Toward Certifiable Motion Planning for Medical Steerable Needles.

Area of Science:

• Robotics
• Medical Engineering
• Computational Geometry

Background:

• Automating medical procedures with steerable needles enhances precision for biopsies and cancer therapy.
• Clinical acceptance requires certified motion planning algorithms for patient safety and regulatory compliance.
• Current steerable needle planners lack completeness guarantees.

Purpose of the Study:

• To develop the first certifiable motion planner for steerable needles.
• To ensure accurate, obstacle-avoiding motion plans or notification of impossibility.
• To advance the automation of complex medical interventions.

Main Methods:

• Introduced a novel adaptation of multi-resolution planning for steerable needles.
• Developed a resolution-complete motion planner.
• Provided theoretical guarantees for plan computation and obstacle avoidance.

Main Results:

• The new motion planner computes exact, obstacle-avoiding plans in finite time.
• Demonstrated faster planning times and higher success rates compared to state-of-the-art methods.
• Achieved completeness guarantees, unlike existing planners.

Conclusions:

• This work presents a significant step towards certifiable motion planning for steerable needles.
• The developed planner enhances safety, accuracy, and efficiency in automated medical procedures.
• The approach paves the way for broader clinical adoption of robotic interventions.