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3D path planning for flexible needle steering in neurosurgery.
Ayoung Hong1, Quentin Boehler1, Roman Moser1
1Multi-Scale Robotics Laboratory, ETH Zürich, Zürich, Switzerland.
This study introduces a 3D path planning method for flexible needles in deep brain stimulation (DBS) procedures. The novel approach enables curved trajectories, enhancing safety and increasing entry point options for reaching DBS targets.
Area of Science:
- Neurosurgery
- Robotics
- Medical Imaging
Background:
- Deep brain stimulation (DBS) procedures require precise needle insertion.
- Current methods often use straight paths, limiting target access and potentially causing damage.
Purpose of the Study:
- To develop and evaluate a 3D path planning method for flexible needles in DBS.
- To enable curved trajectories for safer and more versatile needle insertion.
Main Methods:
- Utilizing a rapidly exploring random tree (RRT) strategy for path planning.
- Incorporating anatomical and flexible needle kinematic constraints.
- Simulating the method on a 3D CAD brain model.
Main Results:
- Demonstrated ability to reach the subthalamic nucleus (STN) and fornix via curved paths.
- Curved paths avoid critical neural structures, unlike straight paths.
- Increased selection of entry points for targeting.
Conclusions:
- The proposed method provides alternative curved paths for flexible needles in DBS.
- This approach enhances safety by avoiding neural damage.
- Offers expanded options for entry points to reach DBS targets effectively.
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