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A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
Published on: May 11, 2020
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[Uncalibrated Positioning Method for Puncture Robots Based on Optical Navigation]
Qiwan Wang1, Ting Feng2, Rongqian Yang3
1School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, 510006.
Summary
This study introduces an uncalibrated optical navigation method for robotic puncture systems, improving accuracy and reducing setup time in minimally invasive surgery by eliminating traditional hand-eye calibration.
Area of Science:
- Robotics and Automation
- Medical Imaging
- Surgical Navigation
Context:
- Minimally invasive surgery increasingly utilizes robotic puncture systems.
- Traditional hand-eye calibration is time-consuming and environmentally sensitive, impacting robotic puncture accuracy.
- Accurate spatial relationship determination is crucial for robotic surgical precision.
Purpose:
- To propose an uncalibrated positioning method for robotic puncture systems using optical navigation.
- To enhance puncture accuracy and reduce setup time compared to traditional calibration methods.
- To develop a robust localization technique for robotic surgical applications.
Summary:
- A novel two-stage positioning method (angle and position) is presented, utilizing specific image features.
- An image Jacobian matrix is constructed and updated via online estimation with a cubature Kalman filter.
- The system drives the robotic puncture system for precise target path localization without prior calibration.
Impact:
- The uncalibrated method demonstrates superior accuracy over traditional hand-eye calibration.
- Significant reduction in preoperative preparation time by eliminating the need for calibration.
- Potential to improve efficiency and reliability in robotic-assisted minimally invasive procedures.
