• DocumentCode
    37321
  • Title

    A Filtered Back-Projection Algorithm for 4π Compton Camera Data

  • Author

    Haefner, Andrew ; Gunter, Donald ; Barnowski, Ross ; Vetter, Kai

  • Author_Institution
    Appl. Nucl. Phys. Group, Lawrence Berkeley Nat. Lab., Berkeley, CA, USA
  • Volume
    62
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1911
  • Lastpage
    1917
  • Abstract
    Compton imaging is a gamma-ray imaging technique useful for photons with energies in the range of a hundred keV to several MeV. Measuring gamma rays with a Compton camera results in cone data that needs to be mathematically inverted to determine the incident flux distribution. In the past, filtered back-projection solutions for Compton telescope data required sums of spherical harmonics or stereographically mapping the back-projection, which can result in imaging artifacts. We present a solution to this inversion problem that removes these complexities by embedding the 2-D directional image on the surface of a sphere S2 into R3 where it is easily solvable. In this manner we relate 2-D Compton 4π imaging to the 3-D Radon transform, which has known solutions. To accomplish this, the cone data is converted to planar data. Additionally we show how the planar geometry can be used to produce a computationally efficient implementation. This reconstruction is demonstrated with a two-plane, double-sided strip, HPGe Compton camera.
  • Keywords
    Compton effect; germanium radiation detectors; Compton camera data; Compton imaging; Compton telescope data; HPGe Compton camera; Radon transform; filtered back-projection algorithm; gamma-ray imaging technique; incident flux distribution; inversion problem; planar geometry; Cameras; Detectors; Geometry; Image reconstruction; Image resolution; Scattering; Compton imaging; Compton telescope; filtered back-projection; radon transform;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2015.2457436
  • Filename
    7182804