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A method for planning safe trajectories in image-guided keyhole neurosurgery
Reuben R Shamir1, Idit Tamir, Elad Dabool
1School of Engineering and Computer Science, The Hebrew University, Jerusalem, Israel. rubke@cs.huji.ac.il
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|October 1, 2010
Summary
This study introduces a new preoperative planning method for image-guided keyhole neurosurgery, significantly reducing surgical risks and planning time by quantifying trajectory safety. The tool aids surgeons in selecting the safest path for straight tool insertion.
Area of Science:
- Neurosurgery
- Medical Imaging
- Surgical Planning
Background:
- Image-guided keyhole neurosurgery utilizes straight tools, posing risks during insertion.
- Current preoperative planning methods may not adequately quantify trajectory risks.
Purpose of the Study:
- To present a novel preoperative planning method to reduce risks in image-guided keyhole neurosurgery.
- To assist neurosurgeons in selecting the safest surgical trajectories.
Main Methods:
- Developed a method to quantify risks of multiple candidate trajectories.
- Visualized risk data on the outer head surface for surgeon assistance.
- Evaluated trajectory risk based on tool placement uncertainty, proximity to critical brain structures, and geometric risk measures.
Main Results:
- Demonstrated a significant reduction in trajectory risk across five neurosurgical cases.
- Showcased a notable shortening of preoperative planning time compared to routine methods.
- Enabled surgeons to interactively define, revise, and add trajectories with quantitative risk feedback.
Conclusions:
- The new planning method enhances safety in image-guided keyhole neurosurgery.
- This approach streamlines preoperative planning, saving valuable time for surgeons.
- Quantitative risk assessment and interactive visualization are key benefits for trajectory selection.
