Determination of liquid's molecular interference function based on X-ray diffraction and dual-energy CT in security screening.

A method for deriving the molecular interference function (MIF) of an unknown liquid for security screening is presented. Based on the effective atomic number reconstructed from dual-energy computed tomography (CT), equivalent molecular formula of the liquid is estimated. After a series of optimizations, the MIF and a new effective atomic number are finally obtained from the X-ray diffraction (XRD) profile. The proposed method generates more accurate results with less sensitivity to the noise and data deficiency of the XRD profile.

[1]  K. Rogers,et al.  High energy transmission annular beam X-ray diffraction. , 2015, Optics express.

[2]  Guowei Zhang,et al.  A practical reconstruction method for dual energy computed tomography , 2008 .

[3]  J. H. Hubbell,et al.  Atomic form factors, incoherent scattering functions, and photon scattering cross sections , 1975 .

[4]  A Taibi,et al.  Updating of form factor tabulations for coherent scattering of photons in tissues. , 2002, Physics in medicine and biology.

[5]  Robert D. Speller,et al.  Low angle X-ray scatter for explosives detection: A geometry optimization , 1997 .

[6]  Tianyi Yangdai,et al.  Liquid contrabands classification based on energy dispersive X-ray diffraction and hybrid discriminant analysis , 2016 .

[8]  H. Fleckenstein,et al.  X-ray diffraction imaging with the Multiple Inverse Fan Beam topology: principles, performance and potential for security screening. , 2012, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[9]  Ferréol Soulez,et al.  Energy dispersive X-ray diffraction to identify explosive substances: Spectra analysis procedure optimization , 2010 .

[10]  Wenxiang Cong,et al.  Spherical grating based x-ray Talbot interferometry. , 2015, Medical physics.

[11]  Paul Seller,et al.  Identification of simulants for explosives using pixellated X-ray diffraction , 2013 .

[12]  Maneesha Singh,et al.  Explosives detection systems (EDS) for aviation security , 2003, Signal Process..

[14]  Matthew P. J. Ashby,et al.  A comparison of methods for temporal analysis of aoristic crime , 2013 .

[15]  V. Kaftandjian,et al.  Modeling-based optimization study for an EDXRD system in a portable configuration , 2011 .

[16]  Geoffrey Harding Effective density and atomic number determined from diffraction profiles , 2006, SPIE Optics + Photonics.

[17]  Robert D. Speller,et al.  Explosive detection using pixellated X-ray diffraction (PixD) , 2013 .

[18]  A. Savitzky,et al.  Smoothing and Differentiation of Data by Simplified Least Squares Procedures. , 1964 .

[19]  L. Verger,et al.  A complete and multi purpose software tool for modeling energy dispersive X-ray diffraction , 2011, 2011 IEEE Nuclear Science Symposium Conference Record.

[20]  G. Harding,et al.  X-ray diffraction imaging--a multi-generational perspective. , 2009, Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine.

[21]  Loick Verger,et al.  New software to model energy dispersive X-ray diffraction in polycrystalline materials , 2012 .

[22]  Zhifeng Huang,et al.  Large phase-stepping approach for high-resolution hard X-ray grating-based multiple-information imaging. , 2010, Optics express.

[23]  Geoffrey Harding,et al.  Liquids identification with x-ray diffraction , 2007, SPIE Optical Engineering + Applications.

[24]  H. Fleckenstein,et al.  Liquid detection trial with x-ray diffraction , 2010, Optical Engineering + Applications.