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Built-in AEC Assistance

Canon’s Commitment to Further Dose Reduction

Built-in AEC Assistance brochure

For the Ideal AEC Radiography

The CXDI Elite series, the world’s first built-in AEC FPD, allows for automatically terminated exposures without the use of an additional receptor (ion chamber, solid state paddle, etc.).

CXDI-Elite Assists Auto Exposure Control

Built-in AEC Assistance (BiAA) technology enables the detector to monitor the accumulated pixel values in real time at each AEC region of interest (ROI) and signals the generator to stop exposure once a preset value is reached.
There are 5 or 9 AEC Regions of Interest (ROI) depending upon model.
Compatible Detectors: CXDI-720C Wireless, CXDI-820C Wireless, CXDI-420C Wireless, CXDI-420C Fixed

*Option software sold separately and Multibox (MB-02) is also required

CXDI-Elite

Expanding AEC to new applications​

  • No need for traditional AEC receptor (ion chamber, solid state paddle, etc.)
  • Built-in AEC Assistance works via both wireless and wired communication.
  • Radiation dose can be optimized, even in free-position imaging at the bedside, tabletop, wheelchairs, and gurneys.
Expanding AEC to new applications​

Dose Control Performance

  • Phantom Study: Exposure Index (EI) Stability Across Tube Voltage and Patient Thickness

Using PMMA (acrylic) phantoms, this study evaluated the stability of the Exposure Index (EI) in BiAA wireless detectors under varying tube voltage (kV) and patient thickness conditions, in comparison with conventional phototimers.
Across a wide range of imaging settings, BiAA consistently maintained normalized EI values close to 1.0, demonstrating improved stability compared with conventional phototimers. These results highlight BiAA’s potential to deliver consistent image quality and reliable dose monitoring across different clinical scenarios.
This linear response will negate the need for compensation factors in the calibration of the AEC. Thus resulting in more reliable imaging with simpler service setup.

Dependency on Tube Voltage graph image
Dependency on patient thickness graph image

Excerpted from Toyonaga et al., Kyoto University Hospital, 1st Japanese Congress of Radiological Technology and Medicine (2024)