A5066647062- Spine and Intervertebral Disc Pathology
- Spinal Fractures and Fixation Techniques
- Medical Imaging and Analysis
- Cervical and Thoracic Myelopathy
- Muscle activation and electromyography studies
- Stroke Rehabilitation and Recovery
- 3D Shape Modeling and Analysis
- Spinal Cord Injury Research
Beihang University
2022-2024
Wuhu Hit Robot Technology Research Institute
2022-2024
Background: The main function of robots in spine surgery is to assist with pedicle screw placement. Laminectomy, which as important placement, lacks a mature robot-assisted system. aims this study were introduce the first autonomous laminectomy robot, explore feasibility robotic laminectomy, and validate its accuracy using cadaveric model. Methods: Forty vertebrae from 4 cadavers included study; 7 thoracic 3 lumbar randomly selected each cadaver. surgeon was able plan path based on computed...
The application of robots in the field pedicle screw placement has achieved great success. However, decompressive laminectomy, a step that is just as critical placement, does not have mature robot-assisted system. To address this lack, authors designed collaborative spine robot system to assist with laminectomy. In study, they aimed investigate reliability novel spinal and compare it manual laminectomy (ML).Thirty vitro porcine lumbar vertebral specimens were obtained experimental bone...
OBJECTIVE This study aimed to introduce a novel artificial intelligence (AI)–based robotic system for autonomous planning of spinal posterior decompression and verify its accuracy through cadaveric model. METHODS Seventeen vertebrae from 3 cadavers were included in the study. Three thoracic (T9–11) lumbar (L3–5) selected each cadaver. After obtaining CT data, independently planned laminectomy path based on AI algorithms before surgical procedure automatically performed during procedure. A...
Abstract To eliminate unnecessary background information, such as soft tissues in original CT images and the adverse impact of similarity adjacent spines on lumbar image segmentation surgical path planning, a two‐stage approach for localising segments is proposed. First, based multi‐scale feature fusion technology, non‐linear regression method used to achieve accurate localisation overall spatial region spine, effectively eliminating useless tissues. In second stage, we directly realised...
Spinal surgery robots have a great application value in laminar decompression surgery. For safe surgery, the robot needs to accurately identify cutting state of lamina. Therefore, it is very important deal with various sensing signals form time series. However, recognition algorithms proposed so far cannot completely avoid through lamina, leaving hidden dangers for nerve thermal damage caused by high-temperature liquid splashing. We propose long series prediction algorithm called STP-Net,...
Objective: This study aims to use artificial intelligence realize the automatic planning of laminectomy, and verify method. Methods: We propose a two-stage approach for laminectomy cutting plane planning. The first stage was identification key points. 7 points were manually marked on each CT image. Spatial Pyramid Upsampling Network (SPU-Net) algorithm developed by us used accurately locate In second stage, based points, personalized coordinate system generated vertebra. Finally, transverse...