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Sensorless motion planning for medical needle insertion in deformable tissues.

Ron Alterovitz1, Kenneth Y Goldberg, Jean Pouliot

  • 1Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599-3175, USA. ron@cs.unc.edu

IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society
|January 8, 2009
PubMed
Summary

Physicians can now train and plan minimally invasive procedures with a new needle insertion system. This simulation reduces target placement error in soft tissues by predicting and compensating for tissue deformation.

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Area of Science:

  • Medical simulation
  • Robotics
  • Biomedical engineering

Background:

  • Minimally invasive procedures require precise needle insertion into soft tissues.
  • Tissue deformation during insertion causes target displacement, complicating procedures like biopsies and brachytherapy.
  • Current training and planning methods lack accuracy due to these complexities.

Purpose of the Study:

  • To develop an interactive simulation system for needle insertion in deformable tissues.
  • To create a motion planning algorithm that compensates for tissue deformation and reduces placement error.
  • To enhance physician training and preoperative planning for needle-guided interventions.

Main Methods:

  • A 2-D physically-based, dynamic simulation using a finite-element model for soft tissues.

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  • Modeling of needle cutting and frictional forces, ensuring simulation stability and real-time performance.
  • Integration of texture mapping for ultrasound-like visualization.
  • A sensorless planning algorithm employing numerical optimization for insertion offset computation.

    • Main Results:

    • The simulation achieves interactive, real-time performance on standard PCs.
    • Visualization is comparable to ultrasound imaging, aiding procedural understanding.
    • The planning algorithm successfully computes offsets to compensate for tissue deformation.
    • The system demonstrated potential in minimizing seed placement error for prostate brachytherapy.

    Conclusions:

    • The developed needle insertion motion planning system provides a valuable tool for training and preoperative planning.
    • The interactive simulation and optimization algorithm effectively address challenges posed by soft tissue deformation.
    • This technology can improve accuracy and reduce errors in various minimally invasive medical procedures.