MR-COMPATIBLE ROBOTIC SYSTEMS: TOWARDS THE INTRAOPERATIVE MRI-GUIDED INTERVENTIONS
Ka-Wai Kwok, Ziyan Guo, Ziyang Dong, Kit-Hang Lee
The University of Hong Kong, Hong Kong
Advanced surgical robotics has attracted significant research interest in supporting image guidance, even magnetic resonance imaging (MRI) for effective navigation of surgical instruments. In situ effective guidance of access routes to the target anatomy, rendered based on imaging data, can enable a distinct awareness of the position of robotic instrument tip relative to the target anatomy in various types of minimally invasive interventions. Therefore, such MRI-guided robots will rely on real-time processing the co-registration of surgical plan with the imaging data captured during the intervention, as well as computing the relative configuration between the instrument and the anatomy of surgical interest.
This talk will present a compact robotic system capable to operate inside the bore of MRI scanner, as well as its solutions to technical challenges of providing a safe, effective catheter-based surgical manipulation. The proposed image processing system demonstrates its clinical potential of enhanced surgical safety by imposing visual feedback on tele-operated robotic instruments even under large-scale and rapid tissue deformations in soft tissue surgeries, such as cardiac electrophysiology and stereotactic neurosurgery. The ultimate research objective is to enable the operator to perform safe, precise and effective control of robotics instruments with the aid of pre- and intra-operative MRI models. The present work will be timely to bridge the current technical gap between MRI and surgical robotic control.