Iterative Reconstruction of Coded Source Neutron Radiographs

Journal Article · Tue Jan 01 00:00:00 EST 2013 · IEEE Transactions on Nuclear Science

DOI:https://doi.org/10.1109/TNS.2013.2255894· OSTI ID:1093062

Santos-Villalobos, Hector J ^[1]; Bingham, Philip R ^[1]; Gregor, Jens ^[2]

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1. ORNL
2. University of Tennessee, Knoxville (UTK)

Use of a coded source facilitates high-resolution neutron imaging through magnifications but requires that the radiographic data be deconvolved. A comparison of direct deconvolution with two different iterative algorithms has been performed. One iterative algorithm is based on a maximum likelihood estimation (MLE)-like framework and the second is based on a geometric model of the neutron beam within a least squares formulation of the inverse imaging problem. Simulated data for both uniform and Gaussian shaped source distributions was used for testing to understand the impact of non-uniformities present in neutron beam distributions on the reconstructed images. Results indicate that the model based reconstruction method will match resolution and improve on contrast over convolution methods in the presence of non-uniform sources. Additionally, the model based iterative algorithm provides direct calculation of quantitative transmission values while the convolution based methods must be normalized base on known values.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). High Flux Isotope Reactor (HFIR)
• Sponsoring Organization: USDOE Office of Science (SC)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 1093062
• Journal Information: IEEE Transactions on Nuclear Science, Vol. 60, Issue 3; ISSN 0018--9499
• Country of Publication: United States
• Language: English