• DocumentCode
    1905225
  • Title

    Scatter enhanced 3D X-ray imaging for materials identification

  • Author

    Chan, Jer ; Evans, Paul ; Wang, Xun ; Godber, Simon ; Peatfield, Ian ; Rogers, Keith ; Rogers, Joseph ; Dicken, Anthony

  • Author_Institution
    Imaging Sci. Group, Nottingham Trent Univ., Nottingham, UK
  • fYear
    2010
  • fDate
    5-8 Oct. 2010
  • Firstpage
    142
  • Lastpage
    147
  • Abstract
    This paper presents an imaging technique, which utilizes coherently scattered or diffracted X-rays for the identification of potentially harmful or illicit construct substances. Typically, the inherently low intensity of diffraction phenomena has lead to their use being limited to slow response laboratory instrumentation such as diffractometers. Our investigation concentrates on the requirements of scanning and imaging applications, which require orders of magnitude reduction in signal integration periods. We achieve this speed by employing a novel configuration of tubular X-ray beam to produce a series of high intensity foci. Each bright spot exhibits orders of magnitude increase in the diffraction signal in comparison with conventional angular dispersive methods. This novel technique promises a high-speed solution for security screening applications.
  • Keywords
    X-ray apparatus; X-ray diffraction; X-ray imaging; X-ray scattering; diffractometers; X-ray diffraction; X-ray scattering; angular dispersive methods; diffractometers; illicit construct substances; laboratory instrumentation; magnitude reduction; materials identification; scatter enhanced 3D X-ray imaging; security screening; signal integration; tubular X-ray beam; Detectors; Diffraction; Explosives; Materials; Security; X-ray diffraction; X-ray imaging; 3D X-ray airport scanning; Poisson spot; high speed X-ray diffraction; materials ID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Security Technology (ICCST), 2010 IEEE International Carnahan Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1071-6572
  • Print_ISBN
    978-1-4244-7403-5
  • Type

    conf

  • DOI
    10.1109/CCST.2010.5678684
  • Filename
    5678684