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 bounds on the probability of error, Pe, to quantify the performance limits of an X-ray measurement system for binary classification task. We analyze the performance of a prototypical X-ray measurement system to demonstrate the utility of our proposed material variability measurement model.
@article{arxiv.2002.11046,
title = {X-ray measurement model incorporating energy-correlated material variability and its application in information-theoretic system analysis},
author = {Yijun Ding and Amit Ashok},
journal= {arXiv preprint arXiv:2002.11046},
year = {2020}
}