Vascular Respiratory Motion Compensation

Vascular respiratory motion compensation aims to accurately track and predict the movement of blood vessels during medical procedures, compensating for the breathing-induced distortions that hinder precise image-guided interventions. Current research focuses on developing real-time algorithms, often employing machine learning models trained on correlations between visible and invisible tissue motion to predict vessel trajectories from live X-ray images. This technology significantly improves the accuracy and safety of minimally invasive vascular interventions, particularly in robot-assisted surgery, by reducing radiation exposure and enhancing the precision of procedures.