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Proceedings Paper

Multi-energy penalized maximum-likelihood reconstruction for x-ray security imaging
Author(s): David G. Politte; Jingwei Lu; Joseph A. O'Sullivan; Eric Johnson; Carl Bosch
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Paper Abstract

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.

Paper Details

Date Published: 1 May 2017
PDF: 11 pages
Proc. SPIE 10187, Anomaly Detection and Imaging with X-Rays (ADIX) II, 101870D (1 May 2017); doi: 10.1117/12.2263343
Show Author Affiliations
David G. Politte, Washington Univ. School of Medicine (United States)
Jingwei Lu, Washington Univ. (United States)
Joseph A. O'Sullivan, Washington Univ. (United States)
Eric Johnson, SureScan Corp. (United States)
Carl Bosch, SureScan Corp. (United States)

Published in SPIE Proceedings Vol. 10187:
Anomaly Detection and Imaging with X-Rays (ADIX) II
Amit Ashok; Edward D. Franco; Michael E. Gehm; Mark A. Neifeld, Editor(s)

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