Computer-assisted planning for a concentric tube robotic system in neurosurgery.

Area of Science:

• Neurosurgery
• Robotics
• Medical Physics

Background:

• Laser-induced thermotherapy (LIT) is a minimally invasive technique for brain tumor ablation.
• Current LIT systems struggle with irregularly shaped tumors, limiting treatment options.

Purpose of the Study:

• To present a novel concentric tube robotic system for LIT.
• To develop a computer-assisted planning procedure for complex tumor geometries.
• To optimize laser ablation distribution and robot configuration for effective tumor denaturation.

Main Methods:

• A novel computer-assisted planning procedure was developed.
• The planning was decomposed into task-specific and robot-specific components.
• A multi-objective particle swarm optimization algorithm with variable length was employed.

Main Results:

• The algorithm identified Pareto-optimal ablation distributions for patient datasets.
• Multiple objectives were considered for treatment planning.
• Optimal robot parameters and trajectories were determined for accessing tumor volumes.

Conclusions:

• The proposed planning procedure effectively enables LIT for irregularly shaped brain tumors.
• The use of multiple trajectories enhances the applicability of the robotic system.
• This approach expands minimally invasive treatment possibilities for complex brain pathologies.