Development of a tool to aid the radiologic technologist using augmented reality and computer vision

Area of Science:

• Radiologic Technology
• Medical Imaging Devices

Background:

• Repeat imaging in radiography leads to increased patient radiation dose and healthcare costs.
• Technologists face daily challenges in accurately positioning patients and setting optimal exposure techniques.
• Existing methods for patient assessment lack real-time feedback during the radiographic procedure.

Purpose of the Study:

• To introduce a novel device designed to minimize exposure variation and repeat imaging in computed and digital radiography.
• To assist radiologic technologists by providing real-time patient positioning and thickness data.
• To enhance the efficiency and accuracy of radiographic examinations.

Main Methods:

• Development of a device integrating a color video camera, depth camera, proprietary software, and user interface.
• Real-time display of patient position relative to automatic exposure control (AEC) chambers and image receptor.
• Automatic measurement of patient thickness and motion indication for the examined body part.

Main Results:

• The device provides automatic patient thickness measurement for setting X-ray technique.
• It assists technologists in identifying positioning and motion errors prior to X-ray exposure.
• Potential for significant reduction in repeat imaging incidents.

Conclusions:

• This innovative device offers a solution to common technologist challenges in radiography.
• It has the potential to improve image quality and reduce radiation exposure by minimizing repeat scans.
• The technology supports more accurate and efficient radiographic procedures.