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Proceedings Paper

Neutron imaging with coded sources: design pitfalls and the implementation of a simultaneous iterative reconstruction technique
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Paper Abstract

The limitations in neutron flux and resolution (1/D) of current neutron imaging systems can be addressed with a Coded Source Imaging system with magnification (xCSI). More precisely, the multiple sources in an xCSI system can exceed the flux of a single pinhole system for several orders of magnitude, while maintaining a higher 1 / D with the small sources. Moreover, designing for an xCSI system reduces noise from neutron scattering, because the object is placed away from the detector to achieve magnification. However, xCSI systems are adversely affected by correlated noise such as non-uniform illumination of the neutron source, incorrect sampling of the coded radiograph, misalignment of the coded masks, mask transparency, and the imperfection of the system Point Spread Function (PSF). We argue that a model-based reconstruction algorithm can overcome these problems and describe the implementation of a Simultaneous Iterative Reconstruction Technique algorithm for coded sources. Design pitfalls that preclude a satisfactory reconstruction are documented.

Paper Details

Date Published: 14 February 2013
PDF: 12 pages
Proc. SPIE 8657, Computational Imaging XI, 865708 (14 February 2013); doi: 10.1117/12.2008687
Show Author Affiliations
Hector J. Santos-Villalobos, Oak Ridge National Lab. (United States)
Philip R. Bingham, Oak Ridge National Lab. (United States)
Jens Gregor, Univ. of Tennessee (United States)


Published in SPIE Proceedings Vol. 8657:
Computational Imaging XI
Charles A. Bouman; Ilya Pollak; Patrick J. Wolfe, Editor(s)

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