• DocumentCode
    1412554
  • Title

    Spiral interpolation algorithm for multislice spiral CT. I. Theory

  • Author

    Schaller, Stefan ; Flohr, Thomas ; Klingenbeck, Klaus ; Krause, Jens ; Fuchs, Theobald ; Kalender, Willi A.

  • Author_Institution
    Div. of Comput. Tomography, Siemens Med. Eng., Forchheim, Germany
  • Volume
    19
  • Issue
    9
  • fYear
    2000
  • Firstpage
    822
  • Lastpage
    834
  • Abstract
    This paper presents the adaptive axial interpolator (AAI), a novel spiral interpolation approach for multislice spiral computed tomography (CT) implemented in a clinical multislice CT scanner, the SOMATOM Volume Zoom (Siemens Medical Systems, Forchheim, Germany). The method works on parallel-beam data generated from the acquired fan-beam data by azimuthal rebinning. Spiral interpolation is performed by distance-dependent weighting; i.e., for each ray, its distance to the image plane is evaluated and serves as an argument to a freely selectable weighting function, resulting in a weight factor. A normalization step is applied to the weight factors to ensure that the sum of all corresponding weights (i.e., the weights applied to rays that contribute to the same ray in the interpolated sinogram) is 1. By selection of appropriate weighting functions and suitable adjustment of the tube current, it is possible to keep the slice sensitivity profiles (SSP) as well as the pixel noise constant for all pitch values in the relevant range. Also, a large range of slice-thickness can be reconstructed from a given collimation. The method is, thus, very versatile. Further advantages are that it uses the entire applied dose for imaging and allows for efficient implementation using a table lookup approach.
  • Keywords
    computerised tomography; image reconstruction; interpolation; medical image processing; SOMATOM Volume Zoom; adaptive axial interpolator; clinical multislice CT scanner; corresponding weights; interpolated sinogram; medical diagnostic imaging; multislice spiral CT; pitch values; pixel noise; pixel noise constant; slice sensitivity profiles; spiral interpolation algorithm; table lookup approach; tube current; tube current adjustment; Biomedical imaging; Collimators; Computed tomography; Detectors; Image reconstruction; Image resolution; Interpolation; Optical imaging; Spirals; X-ray imaging; Algorithms; Head; Humans; Image Processing, Computer-Assisted; Radiography, Thoracic; Tomography, X-Ray Computed;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.887832
  • Filename
    887832