A Novel Sensor Fusion Approach to Autonomous Robotic Ultrasound Imaging of the Lumbar Region

This thesis investigates the automation of ultrasound imaging using a novel sensor fusion approach and a robot. It introduces a method that combines depth and thermal images to automate ultrasound imaging, thereby improving the efficiency of medical diagnostics. By reducing the need for skilled operators and minimizing the risk of musculoskeletal disorders in sonographers, this research has the potential to improve patient outcomes and streamline medical procedures. The development of a safe and effective robotic system for ultrasound imaging represents a significant advancement in medical technology, offering a reliable alternative to manual imaging techniques.