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Design and Evaluation of a Needle Manipulation System with EM Tracking for CT-Guided Spinal Injections.
Chang Chang1, Junling Mei2, Yanzhou Wang1
1Department of Mechanical Engineering and the Laboratory of Computational Sensing and Robotics, Johns Hopkins University, Baltimore, MD, USA.
Summary
This study introduces a new needle guidance system for spinal injections, improving accuracy by combining CT and electromagnetic tracking with a finite element simulator. The system achieved 0.4mm targeting accuracy in phantom tests.
Area of Science:
- Medical Imaging and Interventional Procedures
- Robotics and Control Systems
- Biomedical Engineering
Background:
- Percutaneous spinal injections require precise needle placement to ensure efficacy and patient safety.
- Integrating different imaging and tracking modalities for real-time guidance remains a challenge.
- Finite element simulation offers potential for predictive modeling in minimally invasive procedures.
Purpose of the Study:
- To present a novel flexible needle guidance system for percutaneous spinal injections.
- To enable seamless registration between computed tomography (CT), electromagnetic (EM) tracking, and finite element (FE) simulation.
- To enhance intraoperative needle trajectory control and obstacle avoidance.
Main Methods:
- Development of a workflow integrating CT (pre/postoperative) and EM tracking (intraoperative).
- Implementation of a finite element simulator coupled with an EM-based needle controller.
- Evaluation using a multi-layer soft tissue phantom to assess targeting accuracy.
Main Results:
- The integrated system successfully registered CT and EM tracking data with the FE simulator.
- The system demonstrated effective intraoperative tracking of the planned needle trajectory.
- An average targeting accuracy of 0.4mm was achieved in phantom evaluations.
Conclusions:
- The proposed flexible needle guidance system offers a viable solution for accurate percutaneous spinal injections.
- Combining pre- and intraoperative imaging with FE simulation enhances needle placement precision.
- This approach has the potential to improve safety and outcomes in spinal interventions.

