Optimising automatic exposure control in computed radiography and the impact on patient dose

Area of Science:

• Medical Physics
• Radiologic Technology
• Diagnostic Imaging

Background:

• Computed radiography (CR) systems require automatic exposure controls (AECs) to maintain consistent image quality.
• The response of AECs in CR differs from conventional film-screen systems, particularly with varying X-ray beam energies.
• Current AEC adjustment for CR systems often relies on dose to the imaging receptor.

Purpose of the Study:

• To investigate alternative parameters for setting AECs in CR systems.
• To evaluate the efficacy of exposure indicators, image receptor dose, and image noise for AEC calibration.
• To report on practical experiences and patient dose survey findings from implementing optimized AEC settings.

Main Methods:

• Investigated three potential parameters for AEC setting: CR manufacturer's exposure indicator, dose to the image receptor, and image noise.
• Described practical experiences gained during the setup of CR systems with adjusted AECs.
• Conducted a patient dose survey to assess the impact of the optimized AEC settings.

Main Results:

• The study explored the use of exposure indicators, image receptor dose, and image noise for AEC calibration in CR.
• Experiences from system setup and a patient dose survey were documented.
• Findings contribute to optimizing AEC performance in clinical CR environments.

Conclusions:

• The investigation provides insights into optimizing automatic exposure control (AEC) calibration for computed radiography (CR) systems.
• Evaluating parameters like exposure indicators, image receptor dose, and image noise is crucial for consistent image quality and patient safety.
• The study highlights the importance of tailored AEC settings for different CR equipment and clinical protocols.