Reconfigurable perovskite X-ray detector for intelligent imaging

Area of Science:

• Materials Science and Engineering
• Medical Imaging Technology
• Solid-State Physics

Background:

• Conventional X-ray detection hardware faces challenges with increasing data transmission and power consumption demands for high-quality imaging.
• Existing systems struggle to efficiently process the large raw data generated for accurate diagnoses.

Purpose of the Study:

• To develop an integrated in-X-ray-detector computing scheme to overcome hardware limitations.
• To enhance X-ray imaging by reducing data load and improving processing efficiency directly within the detector.

Main Methods:

• Developed a CsPbBr3 single-crystal X-ray detector with reconfigurable polarity, a wide linear dynamic range (106 dB), and robust stability.
• Implemented a stable, trap-free device structure for enhanced performance.
• Demonstrated in-detector computing capabilities for edge extraction and pattern recognition.

Main Results:

• Achieved edge extraction imaging with a data compression ratio of approximately 50%.
• Demonstrated 100% accuracy in programmed pattern recognition tasks.
• The detector exhibited a high linear dynamic range and robust stability.

Conclusions:

• In-X-ray-detector computing based on CsPbBr3 single crystals offers a promising solution for intelligent X-ray imaging.
• This technology can effectively reduce data transmission and power consumption while maintaining high accuracy.
• The developed detector is suitable for flexible and complex imaging scenarios.