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Virtual reality simulation of robotic transsphenoidal brain tumor resection: Evaluating dynamic motion scaling in a
Saúl A Heredia-Pérez1, Kanako Harada2, Miguel A Padilla-Castañeda1
1Applied Sciences and Technology Institute, National Autonomous University of Mexico, Mexico City, Mexico.
Background:
Integrating simulators with robotic surgical procedures could assist in designing and testing of novel robotic control algorithms and further enhance patient-specific pre-operative planning and training for robotic surgeries.
Methods:
A virtual reality simulator, developed to perform the transsphenoidal resection of pituitary gland tumours, tested the usability of robotic interfaces and control algorithms. It used position-based dynamics to allow soft-tissue deformation and resection with haptic feedback; dynamic motion scaling control was also incorporated into the simulator.
Results:
Neurosurgeons and residents performed the surgery under constant and dynamic motion scaling conditions (CMS vs DMS). DMS increased dexterity and reduced the risk of damage to healthy brain tissue. Post-experimental questionnaires indicated that the system was well-evaluated by experts.
Conclusion:
The simulator was intuitively and realistically operated. It increased the safety and accuracy of the procedure without affecting intervention time. Future research can investigate incorporating this simulation into a real micro-surgical robotic system.
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