Tianjian Liu

Second Affiliated Hospital of Zhejiang University, Zhejiang University

Papers

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About

Tianjian Liu is a pioneering researcher at the intersection of medical robotics and ultrasound imaging, with a core focus on advancing minimally invasive spinal surgery. His major contributions lie in developing intelligent robotic systems that replace traditional X-ray fluoroscopy with safer, real-time ultrasound guidance—a paradigm shift aimed at reducing radiation exposure for both patients and surgeons. Liu’s work introduces flexible and compliant robotic scanning platforms capable of autonomously imaging the human spine, enabling high-consistency, spatial-property labeled data acquisition for surgical navigation. Notably, his 2021 paper on a flexible ultrasound scanning system for spinal surgery navigation has garnered 21 citations, establishing a foundation for radiation-free surgical guidance. His 2023 study on a compliant-joint robotic system for vertebral level identification (10 citations) addresses a critical bottleneck in pre-surgical planning, while his 2024 work on multi-approach puncture for endoscopic spinal surgery (8 citations) tackles the challenge of spatial orientation in confined surgical corridors. By engineering systems that allow puncture trajectories beyond the conventional ultrasound plane, Liu is directly responding to the unmet needs of endoscopic procedures. His cumulative work demonstrates a clear trajectory from proof-of-concept to clinically relevant solutions, positioning him as a rising leader in robot-assisted ultrasound for spine surgery.