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A Fully Three-Dimensional Reconstruction Algorithm with the Nonstationary Filter for Improved Single-Orbit 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

Conventional single-orbit cone beam tomography presents special problems. They include incomplete sampling and inadequate three-dimensional (3D) reconstruction algorithm. The commonly used Feldkamp reconstruction algorithm simply extends the two-dimensional (2D) fan beam algorithm to 3D cone beam geometry. A truly 3D reconstruction formulation has been derived for the single-orbit cone beam SPECT based on the 3D Fourier slice theorem. In the formulation, a nonstationary filter which depends on the distance from the central plane of the cone beam was derived. The filter is applied to the 2D projection data in directions along and normal to the axis-of-rotation. The 3D reconstruction algorithm with the nonstationary filter was evaluated using both computer simulation and experimental measurements. Significant improvement in image quality was demonstrated in terms of decreased artifacts and distortions in cone beam reconstructed images. However, compared with the Feldkamp algorithm, a five-fold increase in processing time is required. Further improvement in image quality needs complete sampling in frequency space.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 280-287 (8 pages)

Journal (Volume, Issue Number)

IEEE Transactions on Nuclear Science (Volume 40, Issue 3)

Publication milestones

  • Published - 06/1993

Publication status

Published - 06/1993

ISSN

0018-9499

Publication IDs

  • Scopus: 0027618016

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Funding Details

work was supported in part by Public Health Grant number ROlC.439463 and in part by the General Electrical Medical Systems. The authors are with the Department of Biomedical Engineering and Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 21599. IEEE Log Number 9208959.
FundersFunding number
General Electrical Medical Systems
-
Health Science Center School of Public Health
ROlC.439463