Multi-energy penalized maximum-likelihood reconstruction for x-ray security imaging

David G. Politte, Jingwei Lu, Joseph A. O'Sullivan, Eric Johnson, Carl Bosch

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

2 Scopus citations


X-ray imaging for security screening is a challenging application that requires simultaneous satisfaction of seemingly incompatible constraints, including low cost, high throughput, and reliable detection of threats. We take a principled computational imaging approach to system design. Mathematical models of the underlying physics and a Huber-class penalty function yield a penalized maximum-likelihood problem. We extend our iterative algorithm for computing linear attenuation coefficients to use multiple energy bins in the SureScan x1000, which has an unconventional, fixed-source geometry. The goal is to maintain the spatial resolution of the single-energy reconstruction while providing information for material characterization used for detection of threats.

Original languageEnglish
Title of host publicationAnomaly Detection and Imaging with X-Rays (ADIX) II
EditorsEdward D. Franco, Mark A. Neifeld, Amit Ashok, Michael E. Gehm
ISBN (Electronic)9781510608757
StatePublished - Jan 1 2017
EventAnomaly Detection and Imaging with X-Rays (ADIX) II 2017 - Anaheim, United States
Duration: Apr 12 2017Apr 13 2017

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceAnomaly Detection and Imaging with X-Rays (ADIX) II 2017
Country/TerritoryUnited States


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