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Fully Distributed Shape Sensing of a Flexible Surgical Needle Using Optical Frequency Domain Reflectometry for

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Summary
This summary is machine-generated.

This study presents an optimized needle shape-sensing method for improved accuracy in minimally invasive procedures. The novel technique enhances needle placement precision, reducing the need for adjustments during biopsies and brachytherapy.

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Area of Science:

  • Medical Devices
  • Biomedical Engineering
  • Sensing Technology

Background:

  • Accurate needle placement is critical for minimally invasive procedures like biopsies and brachytherapy.
  • Current tracking methods face limitations in reliability, resolution, and image contrast, leading to frequent adjustments and reinsertions.

Purpose of the Study:

  • To develop and validate an optimized needle shape-sensing method for precise needle placement.
  • To overcome the limitations of existing tracking technologies in interventional procedures.

Main Methods:

  • Utilized a fully distributed grating-based sensor with optical frequency domain reflectometry (OFDR).
  • Employed trigonometric and geometric modeling for fiber shape analysis, independent of tissue properties.
  • Incorporated a reproducible calibration process and a novel tip curvature compensation method.

Main Results:

  • Achieved submillimeter accuracy (average RMSE from 0.58 ± 0.21 mm to 0.66 ± 0.20 mm).
  • Validated the method in artificial isotropic and inhomogeneous animal tissues using 3D stereo vision and CBCT.
  • Demonstrated a reliable and accurate needle shape-sensing approach.

Conclusions:

  • The optimized needle shape-sensing method significantly enhances accuracy in minimally invasive procedures.
  • This technology offers a promising solution for improving needle placement precision and reducing procedural complications.
  • The developed method is suitable for real-time guidance in image-guided interventions.