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

Yijun Ding; Amit Ashok

doi:10.1117/12.2557924

1 June 2020 X-ray measurement model and information-theoretic metric incorporating material variability with spatial and energy correlations

Yijun Ding, Amit Ashok

Author Affiliations +

Proceedings Volume 11404, Anomaly Detection and Imaging with X-Rays (ADIX) V; 114040G (2020) https://doi.org/10.1117/12.2557924
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

Extending our prior work, we propose an X-ray measurement model that incorporates spatial- correlated material variability. The model enables more accurate task-specific assessment of the performance of X-ray imaging and sensing systems. More specifically, the model can be used to calculate bounds on the probability of error (P_e) for threat-detection tasks. We analyze the performance of a prototypical X-ray measurement system to compare the new spatial- and energy-correlated model with the previous model, which ignores the spatial correlation.

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Yijun Ding and Amit Ashok "X-ray measurement model and information-theoretic metric incorporating material variability with spatial and energy correlations", Proc. SPIE 11404, Anomaly Detection and Imaging with X-Rays (ADIX) V, 114040G (1 June 2020); https://doi.org/10.1117/12.2557924

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