Development of a body movement detection system to avoid re-exposure during radiography.
Michihiro EtoTomofumi NakawatariYuji HatanakaPublished in: Radiological physics and technology (2024)
During the radiographic examination of the chest and bones in hospitals, communicating and maintaining posture is difficult for some patients, and movement before or during X-ray irradiation may necessitate re-exposure owing to body wobbling movements or breathing movements. To prevent the need for re-exposure during radiography and to determine the exposure timing, a body movement detection system that considers breathing movements was developed in this study. The posture of a patient was monitored using an RGB camera. The acquired video data was analyzed to detect body movement using either an inter-frame difference method or an optical flow estimation method. The performance of the system was evaluated by detecting the body and breathing movements during positioning. Consequently, the inter-frame difference method detected 179.8-1222.2 pixels during body movements, and the optical flow estimation method confirmed that the feature points moved by 5.5-26.6 mm (4.2-20.3 pixels). When detecting breathing movements, 82-585 pixels were detected by the inter-frame difference method, and the optical flow estimation method showed that the feature points moved by 5.2 mm (2-4 pixels). Therefore, the proposed method can detect body movements during radiography to prevent re-exposure due to body wobble and breathing movements. For healthcare providers, it will lead to reduce not only concerns about patient exposure but also unnecessary radiographic workload.
Keyphrases
- healthcare
- high resolution
- end stage renal disease
- chronic kidney disease
- magnetic resonance imaging
- computed tomography
- magnetic resonance
- newly diagnosed
- radiation therapy
- deep learning
- prognostic factors
- electronic health record
- peritoneal dialysis
- health insurance
- label free
- cone beam computed tomography
- low cost