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Preoperative Needle Insertion Path Planning for Minimizing Deflection in Multilayered Tissues.

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Minimizing needle deflection during soft tissue insertion is crucial. This study introduces an optimization model for preoperative path planning, significantly reducing needle deflection in multi-layered tissues by considering insertion angles and boundary proximity.

Keywords:
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Area of Science:

  • Medical Engineering
  • Robotics
  • Computational Anatomy

Background:

  • Fine needle deflection during soft tissue insertion poses a significant challenge.
  • Needle path optimization is critical for successful tissue interventions.

Purpose of the Study:

  • To develop an optimization-based preoperative path planning model to minimize needle deflection in multi-layered tissues.
  • To determine optimal needle insertion paths considering tissue boundaries and mechanical properties.

Main Methods:

  • An optimization model was proposed to minimize the sum of insertion angles relative to tissue boundaries.
  • Weighting factors were incorporated to account for distances from boundaries and deflection acceptability probability.
  • The model was validated through experiments on two- and three-layered tissue scenarios.

Main Results:

  • The proposed model successfully determined optimal insertion paths in all tested scenarios.
  • The model effectively minimized needle deflection during insertion into multi-layered tissues.
  • Validation confirmed the model's capability in diverse tissue configurations.

Conclusions:

  • The developed optimization model provides an effective strategy for preoperative planning of needle insertion in complex anatomical structures.
  • This approach enhances the accuracy and safety of procedures involving multi-layered tissue penetration.
  • The model's ability to minimize needle deflection is a key advancement for minimally invasive interventions.