• DocumentCode
    1354150
  • Title

    Fast Katsevich Algorithm Based on GPU for Helical Cone-Beam Computed Tomography

  • Author

    Yan, Guorui ; Tian, Jie ; Zhu, Shouping ; Qin, Chenghu ; Dai, Yakang ; Yang, Fei ; Dong, Di ; Wu, Ping

  • Author_Institution
    Med. Image Process. Group, Chinese Acad. of Sci., Beijing, China
  • Volume
    14
  • Issue
    4
  • fYear
    2010
  • fDate
    7/1/2010 12:00:00 AM
  • Firstpage
    1053
  • Lastpage
    1061
  • Abstract
    Katsevich reconstruction algorithm represents a breakthrough for helical cone-beam computed tomography (CT) reconstruction, because it is the first exact cone-beam reconstruction algorithm of filtered backprojection (FBP) type with 1-D shift-invariant filtering. Although FBP-type reconstruction algorithm is effective, 3-D CT reconstruction is time-consuming, and the accelerations of Katsevich algorithm on CPU or cluster have been widely studied. In this paper, Katsevich algorithm is accelerated by using graphics processing unit, including flat-detector and curved-detector geometry in the case of helical orbit. An overscan formula is derived, which helps to avoid unnecessary overscan in practical CT scanning. Based on the overscan formula, a volume-blocking method in device memory is proposed. One advantage of the blocking method is that it can reconstruct large volume with high speed.
  • Keywords
    computerised tomography; diagnostic radiography; image reconstruction; medical image processing; 1-D shift-invariant filtering; 3-D CT reconstruction; GPU; curved-detector; fast Katsevich algorithm; filtered backprojection; flat-detector; graphics processing unit; helical cone-beam computed tomography; volume-blocking method; Computed tomography (CT); Katsevich algorithm; graphics processing unit (GPU); overscan; Algorithms; Models, Theoretical; Tomography;
  • fLanguage
    English
  • Journal_Title
    Information Technology in Biomedicine, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1089-7771
  • Type

    jour

  • DOI
    10.1109/TITB.2009.2036368
  • Filename
    5352294