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Proceedings Paper

Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection
Author(s): David Coccarelli; Qian Gong; Razvan-Ionut Stoian; Joel A. Greenberg; Michael E. Gehm; Yuzhang Lin; Liang-Chih Huang; Amit Ashok
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Paper Abstract

Conventional performance analysis of detection systems confounds the effects of the system architecture (sources, detectors, system geometry, etc.) with the effects of the detection algorithm. Previously, we introduced an information-theoretic approach to this problem by formulating a performance metric, based on Cauchy-Schwarz mutual information, that is analogous to the channel capacity concept from communications engineering. In this work, we discuss the application of this metric to study novel screening systems based on x-ray scatter or phase. Our results show how effective use of this metric can impact design decisions for x-ray scatter and phase systems.

Paper Details

Date Published: 12 May 2016
PDF: 6 pages
Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 98470B (12 May 2016); doi: 10.1117/12.2223175
Show Author Affiliations
David Coccarelli, Duke Univ. (United States)
Qian Gong, Duke Univ. (United States)
Razvan-Ionut Stoian, Duke Univ. (United States)
Joel A. Greenberg, Duke Univ. (United States)
Michael E. Gehm, Duke Univ. (United States)
Yuzhang Lin, The Univ. of Arizona (United States)
Liang-Chih Huang, College of Optical Sciences, The Univ. of Arizona (United States)
Amit Ashok, College of Optical Sciences, The Univ. of Arizona (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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