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Proceedings Paper

Information-theoretic analysis of x-ray photoabsorption based threat detection system for check-point
Author(s): Yuzhang Lin; Genevieve G. Allouche; James Huang; Amit Ashok; Qian Gong; David Coccarelli; Razvan-Ionut Stoian; Michael E. Gehm
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Paper Abstract

In this work we present an information-theoretic framework for a systematic study of checkpoint x-ray systems using photoabsorption measurements. Conventional system performance analysis of threat detection systems confounds the effect of the system architecture choice with the performance of a threat detection algorithm. However, our system analysis approach enables a direct comparison of the fundamental performance limits of disparate hardware architectures, independent of the choice of a specific detection algorithm. We compare photoabsorptive measurements from different system architectures to understand the affect of system geometry (angular views) and spectral resolution on the fundamental limits of the system performance.

Paper Details

Date Published: 12 May 2016
PDF: 6 pages
Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 98470F (12 May 2016); doi: 10.1117/12.2223803
Show Author Affiliations
Yuzhang Lin, The Univ. of Arizona (United States)
Genevieve G. Allouche, College of Optical Sciences, The Univ. of Arizona (United States)
James Huang, The Univ. of Arizona (United States)
Amit Ashok, College of Optical Sciences, The Univ. of Arizona (United States)
Qian Gong, Duke Univ. (United States)
David Coccarelli, Duke Univ. (United States)
Razvan-Ionut Stoian, Duke Univ. (United States)
Michael E. Gehm, Duke Univ. (United States)

Published in SPIE Proceedings Vol. 9847:
Anomaly Detection and Imaging with X-Rays (ADIX)
Amit Ashok; Mark A. Neifeld; Michael E. Gehm, Editor(s)

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