Abstract
The effect of data sampling on the quantitative accuracy of transmission CT images reconstructed from truncated projections is studied. Parallel-beam projections with different sets of acquisition parameters are simulated. In deciding whether a set of acquisition parameters provided sufficient sampling, the singular value decomposition of the projection matrix is used. The results of the study indicates that for noise-free data, the ring artifact which is present in images reconstructed using iterative algorithms can be reduced or completely eliminated provided that the sampling is sufficient and an adequate number of iterations is performed. Reconstruction using the singular value decomposition are obtained and correlated very well with the reconstructions obtained using iterative algorithms.
| Original language | English (US) |
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| Pages | 1336-1340 |
| Number of pages | 5 |
| State | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 3) - San Francisco, CA, USA Duration: Oct 21 1995 → Oct 28 1995 |
Other
| Other | Proceedings of the 1995 IEEE Nuclear Science Symposium and Medical Imaging Conference. Part 1 (of 3) |
|---|---|
| City | San Francisco, CA, USA |
| Period | 10/21/95 → 10/28/95 |
ASJC Scopus subject areas
- Radiation
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging