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Towards large-area photon-counting detectors for spectral x-ray imaging
Author(s): Thomas Thuering; Spyridon Gkoumas; Pietro Zambon; Peter Trueb; Michael Rissi; Flavio Di Prima; Tilman Donath; Stefan Sawall; Carlo Amato; Marc Kachelrieß; Christian Broennimann
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Paper Abstract

Photon-counting detector technology using directly converting high-Z sensor materials has recently gained popularity in medical imaging due to its capability to reduce patient dose, increase spatial resolution and provide single shot multienergy information. However, in medical imaging applications, the novel technology is not yet widely used due to technical challenges in manufacturing gap-less detectors with large areas. Here, a nearly gap-less, large-area, multi-energy photoncounting detector prototype is presented which was built with existing ASIC and sensor technology. It features an active area of 8x8 cm2, a 1 mm thick cadmium telluride (CdTe) sensor, four independent energy thresholds and a pixel size of 150 μm. Single and multi-threshold imaging performance of the detector is evaluated by assessing various metrics relevant for conventional (polychromatic) and spectral imaging applications. A high detective quantum efficiency (DQE(0)=0.98), a low dark noise threshold (6.5 keV) and a high count rate capability (up to 3x108 counts/s/mm2) indicate that the detector is optimally suited for conventional medical X-ray imaging, especially for low dose applications. Spectral performance was assessed by acquiring spectra from fluorescence samples, and the results show a high accuracy of energy peak positions (< 1 keV), precise energy resolution (within a few keV) and decent peak-to-background ratios. Spectral absorption measurements of water and iodinated contrast agent, as well as spectral X-ray radiographs of a human hand phantom, decomposed into bone and soft tissue basis images, demonstrate the multi-energy performance of the detector.

Paper Details

Date Published: 7 March 2019
PDF: 6 pages
Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 1094817 (7 March 2019); doi: 10.1117/12.2507190
Show Author Affiliations
Thomas Thuering, DECTRIS Ltd. (Switzerland)
Spyridon Gkoumas, DECTRIS Ltd. (Switzerland)
Pietro Zambon, DECTRIS Ltd. (Switzerland)
Peter Trueb, DECTRIS Ltd. (Switzerland)
Michael Rissi, DECTRIS Ltd. (Switzerland)
Flavio Di Prima, DECTRIS Ltd. (Switzerland)
Tilman Donath, DECTRIS Ltd. (Switzerland)
Stefan Sawall, German Cancer Research Ctr. (DKFZ) (Germany)
Carlo Amato, German Cancer Research Ctr. (DKFZ) (Germany)
Marc Kachelrieß, German Cancer Research Ctr. (DKFZ) (Germany)
Christian Broennimann, DECTRIS Ltd. (Switzerland)


Published in SPIE Proceedings Vol. 10948:
Medical Imaging 2019: Physics of Medical Imaging
Taly Gilat Schmidt; Guang-Hong Chen; Hilde Bosmans, Editor(s)

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