Monte Carlo simulations of a novel coherent scatter materials discrimination system

Laila Hassan; Sean Starr-Baier; C. A. MacDonald; Jonathan C. Petruccelli

doi:10.1117/12.2262895

1 May 2017 Monte Carlo simulations of a novel coherent scatter materials discrimination system

Laila Hassan, Sean Starr-Baier, C. A. MacDonald, Jonathan C. Petruccelli

Proceedings Volume 10187, Anomaly Detection and Imaging with X-Rays (ADIX) II; 1018706 (2017) https://doi.org/10.1117/12.2262895
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

X-ray coherent scatter imaging has the potential to improve the detection of liquid and powder materials of concern in security screening. While x-ray attenuation is dependent on atomic number, coherent scatter is highly dependent on the characteristic angle for the target material, and thus offers an additional discrimination. Conventional coherent scatter analysis requires pixel-by-pixel scanning, and so could be prohibitively slow for security applications. A novel slot scan system has been developed to provide rapid imaging of the coherent scatter at selected angles of interest, simultaneously with the conventional absorption images. Prior experimental results showed promising capability. In this work, Monte Carlo simulations were performed to assess discrimination capability and provide system optimization. Simulation analysis performed using the measured ring profiles for an array of powders and liquids, including water, ethanol and peroxide. For example, simulations yielded a signal-to-background ratio of 1.63±0.08 for a sample consisting of two 10 mm diameter vials, one containing ethanol (signal) and one water (background). This high SBR value is due to the high angular separation of the coherent scatter between the two liquids. The results indicate that the addition of coherent scatter information to single or dual energy attenuation images improves the discrimination of materials of interest.

Conference Presentation

Citation Download Citation

Laila Hassan, Sean Starr-Baier, C. A. MacDonald, and Jonathan C. Petruccelli "Monte Carlo simulations of a novel coherent scatter materials discrimination system", Proc. SPIE 10187, Anomaly Detection and Imaging with X-Rays (ADIX) II, 1018706 (1 May 2017); https://doi.org/10.1117/12.2262895

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