9 March 2018 Spectroscopy with a CdTe-based photon-counting imaging detector (PCD) having charge sharing correction capability
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Abstract
The spectroscopic capabilities of a newly upgraded version of a prototype imaging photon counting detector (PCD) was investigated. The XCounter Actaeon has four acquisition modes in which signal processing is varied including one mode having a charge sharing correction so that neighboring pixels that share a detected event will not be erroneously counted twice, hence it is designated the Anti-Coincidence Circuit On or ACC On mode. Since this CdTe-based direct conversion PCD has 100 μm pixels, such charge sharing may frequently occur for typical medical x-ray energies. Each pixel of this PCD has two scalers and two energy discriminators that enable counting without instrumentation noise of events above each threshold level; hence, a spectrum can be obtained by sequentially moving the thresholds of both discriminators. It became evident from the spectra for the various acquisition modes that only those obtained with the charge sharing correction enabled, compared favorably with theoretically predicted spectra. After verifying the energy calibration using the mono-energetic emissions from an Am-241 source, spectra at various kVps from a standard medical x-ray generator were obtained. The spectra generated by ACC On mode for 70 kVp and 110 kVp were the closest match to the theoretical spectra generated by SpekCal. For dual energy applications, ACC On mode with charge sharing correction circuitry would be the best choice among various acquisition modes. Also investigated was the dual energy imaging capability of the Actaeon PCD with ACC On mode to separate Aluminum and Iodine while imaging an artery stenosis phantom.
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A. Shankar, A. Shankar, J. Krebs, J. Krebs, D. R. Bednarek, D. R. Bednarek, S. Rudin, S. Rudin, } "Spectroscopy with a CdTe-based photon-counting imaging detector (PCD) having charge sharing correction capability", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 1057352 (9 March 2018); doi: 10.1117/12.2294632; https://doi.org/10.1117/12.2294632
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