X-ray measurement model and information-theoretic metric incorporating material variability with energy correlations

Yijun Ding; Amit Ashok

doi:10.1117/12.2518552

14 May 2019 X-ray measurement model and information-theoretic metric incorporating material variability with energy correlations

Yijun Ding, Amit Ashok

Author Affiliations +

Proceedings Volume 10999, Anomaly Detection and Imaging with X-Rays (ADIX) IV; 109990J (2019) https://doi.org/10.1117/12.2518552
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

Extending our prior work, we propose a multi-energy X-ray measurement model incorporating material variability with energy correlations to enable the analysis and exploration of the performance of X-ray imaging and sensing systems. Based on this measurement model we provide analytical expressions for the Cauchy-Schwarz mutual information (I_CS) measure that quantifies the performance limits of an X-ray measurement system for the threat-detection task. We analyze the performance of a prototypical X-ray measurement system to demonstrate the utility of our proposed material variability measurement model.

Citation Download Citation

Yijun Ding and Amit Ashok "X-ray measurement model and information-theoretic metric incorporating material variability with energy correlations", Proc. SPIE 10999, Anomaly Detection and Imaging with X-Rays (ADIX) IV, 109990J (14 May 2019); https://doi.org/10.1117/12.2518552

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