Liuhong Ma

Chinese Academy of Medical Sciences & Peking Union Medical College

Papers

Total Citations

H-Index

About

Liuhong Ma is a leading researcher in computer-assisted orthopaedic surgery, with a focus on developing intelligent, minimally invasive solutions for age-related bone diseases. Her key research areas include 2D/3D medical image registration, surgical navigation, and robot-assisted orthopaedics. Ma’s most notable contribution is her pioneering work on fiducial-free 2D/3D registration for robot-assisted femoroplasty, a novel procedure designed to prevent osteoporotic hip fractures in the elderly. Her 2020 paper on this topic, which has garnered 35 citations, eliminates the need for external X-ray fiducials attached to the femur—a significant advancement that streamlines surgical workflow, reduces patient discomfort, and improves registration accuracy. This work directly addresses a critical challenge in translating robotic guidance into clinical practice for fragility fracture prevention. By removing the fiducial requirement, Ma’s pipeline enhances the practicality and safety of femoroplasty navigation, potentially expanding access to this life-saving therapy. Her research sits at the intersection of computer vision, robotics, and orthopaedic biomechanics, offering a compelling example of how algorithmic innovation can solve real-world surgical constraints.