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Window-Based Energy Selecting X-ray Imaging and Charge Sharing in Cadmium Zinc Telluride Linear Array Detectors for
Antonino Buttacavoli1, Fabio Principato1, Gaetano Gerardi1
1Department of Physics and Chemistry (DiFC)-Emilio Segrè, University of Palermo, 90128 Palermo, Italy.
New cadmium zinc telluride detectors offer improved spectral X-ray imaging for contaminant detection in food. This technology enhances image quality and contrast-to-noise ratio for better contaminant identification.
Area of Science:
- Medical Physics
- Materials Science
- Imaging Technology
Background:
- Energy-resolved photon counting detectors are crucial for advanced imaging applications.
- Cadmium zinc telluride (CdZnTe) detectors offer excellent spectroscopic capabilities.
- The AVATAR X project aims to develop X-ray scanners for food industry contaminant detection.
Purpose of the Study:
- To present the spectroscopic and imaging performance of novel CdZnTe linear arrays.
- To evaluate the impact of charge sharing and energy-resolved techniques on image quality.
- To demonstrate the efficacy of a new spectral imaging approach for contaminant detection.
Main Methods:
- Utilized sub-millimetre boron oxide encapsulated vertical Bridgman CdZnTe linear arrays.
- Characterized detector spatial resolution (250 µm) and energy resolution (<3 keV).
- Investigated contrast-to-noise ratio (CNR) enhancements using spectral X-ray imaging and a window-based energy selecting technique.
Main Results:
- Achieved high spatial and energy resolution, enabling spectral X-ray imaging.
- Demonstrated significant image quality improvements.
- Showcased enhanced CNR for detecting both low- and high-density contaminants.
Conclusions:
- The developed CdZnTe detectors show promising performance for spectral X-ray imaging.
- The window-based energy selecting approach improves contaminant detection capabilities.
- This technology has potential applications in food industry contaminant screening.
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