Development of a body movement detection system to avoid re-exposure during radiography

Area of Science:

• Medical Imaging
• Biomedical Engineering
• Radiography

Background:

• Patient movement and breathing during radiography often lead to re-exposures, increasing radiation dose and workload.
• Accurate detection of patient motion is crucial for optimizing radiographic procedures and patient safety.

Purpose of the Study:

• To develop and evaluate a body movement detection system for radiography that accounts for breathing movements.
• To prevent re-exposures caused by patient motion and breathing during X-ray examinations.

Main Methods:

• Utilized an RGB camera to monitor patient posture during radiographic examinations.
• Analyzed video data using inter-frame difference and optical flow estimation methods to detect body and breathing movements.
• Evaluated system performance by quantifying detected movements in pixels and millimeters.

Main Results:

• The inter-frame difference method detected significant pixel movements during body (179.8-1222.2 pixels) and breathing (82-585 pixels) movements.
• Optical flow estimation measured body movements (5.5-26.6 mm) and breathing movements (5.2 mm), correlating with pixel data.
• The system successfully detected patient movements relevant to radiography.

Conclusions:

• The developed system effectively detects patient body and breathing movements during radiography.
• This technology can prevent unnecessary re-exposures, reduce patient radiation dose, and decrease radiographic workload.
• The system offers a valuable tool for improving the efficiency and safety of radiographic procedures.