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Tomography of atomic number and density of materials using dual-energy imaging and the Alvarez and Macovski attenuation model

Paziresh, Mahsa; Kingston, Andrew; Latham, Shane; Fullagar, Wilfred; Myers, Glenn

Description

Dual-energy computed tomography and the Alvarez and Macovski [Phys. Med. Biol. 21, 733 (1976)] transmitted intensity (AMTI) model were used in this study to estimate the maps of density (ρ) and atomic number (Z) of mineralogical samples. In this method, the attenuation coefficients are represented [Alvarez and Macovski, Phys. Med. Biol. 21, 733 (1976)] in the form of the two most important interactions of X-rays with atoms that is, photoelectric absorption (PE) and Compton scattering (CS). This...[Show more]

dc.contributor.authorPaziresh, Mahsa
dc.contributor.authorKingston, Andrew
dc.contributor.authorLatham, Shane
dc.contributor.authorFullagar, Wilfred
dc.contributor.authorMyers, Glenn
dc.date.accessioned2018-11-29T22:52:50Z
dc.date.available2018-11-29T22:52:50Z
dc.identifier.issn0021-8979
dc.identifier.urihttp://hdl.handle.net/1885/152291
dc.description.abstractDual-energy computed tomography and the Alvarez and Macovski [Phys. Med. Biol. 21, 733 (1976)] transmitted intensity (AMTI) model were used in this study to estimate the maps of density (ρ) and atomic number (Z) of mineralogical samples. In this method, the attenuation coefficients are represented [Alvarez and Macovski, Phys. Med. Biol. 21, 733 (1976)] in the form of the two most important interactions of X-rays with atoms that is, photoelectric absorption (PE) and Compton scattering (CS). This enables material discrimination as PE and CS are, respectively, dependent on the atomic number (Z) and density (ρ) of materials [Alvarez and Macovski, Phys. Med. Biol. 21, 733 (1976)]. Dual-energy imaging is able to identify sample materials even if the materials have similar attenuation coefficients at single-energy spectrum. We use the full model rather than applying one of several applied simplified forms [Alvarez and Macovski, Phys. Med. Biol. 21, 733 (1976); Siddiqui et al., SPE Annual Technical Conference and Exhibition (Society of Petroleum Engineers, 2004); Derzhi, U.S. patent application 13/527,660 (2012); Heismann et al., J. Appl. Phys. 94, 2073–2079 (2003); Park and Kim, J. Korean Phys. Soc. 59, 2709 (2011); Abudurexiti et al., Radiol. Phys. Technol. 3, 127–135 (2010); and Kaewkhao et al., J. Quant. Spectrosc. Radiat. Transfer 109, 1260–1265 (2008)]. This paper describes the tomographic reconstruction of ρ and Z maps of mineralogical samples using the AMTI model. The full model requires precise knowledge of the X-ray energy spectra and calibration of PE and CS constants and exponents of atomic number and energy that were estimated based on fits to simulations and calibration measurements. The estimated ρ and Z images of the samples used in this paper yield average relative errors of 2.62% and 1.19% and maximum relative errors of 2.64% and 7.85%, respectively. Furthermore, we demonstrate that the method accounts for the beam hardening effect in density (ρ) and atomic number (Z) reconstructions to a significant extent.
dc.format.mimetypeapplication/pdf
dc.publisherAmerican Institute of Physics (AIP)
dc.sourceJournal of Applied Physics
dc.titleTomography of atomic number and density of materials using dual-energy imaging and the Alvarez and Macovski attenuation model
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume119
dc.date.issued2016
local.identifier.absfor020100 - ASTRONOMICAL AND SPACE SCIENCES
local.identifier.absfor020400 - CONDENSED MATTER PHYSICS
local.identifier.ariespublicationU3488905xPUB19726
local.type.statusPublished Version
local.contributor.affiliationPaziresh, Mahsa, College of Science, ANU
local.contributor.affiliationKingston, Andrew, College of Science, ANU
local.contributor.affiliationLatham, Shane, College of Science, ANU
local.contributor.affiliationFullagar, Wilfred, College of Science, ANU
local.contributor.affiliationMyers, Glenn, College of Science, ANU
local.bibliographicCitation.issue21
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage11
local.identifier.doi10.1063/1.4950807
local.identifier.absseo970101 - Expanding Knowledge in the Mathematical Sciences
dc.date.updated2018-11-29T07:48:53Z
local.identifier.scopusID2-s2.0-84973320116
local.identifier.thomsonID000378923100032
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

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