• DocumentCode
    792294
  • Title

    Approximate Volumetric System Models for MicroSPECT

  • Author

    Gregor, J. ; Benson, T. ; Gleason, S. ; Paulus, M. ; Figueroa, S. ; Hoffman, T. ; Kennel, S. ; Wall, J.

  • Author_Institution
    Tennessee Univ., Knoxville, TN
  • Volume
    53
  • Issue
    5
  • fYear
    2006
  • Firstpage
    2646
  • Lastpage
    2652
  • Abstract
    A microSPECT system has been developed for the purpose of studying murine models of amyloidosis in vivo. The system is equipped with two detector heads, each consisting of a multi-anode photomultiplier tube coupled to a pixellated NaI(Tl) crystal array. Images are reconstructed using an OS-EM algorithm. In this paper, we describe the associated volumetric system models that we have developed in support of both pinhole and parallel hole collimation. These models, which are precomputed and stored to disk prior to reconstruction, are based on simple inner-product computations and a region-growing like search defined by the conic view that each detector pixel has of the image voxels. We provide illustrative experimental results based on phantom and mouse data
  • Keywords
    bone; phantoms; photomultipliers; single photon emission computed tomography; solid scintillation detectors; NaI(Tl) crystal array; amyloidosis; bone scan; in vivo analysis; inner-product computations; microSPECT; mouse data; multianode photomultiplier tube; murine models; parallel hole collimation; phantom; pinhole collimation; region-growing like search; single photon emission computed tomography; small animal imaging; volumetric system models; Collimators; Detectors; Head; Image reconstruction; Imaging phantoms; In vivo; Mice; Photomultipliers; Pixel; Sensor arrays; Amyloid; bone scan; image reconstruction; single photon emission computed tomography; small animal imaging; system model;
  • fLanguage
    English
  • Journal_Title
    Nuclear Science, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9499
  • Type

    jour

  • DOI
    10.1109/TNS.2006.882774
  • Filename
    1710250