Abstract

A fully 3-D reconstruction algorithm has been developed to reconstruct data from a 16 ring PET camera (a Siemens/CTI 953B) with automatically retractable septa. The tomograph is able to acquire coincidences between any pair of detector rings and septa retraction increases the total system count rate by a factor of 7.8 (including scatter) and 4.7 (scatter subtracted) for a uniform, 20 cm diameter cylinder. The reconstruction algorithm is based on 3-D filtered backprojection, expressed in a form suitable for the multi-angle sinogram data. Sinograms which are not measured due to the truncated cylindrical geometry of the tomograph, but which are required for a spatially invariant response function, are obtained by forward projection. After filtering, the complete set of sinograms is backprojected into a 3-D volume of 128x128x31 voxels using a voxel-driven procedure. The algorithm has been validated with simulation, and tested with both phantom and clinical data from the 953B.

Keywords

Imaging phantomVoxelIterative reconstructionComputer visionProjection (relational algebra)PhysicsTomographyDetectorArtificial intelligenceReconstruction algorithmInvariant (physics)OpticsAlgorithmComputer science

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Publication Info

Year
1991
Type
article
Volume
10
Issue
4
Pages
505-512
Citations
194
Access
Closed

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D.W. Townsend, Antoine Geissbühler, Michel Defrise et al. (1991). Fully three-dimensional reconstruction for a PET camera with retractable septa. IEEE Transactions on Medical Imaging , 10 (4) , 505-512. https://doi.org/10.1109/42.108584

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DOI
10.1109/42.108584