Design and analysis of a hybrid X-ray transmission and diffraction system

  • Joel A. Greenberg
  • , Josh Carpenter
  • , David Coccarelli
  • , Yijun Ding
  • , Shu Yang
  • , Emily Fang
  • , Kris Brumbaugh
  • , Christopher Gregory
  • , Amit Ashok
  • , Anuj J. Kapadia
  • , Michael E. Gehm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Aviation security, mail inspection, medical diagnostics and many other industries all face the same challenge: to accurately identify the presence of a target material concealed within a cluttered surrounding environment. X-ray systems that combine transmission and diffraction measurements promise excellent detection performance with low false alarm rates; however, conventional approaches to combining these measurements typically under-utilize the available information and result in higher overall system resource costs. Here, we consider a fully integrated approach to hybrid X-ray transmission and diffraction systems and discuss simulation- and experimental-based investigations of the design and performance (both imaging and detection) of such systems. Based on this analysis, we describe a hybrid system capable of scanning boxes and/or luggage and report its ability to distinguish materials of interest to aviation security and pharmaceutical inspection.

Original languageEnglish
Title of host publicationAnomaly Detection and Imaging with X-Rays (ADIX) VI
EditorsAmit Ashok, Joel A. Greenberg, Michael E. Gehm
PublisherSPIE
ISBN (Electronic)9781510643130
DOIs
StatePublished - 2021
Externally publishedYes
EventAnomaly Detection and Imaging with X-Rays (ADIX) VI 2021 - Virtual, Online, United States
Duration: Apr 12 2021Apr 16 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11738
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceAnomaly Detection and Imaging with X-Rays (ADIX) VI 2021
Country/TerritoryUnited States
CityVirtual, Online
Period04/12/2104/16/21

Funding

This research was funded by the contract 70RSAT18CB0000044.

Keywords

  • Computed tomography
  • Simulation
  • Synthetic data
  • X-ray diffraction
  • X-ray imaging

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