• DocumentCode
    1127389
  • Title

    EnPiT: filtered back-projection algorithm for helical CT using an n-Pi acquisition

  • Author

    Bontus, Claas ; Köhler, Thomas ; Proksa, Roland

  • Author_Institution
    Philips Res. Labs., Hamburg, Germany
  • Volume
    24
  • Issue
    8
  • fYear
    2005
  • Firstpage
    977
  • Lastpage
    986
  • Abstract
    In this paper, we formulate a reconstruction algorithm for an n-Pi acquisition, where n can be any positive odd integer. The algorithm is a generalization of the method presented in (Bontus et al. 2003). It is based on the results obtained by Katsevich (2004). For the algorithm, different sets of filter-lines have to be defined. We describe the variation of these lines along the detector in some detail, before we discuss, how the method gives all Radon-plane contributions the correct weighting. The different sets of filter-lines are all contained within the n-Pi window, such that a practical realization is possible. Reconstruction results, which we present in the final section, show convincing image quality.
  • Keywords
    computerised tomography; image reconstruction; medical image processing; EnPiT; Radon-plane contributions; filter-lines; filtered back-projection; helical computerised tomography; image reconstruction; n-Pi acquisition; Algorithm design and analysis; Band pass filters; Computed tomography; Detectors; Digital filters; Equations; Filtering; Image reconstruction; Reconstruction algorithms; Sampling methods; CT reconstruction; Computer tomography (CT); filtered back-projection; Algorithms; Artificial Intelligence; Brain; Humans; Imaging, Three-Dimensional; Numerical Analysis, Computer-Assisted; Phantoms, Imaging; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Tomography, Spiral Computed;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2005.850545
  • Filename
    1490667