2007
DOI: 10.1088/0031-9155/52/11/006
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Quantitative analysis of the effect of energy separation in k-edge digital subtraction imaging

Abstract: The aim of the work is to quantitatively compare the effect of the energy separation in the k-edge digital subtraction imaging technique. Images of a custom-made, iodine filled (k-edge = 33.17 keV) test object have been acquired with monochromatic x-ray beams (energy spread <0.1 keV) at the ID17 biomedical beamline of the ESRF. Image acquisition has been performed using two energy separations, namely 0.65 keV (32.85 keV and 33.5 keV, respectively) and 4.4 keV (31.2 keV and 35.6 keV, respectively), using beams … Show more

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Cited by 14 publications
(10 citation statements)
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“…Higher values of fluence guarantee a better visibility of the smaller details with less contrast medium, as estimated in our previous work [54]. Our results are also compatible with past studies aimed at investigating the effects of energy separation [61] and energy spread [53] in KES imaging. In these works, monochromatic and Gaussian beams were used, respectively.…”
Section: Discussionsupporting
confidence: 92%
“…Higher values of fluence guarantee a better visibility of the smaller details with less contrast medium, as estimated in our previous work [54]. Our results are also compatible with past studies aimed at investigating the effects of energy separation [61] and energy spread [53] in KES imaging. In these works, monochromatic and Gaussian beams were used, respectively.…”
Section: Discussionsupporting
confidence: 92%
“…A study by Sarnelli et al [53] compared the signal-to-noise ratio (SNR) in images obtained at a synchrotron to the SNR of images obtained at a monochromatized conventional X-ray source. A positive impact on the image SNR was found for a smaller energy difference, which is achievable with a more narrow monochromatic beam.…”
Section: Change In Cnr Due To Energy Spread In Ics Spectrummentioning
confidence: 99%
“…A more generic algorithm is the dual energy algorithm initially proposed by Lehmann et al [6] and subsequently used in several K-edge imaging applications [7], [8]. It consists of decomposing an image into two components; for the present case, the components chosen were iodine, representing the contrast agent, and water, representing the background materials.…”
Section: Subtraction Algorithmsmentioning
confidence: 99%