Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection

David Coccarelli; Qian Gong; Razvan-Ionut Stoian; Joel A. Greenberg; Michael E. Gehm; Yuzhang Lin; Liang-Chih Huang; Amit Ashok

doi:10.1117/12.2223175

12 May 2016 Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection

David Coccarelli, Qian Gong, Razvan-Ionut Stoian, Joel A. Greenberg, Michael E. Gehm, Yuzhang Lin, Liang-Chih Huang, Amit Ashok

Author Affiliations +

Proceedings Volume 9847, Anomaly Detection and Imaging with X-Rays (ADIX); 98470B (2016) https://doi.org/10.1117/12.2223175
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

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.

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David Coccarelli, Qian Gong, Razvan-Ionut Stoian, Joel A. Greenberg, Michael E. Gehm, Yuzhang Lin, Liang-Chih Huang, and Amit Ashok "Information-theoretic analysis of x-ray scatter and phase architectures for anomaly detection", Proc. SPIE 9847, Anomaly Detection and Imaging with X-Rays (ADIX), 98470B (12 May 2016); https://doi.org/10.1117/12.2223175

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