Presentation
14 May 2019 Information-theoretic analysis of fixed Gantry x-ray computed tomography transmission system for threat detection (Conference Presentation)
Author Affiliations +
Abstract
Detecting material anomalies in baggage requires a high-throughput X-ray measurement system that can reliably inform the user/classifier of pertinent material characteristics. We have developed a comprehensive high-fidelity simulation framework capable of modeling a multi-energy X-ray fixed gantry computed tomography transmission system. Our end-to-end simulation framework includes experimentally validated models of sources and detectors, as well as virtual bags to emulate the X-ray measurements generated by the fixed gantry X-ray CT system. This simulation capability enables us to conduct exploratory system trade-off studies around the current fixed gantry system, in terms of the source detector geometry, detector energy resolution and other relevant system parameters to assess their impact on the threat detection performance. Using scalable information-theoretic metrics, evaluated on simulated system data, we are able to provide quantitative performance bounds on the performance of the candidate system designs. In this work, we will report results of our initial system design trade-off studies focused on detector energy resolution and energy partitioning and how they impact the threat detection performance.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jay Voris, Yijun Ding, Ratchaneekorn Thamvichai, Joel A. Greenberg, David Coccarelli, Michael E. Gehm, Eric Johnson, Carl Bosch, and Amit Ashok "Information-theoretic analysis of fixed Gantry x-ray computed tomography transmission system for threat detection (Conference Presentation)", Proc. SPIE 10999, Anomaly Detection and Imaging with X-Rays (ADIX) IV, 109990I (14 May 2019); https://doi.org/10.1117/12.2519812
Advertisement
Advertisement
KEYWORDS
Computing systems

X-ray computed tomography

Back to Top