• DocumentCode
    451739
  • Title

    Azimuthal interpolation and noise reduction

  • Author

    Penbel, C. ; Kachelrieb, M. ; Knaup, Michael ; Kalender, Willi A.

  • Author_Institution
    Inst. of Med. Phys., Erlangen-Nurnberg Univ., Erlangen
  • Volume
    4
  • fYear
    2005
  • fDate
    23-29 Oct. 2005
  • Firstpage
    1946
  • Lastpage
    1949
  • Abstract
    The in-plane resolution of CT imaging depends not only on the number of detector elements per slice, but also on the number of projections used for reconstruction. If the number of projections is too small, artifacts occur. To overcome this problem, it suggests itself to increase the number of projections by interpolation. For this purpose a new interpolation method was developed. This method - advanced sinogram interpolation (ASI) - doubles the number of projection rows of a given parallel sinogram and thereby increases azimuthal resolution. The second field of application is noise reduction. It is possible to use ASI to decrease image noise. In particular, spatial resolution must be considered, as typically noise reduction can only be carried out at the expense of spatial resolution
  • Keywords
    computerised tomography; image denoising; image reconstruction; image resolution; interpolation; medical image processing; CT imaging; advanced sinogram interpolation; artifacts; azimuthal interpolation; azimuthal resolution; detector elements; in-plane resolution; noise reduction; projections; reconstruction; Biomedical imaging; Computed tomography; Detectors; Geometry; Image reconstruction; Image resolution; Interpolation; Noise reduction; Physics; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium Conference Record, 2005 IEEE
  • Conference_Location
    Fajardo
  • ISSN
    1095-7863
  • Print_ISBN
    0-7803-9221-3
  • Type

    conf

  • DOI
    10.1109/NSSMIC.2005.1596713
  • Filename
    1596713