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Estimation of Model Parameters for Steerable Needles.

Wooram Park1, Kyle B Reed, Allison M Okamura

  • 1Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, USA. wpark7@jhu.edu.

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Summary
This summary is machine-generated.

Researchers developed a new model to predict flexible needle bending during insertion into tissue. This improved model enhances accuracy in minimally invasive surgery applications.

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Area of Science:

  • Robotics and Control Systems
  • Medical Device Engineering
  • Biomedical Engineering

Background:

  • Flexible needles with bevel tips are crucial for minimally invasive surgery and percutaneous therapies.
  • Needle bending during insertion into soft tissue, caused by bevel geometry, introduces variability.
  • Current models struggle to accurately capture the non-repeatable nature of this bending behavior.

Purpose of the Study:

  • To characterize and model the deviations in needle tip pose (position and orientation) during insertion.
  • To develop closed-form equations for predicting needle bending variability.
  • To improve the accuracy of flexible needle insertion models.

Main Methods:

  • Performing repeated insertions of flexible needles into artificial tissue.
  • Calculating the covariance of needle tip pose distribution from experimental data.
  • Developing and refining a modified needle insertion model with three noise parameters.

Main Results:

  • Established closed-form equations to describe covariance variation with model parameters.
  • Estimated model parameters by matching theoretical and experimental covariance.
  • Achieved a significant reduction in covariance error from 26.1% to 6.55% using the modified model.

Conclusions:

  • The modified needle model with three noise parameters better represents the stochastic behavior of flexible needle insertion.
  • This enhanced model significantly improves prediction accuracy for needle tip pose deviations.
  • The findings contribute to more reliable and precise flexible needle-based medical interventions.