• DocumentCode
    1622843
  • 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
    3
  • fYear
    1996
  • Firstpage
    1822
  • 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. Such rigorous, numerical analysis enables the authors to show, for example, whether or not important information has been gained, lost or changed through the use of different filters and different reconstruction, attenuation and scatter correction 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 data can be used to find patterns of activity in sets of images, and might also be used to quantify noise, allowing an objective determination of which volumes in an image are significant
  • Keywords
    medical image processing; positron emission tomography; single photon emission computed tomography; PET; SPECT; activity patterns; attenuation correction; contiguous volumes; filters; important information; medical diagnostic imaging; nuclear medicine; quantitative 3D data extraction; quantitative image comparison; reconstruction algorithm; rigorous numerical analysis; scatter correction; Attenuation; Data mining; Displays; Image analysis; Image reconstruction; Information analysis; Information filtering; Information filters; Numerical analysis; Scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE
  • Conference_Location
    Anaheim, CA
  • ISSN
    1082-3654
  • Print_ISBN
    0-7803-3534-1
  • Type

    conf

  • DOI
    10.1109/NSSMIC.1996.587983
  • Filename
    587983