@inproceedings{4a54051ebb684118b32bf88009b9d14a,
title = "Multi-energy penalized maximum-likelihood reconstruction for x-ray security imaging",
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.",
author = "Politte, {David G.} and Jingwei Lu and O'Sullivan, {Joseph A.} and Eric Johnson and Carl Bosch",
note = "Publisher Copyright: {\textcopyright} 2017 SPIE.; Anomaly Detection and Imaging with X-Rays (ADIX) II 2017 ; Conference date: 12-04-2017 Through 13-04-2017",
year = "2017",
doi = "10.1117/12.2263343",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Franco, {Edward D.} and Neifeld, {Mark A.} and Amit Ashok and Gehm, {Michael E.}",
booktitle = "Anomaly Detection and Imaging with X-Rays (ADIX) II",
}