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Validation of High Precision Robot-Assisted Methods for Intracranial Applications: Preliminary Study
Abhishek Kaushik1, T A Dwarakanath2, Gaurav Bhutani3
1Department of Engineering Sciences, Homi Bhabha National Institute, Mumbai, India.
World Neurosurgery
|February 8, 2020
Summary
This study validates robot-assisted autonomous neurosurgery using a carrot model, achieving high accuracy for neuroregistration and neuronavigation. Results show precision within 1 mm, paving the way for human trials.
Area of Science:
- Robotics
- Neurosurgery
- Medical Imaging
Background:
- Simulating robot-based autonomous neurosurgery for procedures like biopsy.
- Validating autonomous neuroregistration and neuronavigation for stereotactic accuracy.
Purpose of the Study:
- To assess robot-assisted autonomous neurosurgical capabilities using a vegetable model.
- To validate target accuracy and stereotactic navigation in a simulated neurosurgical environment.
Main Methods:
- Utilizing a carrot as a vegetable specimen with affixed markers for autonomous registration.
- Employing a robot for precise subject registration and autonomous target access.
- Following pre-defined navigation trajectories from medical imaging data.
Main Results:
- Achieved target accuracies within 1 mm in simulated neurosurgical procedures.
- Demonstrated consistent performance in accuracy, precision, and repeatability.
- Considered intricate cases including entry hole size, depth, and target size in trials.
Conclusions:
- The study validates high-precision robot-assisted neuroregistration and neuronavigation.
- Results indicate enhanced accuracy, precision, and time efficiency.
- The findings support progression towards animal and human neurosurgical trials.
