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Multi-Material Decomposition using Low-Current X-Ray and a Photon-Counting CZT Detector.

Sangtaek Kim1, Andrew Hernandez, Fares Alhassen

  • 1Physics Research Laboratory, University of California, San Francisco, San Francisco, CA 94107 USA.

IEEE Nuclear Science Symposium Conference Record. Nuclear Science Symposium
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Summary

A new photon-counting X-ray imaging system using cadmium zinc telluride (CZT) detectors can distinguish materials like silver and indium. This radiation-spectroscopic system offers advanced material identification capabilities.

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Area of Science:

  • Medical Imaging
  • Materials Science
  • Detector Physics

Background:

  • X-ray imaging systems are crucial for material identification.
  • Existing systems may lack the resolution or spectral information for complex material discrimination.
  • Photon-counting detectors offer enhanced spectral information compared to conventional detectors.

Purpose of the Study:

  • To develop and evaluate an X-ray photon-counting imaging system for material identification.
  • To assess the system's ability to distinguish between different materials based on their X-ray absorption characteristics.
  • To demonstrate the system's potential as a radiation-spectroscopic decomposition tool.

Main Methods:

  • Developed an X-ray photon-counting imaging system utilizing cadmium zinc telluride (CZT) detectors and application-specific integrated circuit (ASIC) readouts.
  • Employed a large-area CZT detector (200 mm × 200 mm) with high X-ray stopping efficiency.
  • Applied energy windows around the absorption edges of silver and indium to differentiate materials.

Main Results:

  • The developed system successfully distinguished between silver and indium.
  • The photon-counting capability enabled energy-resolved X-ray detection.
  • The large active area and high stopping efficiency contributed to effective imaging.

Conclusions:

  • The photon-counting CZT-based X-ray imaging system is effective for material identification.
  • The system demonstrates significant potential for radiation-spectroscopic decomposition applications.
  • This technology advances the field of X-ray imaging for material analysis.