A Dynamic Guidance Method and System for Lumbar Pedicle Screws Based on Augmented Reality
By constructing a precise registration between a physical lumbar spine skeleton model and a 3D model, and dynamically acquiring the real-time path trajectory of the screw, the problem of registration deviation in lumbar pedicle screw implantation surgery in existing technologies has been solved, achieving high-precision and safe lumbar pedicle screw implantation.
CN120938598BActive Publication Date: 2026-05-26THE THIRD AFFILIATED HOSPITAL OF SOUTHERN MEDICAL UNIV (ACAD OF ORTHOPEDICS GUANGDONG PROVINCE)
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Patent Information
- Authority / Receiving Office
- CN Β· China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- THE THIRD AFFILIATED HOSPITAL OF SOUTHERN MEDICAL UNIV (ACAD OF ORTHOPEDICS GUANGDONG PROVINCE)
- Filing Date
- 2025-10-15
- Publication Date
- 2026-05-26
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Figure CN120938598B_ABST
Abstract
This invention relates to the field of intelligent medical technology, and in particular to an augmented reality-based dynamic guidance method and system for lumbar pedicle screw implantation. The method includes the following steps: constructing a physical lumbar spine model of the patient and acquiring cubic markers of the physical lumbar spine model to establish a spatial coordinate system for the lumbar spine; acquiring scanning data of the physical lumbar spine model based on the spatial coordinate system, and reconstructing a three-dimensional lumbar spine model based on the scanning data; obtaining a virtual-to-real registration result of the lumbar spine model by combining the physical lumbar spine model and the three-dimensional lumbar spine model; and obtaining the real-time path trajectory of the lumbar pedicle screw based on the virtual-to-real registration result to achieve dynamic guidance of the lumbar pedicle screw. This invention improves the accuracy and safety of lumbar pedicle screw implantation by achieving dynamic guidance of the screw path through the registration of the physical model and the three-dimensional model, combined with a risk warning mechanism.
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