• DocumentCode
    3807432
  • Title

    Variable Pitch Reconstruction Using John´s Equation

  • Author

    Ba?ak ?lker Karbeyaz;Ram C. Naidu;Zhengrong Ying;Sergey B. Simanovsky;Matthew W. Hirsch;David A. Schafer;Carl R. Crawford

  • Author_Institution
    Analogic Corp., Peabody, MA
  • Volume
    27
  • Issue
    7
  • fYear
    2008
  • Firstpage
    897
  • Lastpage
    906
  • Abstract
    We present an algorithm to reconstruct helical cone beam computed tomography (CT) data acquired at variable pitch. The algorithm extracts a halfscan segment of projections using an extended version of the advanced single slice rebinning (ASSR) algorithm. ASSR rebins constant pitch cone beam data to fan beam projections that approximately lie on a plane that is tilted to optimally fit the source helix. For variable pitch, the error between the tilted plane chosen by ASSR and the source helix increases, resulting in increased image artifacts. To reduce the artifacts, we choose a reconstruction plane, which is tilted and shifted relative to the source trajectory. We then correct rebinned fan beam data using John´s equation to virtually move the source into the tilted and shifted reconstruction plane. Results obtained from simulated phantom images and scanner images demonstrate the applicability of the proposed algorithm.
  • Keywords
    "Equations","Image reconstruction","Computed tomography","Image segmentation","Biomedical imaging","Security","Three dimensional displays","Very large scale integration","Data mining","Computational modeling"
  • Journal_Title
    IEEE Transactions on Medical Imaging
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2008.922689
  • Filename
    4483770