• DocumentCode
    3144496
  • Title

    Parallel no-waiting pipelining accelerating CT image reconstruction based on FPGA

  • Author

    Deng, Jingfei ; Bin Yan ; Li, Jianxin ; Li, Lei

  • Author_Institution
    China Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
  • Volume
    1
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    451
  • Lastpage
    455
  • Abstract
    On the research of applied three-dimensional computed tomography (CT) image reconstruction, the high-performance computing problem has always been one of the difficulties and hotspots. As a sort of hardware executed parallel in space domain and reconstructed in time domain, FPGA has developed rapidly in recent years. It has been widely used as high-performance parallel computing accelerating component. In this paper, the problem of accelerating the classical three-dimensional image reconstruction algorithm FDK with FPGA was studied. Then, the new accelerating method which was called parallel no-waiting pipelining was proposed. The experimental results showed that the method obtained a considerable speedup, and had the characteristics of resources optimization. The method may be taken as the useful reference for researchers working on FPGA applications and high-performance applications.
  • Keywords
    computerised tomography; field programmable gate arrays; image reconstruction; medical image processing; pipeline processing; FDK algorithm; FPGA; computed tomography; high-performance computing; high-performance parallel computing accelerating component; parallel no-waiting pipelining; three-dimensional image reconstruction; Acceleration; Computed tomography; Detectors; Field programmable gate arrays; Image reconstruction; Pipeline processing; Random access memory; CT; FPGA; image reconstruction; parallel computing; pipelining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639643
  • Filename
    5639643