2012
DOI: 10.1016/j.nima.2011.09.002
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An optimised method for material identification using a photon counting detector

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Cited by 25 publications
(26 citation statements)
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“…The functions 1∕ 3 Figure 1: Illustration of the dual-energy CT, SRZE and SIMCAD methods. Left: in dual-energy X-ray CT, the sample attenuation is measured at low-and high energies with two different spectra that are overlapping and thus reduces the estimation performance [24,25]. Center: in classical spectral X-ray CT, the sample attenuation is measured at multiple energy bins using PCDs [23,28].…”
Section: Photoelectric-compton Decompositionmentioning
confidence: 99%
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“…The functions 1∕ 3 Figure 1: Illustration of the dual-energy CT, SRZE and SIMCAD methods. Left: in dual-energy X-ray CT, the sample attenuation is measured at low-and high energies with two different spectra that are overlapping and thus reduces the estimation performance [24,25]. Center: in classical spectral X-ray CT, the sample attenuation is measured at multiple energy bins using PCDs [23,28].…”
Section: Photoelectric-compton Decompositionmentioning
confidence: 99%
“…In material identification by radiography, Rinkel et al [24] presented through experimental data that the false detection rate when using 90 energy bins with a PCD was reduced by a factor of up to 2 and more than 3 (for thin objects) compared to an optimised dual-energy bins approach applied both on the same PCD data and to a dual-layer sandwich detector, re-spectively. Beldjoudi et al [20,25] showed through simulations in Radiography that PCDs with data condensed into two energy bins enhanced recognition of single materials by over 50% relative to dual-layer sandwich detectors. Increasing the number of energy bins resulted in a further rise of 80% in material identification with 90 energy bins compared to dual-layer sandwich detectors.…”
Section: Introductionmentioning
confidence: 99%
“…21 Radiographic noise was assumed to be dominated by counting statistics and to follow a Poisson distribution. 26 Noise was added independently to the simulated data in each energy bin of each pixel using the Matlab function poissrnd.…”
Section: Methodsmentioning
confidence: 99%
“…This selection of bin thresholds is based on previous analyses. 26,27 RESULTS AND DISCUSSION Figure 2 shows simulated transmission data, d, recorded by the spectral detector for the object in Figure 1, summed over all energy bins. The slight profile of the plutonium wedge can be seen in the middle of the image.…”
Section: Methodsmentioning
confidence: 99%
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