Modeling real world system geometry and detector response within a high-throughput x-ray simulation framework

David Coccarelli; Ava Hurlock; Camen Royse; Joshua H. Carpenter; Joel A. Greenberg; Eric Johnson; Carl Bosch; Michael E. Gehm

doi:10.1117/12.2518870

14 May 2019 Modeling real world system geometry and detector response within a high-throughput x-ray simulation framework

David Coccarelli, Ava Hurlock, Camen Royse, Joshua H. Carpenter, Joel A. Greenberg, Eric Johnson, Carl Bosch, Michael E. Gehm

Author Affiliations +

Proceedings Volume 10999, Anomaly Detection and Imaging with X-Rays (ADIX) IV; 1099906 (2019) https://doi.org/10.1117/12.2518870
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States

Abstract

Simulations of x-ray scanners have the potential to aid in the design and understanding of system performance. We have previously shown the usefulness of a high-throughput simulation framework in pursuit of information theoretic analysis of x-ray systems employed for aviation security. While conclusions drawn from these studies were able to inform design decisions, they were limited to generic system geometries and na¨ıve interpretations of detector responses. In collaboration with the SureScan Corporation, we have since expanded our analysis efforts to include their real world system geometry and detector response. To this extent, we present our work to simulate the SureScan x1000 scanner, a fixed-gantry spectral CT system for checked baggage. Our simulations are validated in terms of system geometry and spectral response. We show how high fidelity simulations are used with SureScan reconstruction software to analyze virtual baggage. The close match between simulated and real world measurements means that simulation can be a powerful tool in system development. Moreover, the close match allows simulation to be a straightforward avenue for producing large labeled datasets needed in machine learning approaches to automatic threat recognition (ATR).

Conference Presentation

Citation Download Citation

David Coccarelli, Ava Hurlock, Camen Royse, Joshua H. Carpenter, Joel A. Greenberg, Eric Johnson, Carl Bosch, and Michael E. Gehm "Modeling real world system geometry and detector response within a high-throughput x-ray simulation framework", Proc. SPIE 10999, Anomaly Detection and Imaging with X-Rays (ADIX) IV, 1099906 (14 May 2019); https://doi.org/10.1117/12.2518870

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available