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Resection planning for robotic acoustic neuroma surgery
Kepra L McBrayer1, George B Wanna2,3, Benoit M Dawant1
1Vanderbilt University, Department of Electrical Engineering and Computer Science, Nashville, Tennessee, United States.
Journal of Medical Imaging (Bellingham, Wash.)
|June 15, 2017
Summary
This study introduces an automated method for planning acoustic neuroma surgery robot (ANSR) drilling, significantly reducing surgeon planning time from 35 minutes to about 2 minutes while ensuring safety.
Area of Science:
- Neurosurgery
- Robotics
- Medical Imaging
Background:
- Acoustic neuroma surgery involves manual temporal bone drilling, which is taxing for surgeons.
- Current preoperative planning for acoustic neuroma surgery robot (ANSR) drilling takes approximately 35 minutes.
- Developing automated planning is crucial to reduce surgeon workload and improve efficiency.
Purpose of the Study:
- To develop an automated approach for generating resection plans for ANSR.
- To ensure the automated plan avoids damage to sensitive ear structures.
- To minimize surgeon intervention required for plan verification and editing.
Main Methods:
- Computed atlas-based segmentation of the temporal bone's mastoid section.
- Refined segmentation using anatomical landmarks.
- Applied a safety margin to generate the automatic resection plan.
Main Results:
- The automated process generated safe resection plans for all nine tested CT scans.
- Surgeon verification and editing required only approximately 2 minutes per case.
- High accuracy was achieved with a mean Dice coefficient of 0.99 and surface error of 0.08 mm.
Conclusions:
- The proposed automated resection planning method is viable for ANSR.
- This approach significantly reduces surgeon planning effort and time.
- Automated planning enhances efficiency and safety in acoustic neuroma surgery.
