@inproceedings{68030d795ea44a32943cb760baff779e,
title = "X-ray measurement model and information-theoretic metric incorporating material variability with spatial and energy correlations",
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 (Pe) 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.",
author = "Yijun Ding and Amit Ashok",
note = "Funding Information: The authors gratefully acknowledge the support of the US Department of Homeland Security (DHS). The research for this project was conducted under contract with the DHS Science and Technology Directorate (S&T), contract HSHQDC-16-C-B0014. The opinions contained herein are those of the contractors and do not necessarily reflect those of DHS S&T. Publisher Copyright: {\textcopyright} 2020 SPIE.; Anomaly Detection and Imaging with X-Rays (ADIX) V 2020 ; Conference date: 27-04-2020 Through 08-05-2020",
year = "2020",
doi = "10.1117/12.2557924",
language = "English (US)",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Amit Ashok and Greenberg, {Joel A.} and Gehm, {Michael E.}",
booktitle = "Anomaly Detection and Imaging with X-Rays (ADIX) V",
}