Needle Steering in 3-D Via Rapid Replanning

Area of Science:

• Medical Robotics
• Surgical Navigation
• Biomedical Engineering

Background:

• Steerable needles enhance precision in clinical procedures like biopsy and drug delivery.
• Current systems face challenges in accuracy and accessing difficult anatomical targets.

Purpose of the Study:

• To develop and evaluate a new automated needle steering system for 3D environments.
• To improve targeting accuracy and obstacle avoidance in needle-based interventions.

Main Methods:

• A closed-loop control system integrates planning and control using a fast, continuously replanning algorithm.
• An efficient sampling-based rapidly exploring random tree (RRT) planner with variable curvature kinematics and a novel distance metric was employed.
• An electromagnetic tracking system provided real-time sensory feedback of the needle tip's state.

Main Results:

• The system successfully planned and controlled needle motion in 3D, avoiding obstacles.
• Experimental evaluation using tissue phantoms and ex vivo animal tissue demonstrated an average targeting error of less than 3 mm.
• The rapid replanning approach significantly reduced computation time compared to previous 3D methods.

Conclusions:

• The presented steerable needle system offers a robust solution for accurate 3D needle-based procedures.
• The system's ability to navigate complex anatomy and avoid obstacles enhances its clinical potential.
• This advancement promises to improve the effectiveness of minimally invasive interventions.