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Improved Image Quality for Asymmetric Double-focal Cone-beam SPECT

  • Z. J. Cao
    ,
  • B. M.W. Tsui
  • University of North Carolina at Chapel Hill
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

To optimize both spatial resolution and detection efficiency in brain SPECT imaging using a rectangular camera, an asymmetric double-focal cone-beam collimator is proposed with the focal points located near the base plane of the patient's head. To fit the entire head into the field-of-view of the collimator with dimensions of 50cmx40cm and at a radius-of-rotation of 15 cm, the focal lengths of the collimator are 55 and 70 cm, respectively, in the transverse and axial directions. With this geometry, the artifacts in the reconstructed image produced by the Feldkamp algorithm are more severe compared to those in a symmetric cone-beam geometry, due to the larger vertex angle between the top of the head and the base plane. To improve the reconstructed image quality, a fully three-dimensional (3D) reconstruction algorithm developed previously for single-focal cone-beam SPECT was extended to the asymmetric double-focal conebeam geometry. The algorithm involves nonstationary 2D filtering and a reprojection technique for estimation of the missing data caused by a single-orbit cone-beam geometry. The results from simulation studies with the 3D Defrise slab phantom demonstrated that the fully 3D algorithm provided a much improved image quality in terms of reduced slice-to-slice cross talks and shape elongation compared to that produced by the conventional Feldkamp algorithm.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 1145-1148 (4 pages)

Journal (Volume, Issue Number)

IEEE Transactions on Nuclear Science (Volume 40, Issue 4)

Publication milestones

  • Published - 08/1993

Publication status

Published - 08/1993

ISSN

0018-9499

Publication IDs

  • Scopus: 0027646317

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Funding Details

*This work was supported in part by the NIH Grant R01 CA39463 and a GE research contract.
FunderFunding number
NIH
R01 CA39463