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Related Experiment Video

Updated: May 10, 2026

Robotic Cochlear Implantation for Direct Cochlear Access
08:06

Robotic Cochlear Implantation for Direct Cochlear Access

Published on: June 16, 2022

Surgical planning tool for robotically assisted hearing aid implantation.

Nicolas Gerber1, Brett Bell, Kate Gavaghan

  • 1ARTORG Center for Biomedical Engineering Research, University of Bern, Murtenstrasse 50, 3010 , Bern, Switzerland, nicolas.gerber@artorg.unibe.ch.

International Journal of Computer Assisted Radiology and Surgery
|June 15, 2013
PubMed
Summary

A new software system enables safe and efficient surgical planning for robotically performed direct cochlea access (DCA) procedures. This tool helps define safe trajectories, improving accuracy and reducing procedure time for minimally invasive middle ear surgery.

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Area of Science:

  • Neurosurgery
  • Medical Robotics
  • Surgical Planning Software

Background:

  • Minimally invasive robotically performed direct cochlea access (DCA) requires precise surgical planning.
  • Current planning methods have deficiencies in landmark definition, anatomical identification, and trajectory planning.
  • Patient-specific image data (CT, cone beam CT) are crucial for planning DCA procedures.

Purpose of the Study:

  • To develop a dedicated end-to-end software planning system for direct cochlea access (DCA) procedures.
  • To address deficiencies in current surgical planning tools for robotic DCA.
  • To facilitate the definition of safe DCA trajectories using patient imaging data.

Main Methods:

  • Implemented semiautomatic algorithms for efficient and robust anatomical segmentation.

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Last Updated: May 10, 2026

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  • Developed an automated model-based fiducial detection algorithm for high-accuracy patient-to-image registration.
  • Integrated functionality for interactive definition of safe drilling trajectories, including drill positioning uncertainty calculations.

    • Main Results:

    • Validated the software tool's accuracy and safety in eight DCA procedures on cadaver heads.
    • Completed surgical plans in under 20 minutes per ear.
    • Achieved final positioning accuracies of 0.15 ± 0.08 mm with integrated fiducial detection, with no damage to vital structures.

    Conclusions:

    • The developed software system effectively aids in the safe planning of direct cochlea access (DCA) tunnels.
    • The planning process was completed within an acceptable timeframe.
    • The system enhances precision and safety for minimally invasive cochlear procedures.