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About

Shijie Hong is pioneering the integration of robotics and advanced imaging for next-generation neurosurgery. His research focuses on two critical frontiers: robot-assisted stereotactic neurointervention and intelligent surgical planning using multimodal MRI. Hong’s most cited work introduces a novel hybrid pneumatic-hydraulic actuation system specifically designed for MRI-guided robotic procedures, addressing the long-standing challenge of maintaining robotic precision within the strong magnetic fields of an MRI scanner. This innovation promises to enhance the stability and provide interactive feedback for delicate procedures like deep brain stimulation electrode implantation and tumor ablation, moving beyond conventional manual approaches. Complementing this, Hong has developed a Surgical Planning for Brain Intervention (SPBI) system that leverages multimodal brain MR images to create a comprehensive navigation framework for robot-assisted neurosurgery. His work directly tackles the need for accurate, real-time guidance in interventional MRI, with his primary paper already garnering 5 citations shortly after publication. By merging surgical robotics with sophisticated image-based planning, Hong is laying the groundwork for safer, more precise, and less invasive brain interventions.