Quantitative modeling of perovskite-based direct X-ray flat panel detectors

Area of Science:

• Semiconductor physics
• Medical imaging technology
• Detector science

Background:

• Direct X-ray detectors are crucial for high-quality medical imaging.
• Previous research often focused on individual detector parameters, neglecting their combined impact on detective quantum efficiency (DQE).
• A holistic approach is needed to understand detector performance.

Discussion:

• A numerical model quantifies the relationship between X-ray detector properties, electric circuits, and DQE.
• The model highlights that maximizing X-ray sensitivity is not the sole determinant of performance.
• Achieving an 80% reduction in medical X-ray dose requires sensitivity around 10^3 μCGy⁻¹⋅cm⁻².

Key Insights:

• High DQE (0.7) is achievable with moderate sensitivity (1248–8171 μCGy⁻¹⋅cm⁻²).
• Stringent requirements exist for dark current density (10–100 nA⋅cm⁻²) and its fluctuation (0.21–1.37 nA⋅cm⁻²).
• Noise characteristics are as critical as sensitivity for optimal DQE.

Outlook:

• This model provides a framework for designing next-generation direct X-ray detectors.
• It guides material selection and circuit design for improved medical imaging.
• Future work can refine the model for specific detector technologies and applications.