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Related Concept Videos

The Cochlea01:13

The Cochlea

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The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
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Related Experiment Video

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The Miniature Pig: A Large Animal Model for Cochlear Implant Research
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Automatic Model Generation Framework for Computational Simulation of Cochlear Implantation.

Nerea Mangado1, Mario Ceresa2, Nicolas Duchateau3

  • 1Simbiosys Research Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain. nerea.mangado@upf.edu.

Annals of Biomedical Engineering
|December 31, 2015
PubMed
Summary

This study introduces an automated framework for creating patient-specific computational models of cochlear implants. This technology enables faster, more accurate surgical planning and prognosis for cochlear implantation.

Keywords:
Automatic frameworkCochlear implantsMulti-object modelingStatistical shape modelThree dimensional finite element meshVirtual surgical insertion

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Area of Science:

  • Biomedical Engineering
  • Computational Anatomy
  • Medical Imaging

Background:

  • Computational modeling aids in predicting cochlear implant performance before surgery.
  • Generating patient-specific anatomical models with implant geometry is challenging.

Purpose of the Study:

  • To develop an automated framework for generating patient-specific finite element meshes of the implanted cochlea.
  • To enable in silico analysis of cochlear implant electrical stimulation.

Main Methods:

  • Constructing a statistical shape model from micro-CT images.
  • Fitting the statistical model to patient CT scans for patient-specific anatomy.
  • Utilizing a parallel transport frame algorithm for virtual implant insertion.
  • Incorporating surrounding bone and nerve fibers with constitutive parameters.

Main Results:

  • Successfully generated patient-specific finite element meshes for 25 cochlear implant models.
  • Achieved an average mesh generation time of 94 seconds.
  • Demonstrated a fast and robust framework for simulation-ready models.

Conclusions:

  • The automated framework significantly simplifies the creation of patient-specific cochlear models.
  • This approach facilitates detailed in silico prognosis for cochlear implantation surgery.
  • The method is promising for improving surgical planning and outcomes.