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

Hector J. Santos-Villalobos, Philip R. Bingham, Jens Gregor

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Computational Imaging XI
DOIs
StatePublished - 2013
EventComputational Imaging XI - Burlingame, CA, United States
Duration: Feb 5 2013Feb 7 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8657
ISSN (Print)0277-786X

Conference

ConferenceComputational Imaging XI
Country/TerritoryUnited States
CityBurlingame, CA
Period02/5/1302/7/13

Keywords

  • SIRT
  • coded apertures
  • coded source imaging
  • inverse problems
  • iterative reconstructions
  • neutron imaging

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