computerised tomography; image reconstruction; nondestructive testing; parallel processing; 3D-CBCT image reconstruction; FDK algorithm; SIMD; Z-line data first reconstruction algorithm; multicore computer; nondestructive evaluation; nondestructive testing; parallel implementation; three-dimensional cone-beam computed tomography; Central Processing Unit; Computational complexity; Computed tomography; Concurrent computing; Detectors; Distributed computing; Image reconstruction; Nondestructive testing; Reconstruction algorithms; Space technology; 3D-CBCT; FDK; SIMD; Z-line data first; multi-core; parallel;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Imaging Systems and Techniques, 2009. IST '09. IEEE International Workshop on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3482-4
  • Electronic_ISBN
    978-1-4244-3483-1
  • Type

    conf

  • DOI
    10.1109/IST.2009.5071612
  • Filename
    5071612