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Integrated Planning and Image-Guided Control for Planar Needle Steering.

Kyle B Reed1, Vinutha Kallem, Ron Alterovitz

  • 1Department of Mechanical Engineering, Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, USA.

Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics
|July 20, 2010
PubMed
Summary

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This study introduces a novel needle steering system for enhanced medical procedures. It enables precise navigation within the body, improving targeting accuracy and minimizing patient trauma through advanced planning and control.

Area of Science:

  • Medical Robotics
  • Surgical Navigation
  • Biomedical Engineering

Background:

  • Flexible, tip-steerable needles offer improved surgical precision and reduced patient trauma.
  • Existing needle steering systems require enhanced planning and control for complex maneuvers.

Purpose of the Study:

  • To present a functional needle steering system integrating patient-specific planning and image-guided control.
  • To improve the accuracy and safety of minimally invasive procedures using steerable needles.

Main Methods:

  • Developed a patient-specific 2D planner (Stochastic Motion Roadmap) for route finding within tissue slices.
  • Implemented a low-level image-guided feedback controller to maintain the needle within the planned slice.
  • Extended a nonholonomic kinematic model to accommodate bevel-tip needle steering with 180° rotations and compensated for torsional compliance.

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Main Results:

  • Demonstrated accurate targeting and effective obstacle avoidance using the integrated system.
  • The system successfully updated planned routes in real-time.
  • The extended kinematic model accurately predicted needle behavior, including discontinuities from rotations.

Conclusions:

  • The integrated needle steering system enhances physicians' ability to navigate complex anatomical targets.
  • The system's planning and control components, combined with torsion compensation, enable precise and safe minimally invasive interventions.
  • This technology has the potential to significantly advance interventional medicine by improving procedural outcomes.