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Related Experiment Video

Updated: Nov 20, 2025

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

Research software in cochlear duct length estimation, Greenwood frequency mapping and CI electrode array length

Anandhan Dhanasingh¹

¹MED-EL GmbH, Fūrstenweg 77a, 6020, Innsbruck, Austria.

World Journal of Otorhinolaryngology - Head and Neck Surgery

|January 21, 2021

Summary

This summary is machine-generated.

This software estimates cochlear duct length (CDL) and generates frequency maps for cochlear implants (CI). It aids in selecting the best-fitting electrode array for personalized CI solutions, improving patient outcomes.

Keywords:

Cochlear duct length Electrode array Greenwood frequency map

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Last Updated: Nov 20, 2025

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Area of Science:

Biomedical Engineering
Otolaryngology
Medical Imaging

Background:

Cochlear implant electrode array length selection is crucial due to significant variations in human cochlear anatomy.
Accurate estimation of cochlear duct length (CDL) is necessary for matching electrode arrays to individual cochlear sizes, irrespective of CI brand.

Purpose of the Study:

To develop and present research software for estimating patient-specific cochlear duct length (CDL).
To utilize CDL for simulating appropriate cochlear implant electrode array lengths and generating patient-specific cochlear frequency maps.

Main Methods:

Utilized Visual Studio Express 2012 for software development.
Measured basal turn diameter ('A' value) from CT scans of the temporal bone.
Employed Alexiades et al. equations for CDL estimation and Greenwood's equation for frequency mapping.

Main Results:

The software provides patient-specific CDL for various insertion depths and Greenwood's frequency maps.
Users can simulate and visualize the fit of different electrode array lengths within the patient's cochlea.
The software allows for drag-and-drop functionality to mimic post-operative electrode insertion depths.

Conclusions:

The software simplifies CDL estimation and patient-specific frequency map generation for cochlear implants.
Enables clinicians to simulate and identify the optimal cochlear implant electrode array fit.
Promotes individualized cochlear implant solutions, potentially enhancing patient benefits.