Simulation and information-theoretic analysis of hybrid CT+XRD imaging system

Sarah D. Ruiz; Ava X. Hurlock; Shu Yang; Mauricio Martinez; Ratchaneekorn Thamvichai; Joel A. Greenberg; Amit Ashok; Michael E. Gehm

doi:10.1117/12.2664066

14 June 2023 Simulation and information-theoretic analysis of hybrid CT+XRD imaging system

Sarah D. Ruiz, Ava X. Hurlock, Shu Yang, Mauricio Martinez, Ratchaneekorn Thamvichai, Joel A. Greenberg, Amit Ashok, Michael E. Gehm

Author Affiliations +

Proceedings Volume 12531, Anomaly Detection and Imaging with X-Rays (ADIX) VIII; 125310A (2023) https://doi.org/10.1117/12.2664066
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

Simulation is a valuable tool for designing and evaluating the performance of x-ray imaging systems. In previous work, a hybrid CT+XRD imaging system was developed for improved identification of threat objects in checked baggage. Through large-scale simulations of this hybrid CT+XRD system, we can investigate the impact of various parameters on system performance. These parameters include varying energy resolution, multi-energy acquisitions, and additional system views. We will report on our findings and evaluate the system performance resulting from these and other variations of the simulated system as well as discuss how these findings may inform future system design.

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Sarah D. Ruiz, Ava X. Hurlock, Shu Yang, Mauricio Martinez, Ratchaneekorn Thamvichai, Joel A. Greenberg, Amit Ashok, and Michael E. Gehm "Simulation and information-theoretic analysis of hybrid CT+XRD imaging system", Proc. SPIE 12531, Anomaly Detection and Imaging with X-Rays (ADIX) VIII, 125310A (14 June 2023); https://doi.org/10.1117/12.2664066

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