Evaluation of few-view reconstruction parameters for illicit substance detection using fast-neutron transmission spectroscopy
Journal Article
·
· IEEE Transactions on Nuclear Science
- Argonne National Lab., IL (United States)
The authors have evaluated the performance of an illicit substance detection system that performs image reconstruction using the Maximum Likelihood algebraic reconstruction algorithm, a fe number of projections, and relatively coarse projection and pixel resolution. This evaluation was done using receiver operator curves and simulated data from the fast-neutron transmission spectroscopy system operated in a mode to detect explosives in luggage. The results show that increasing the number of projection angles is more important than increasing the projection resolution, the reconstructed pixel resolution, of the number of iterations in the Maximum Likelihood algorithm. A 100% detection efficiency with essentially no false positives is possible for a square block of RDX explosive, a projection resolution of 2 cm, a reconstructed pixel size of 2x2 cm, and five projection angles. For rectangular shaped explosives more angles are required to obtain the same system performance.
- OSTI ID:
- 277668
- Report Number(s):
- CONF-951073--
- Journal Information:
- IEEE Transactions on Nuclear Science, Journal Name: IEEE Transactions on Nuclear Science Journal Issue: 3Pt2 Vol. 43; ISSN 0018-9499; ISSN IETNAE
- Country of Publication:
- United States
- Language:
- English
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