Literature DB >> 16752568

An analytic model for the response of a CZT detector in diagnostic energy dispersive x-ray spectroscopy.

Robert J LeClair1, Yinkun Wang, Peiying Zhao, Michel Boileau, Lilie Wang, Fabrice Fleurot.   

Abstract

A CdZnTe detector (CZTD) can be very useful for measuring diagnostic x-ray spectra. The semiconductor detector does, however, exhibit poor hole transport properties and fluorescence generation upon atomic de-excitations. This article describes an analytic model to characterize these two phenomena that occur when a CZTD is exposed to diagnostic x rays. The analytical detector response functions compare well with those obtained via Monte Carlo calculations. The response functions were applied to 50, 80, and 110 kV x-ray spectra. Two 50 kV spectra were measured; one with no filtration and the other with 1.35 mm Al filtration. The unfiltered spectrum was numerically filtered with 1.35 mm of Al in order to see whether the recovered spectrum resembled the filtered spectrum actually measured. A deviation curve was obtained by subtracting one curve from the other on an energy bin by bin basis. The deviation pattern fluctuated around the zero line when corrections were applied to both spectra. Significant deviations from zero towards the lower energies were observed when the uncorrected spectra were used. Beside visual observations, the exposure obtained using the numerically attenuated unfiltered beam was compared to the exposure calculated with the actual filtered beam. The percent differences were 0.8% when corrections were applied and 25% for no corrections. The model can be used to correct diagnostic x-ray spectra measured with a CdZnTe detector.

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Year:  2006        PMID: 16752568     DOI: 10.1118/1.2190331

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  4 in total

1.  Model predictions for the wide-angle x-ray scatter signals of healthy and malignant breast duct biopsies.

Authors:  Robert J LeClair; Andrew Ferreira; Nancy McDonald; Curtis Laamanen; Robert Y Tang
Journal:  J Med Imaging (Bellingham)       Date:  2015-10-23

2.  Design of a digital phantom population for myocardial perfusion SPECT imaging research.

Authors:  Michael Ghaly; Yong Du; George S K Fung; Benjamin M W Tsui; Jonathan M Links; Eric Frey
Journal:  Phys Med Biol       Date:  2014-05-19       Impact factor: 3.609

3.  Segmentation and quantification of materials with energy discriminating computed tomography: a phantom study.

Authors:  Huy Q Le; Sabee Molloi
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

4.  Least squares parameter estimation methods for material decomposition with energy discriminating detectors.

Authors:  Q Le Huy; Sabee Molloi
Journal:  Med Phys       Date:  2011-01       Impact factor: 4.071

  4 in total

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