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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wiant, D.B. Gersh, J.A. Bennett, M.C. Bourland, J.D. |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of Radiation Oncology, Wake Forest University School of Medicine, Winston-Salem, NC 27127 USA (Wiant, D.B.; Gersh, J.A.; Bennett, M.C.; Bourland, J.D.) |
| Abstract | A point source was used to sample the point spread function (PSF) at over 6000 locations within the field of view (FOV) of a General Electric Discovery ST PET scanner (DST) in 2D high sensitivity acquisition mode. These measurements were used to optimize the derivation of a system matrix for the DST. We found for 2D acquisition mode that a system matrix using a PSF with radial, depth, axial, and azimuthal dependence produced reconstructed images with greatly improved spatial resolution and contrast-noise ratios over the entire FOV, as compared to the use of a geometrically derived system matrix. The main improvements in resolution and contrast-noise resulted from the inclusion of depth dependence in the model, which accounts for large variations in sensitivity in the DST that are due to the septa and a span of 11 present in 2D acquisition. Finally, we determined that exploitation of symmetries, particularly along the axial dimension, allow a system matrix of similar quality to what we achieved with over 6000 samples to be created with just over 1000 samples, i.e. with an almost 80% reduction in sample size. |
| Starting Page | 3752 |
| Ending Page | 3758 |
| File Size | 1119566 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781424439614 |
| ISSN | 10957863 |
| DOI | 10.1109/NSSMIC.2009.5401881 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Positron emission tomography Image reconstruction Spatial resolution Samarium Detectors Jacobian matrices Reconstruction algorithms Electromagnetic scattering Particle scattering Geometry |
| Content Type | Text |
| Resource Type | Article |
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