• DocumentCode
    1313084
  • Title

    Quantitative 3D data extraction using contiguous volumes

  • Author

    Dykstra, C.J. ; Harrop, R. ; Celler, A.M. ; Atkins, M.S.

  • Author_Institution
    Div. of Nucl. Med., VH&HSC, Vancouver, BC, Canada
  • Volume
    44
  • Issue
    4
  • fYear
    1997
  • fDate
    8/1/1997 12:00:00 AM
  • Firstpage
    1571
  • Lastpage
    1577
  • Abstract
    A new image analysis method, called contiguous volume analysis, has been developed to automatically extract 3D information from emission images. The method considers volumes of activity and displays data about them in a format which allows quantitative image comparison. This method of numerical analysis enables the authors to show, for example, whether or not information has been gained, lost or changed through the use of different filters and different attenuation and scatter correction, and reconstruction algorithms. Since the analysis method is consistent with a visual inspection of the data, intuitive insights into the meaning of the data are possible, allowing a better understanding of the effects of the different image processing techniques on the images. The method can be used to find patterns of activity in sets of images, and may be used to quantify noise, allowing an objective determination of which volumes in an image are meaningful
  • Keywords
    medical image processing; positron emission tomography; single photon emission computed tomography; PET; SPECT; attenuation correction; contiguous volume analysis; filters; medical diagnostic imaging; nuclear medicine; numerical analysis method; quantitative 3D data extraction; reconstruction algorithms; scatter correction; Attenuation; Data mining; Displays; Image analysis; Information analysis; Information filtering; Information filters; Numerical analysis; Reconstruction algorithms; Scattering;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/23.632734
  • Filename
    632734