@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 = "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",
}