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Related Concept Videos

Anatomy of the Ear01:16

Anatomy of the Ear

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Auditory sensation, commonly called hearing, involves the transformation of sonic waves into neural impulses facilitated by the structures of the auditory organ. The prominent, flesh-like structure on the side of the head, called the auricle, directs sound waves towards the auditory canal. The auricle is often mislabeled as the pinna, a term more aligned with mobile structures like a feline's external ear. The auditory canal penetrates the cranium via the external auditory meatus of the...
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Related Experiment Video

Updated: Apr 17, 2026

The Miniature Pig: A Large Animal Model for Cochlear Implant Research
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Developing a parametric ear model for auricular reconstruction: a new step towards patient-specific implants.

E J Bos1, T Scholten2, Y Song2

  • 1Dept. of Plastic & Reconstructive Surgery, VUMC, The Netherlands; Burn Centre Beverwijk, The Netherlands.

Journal of Cranio-Maxillo-Facial Surgery : Official Publication of the European Association for Cranio-Maxillo-Facial Surgery
|February 24, 2015
PubMed
Summary

This study presents a customizable parametric model for 3D printing patient-specific ear implants. This method enhances ear reconstruction by improving implant fit and aesthetic outcomes.

Keywords:
EarImplantModelParametricPersonalizedReconstruction

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Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • 3D Printing

Background:

  • Ear reconstruction requires precise implant frameworks for aesthetic success.
  • Implant dimensions must align with surgical capabilities and tissue availability.
  • Developing customizable models is crucial for personalized ear reconstruction.

Purpose of the Study:

  • To develop a customizable parametric ear model for 3D printing of ear implants.
  • To integrate different disciplines for improved ear reconstruction solutions.
  • To adapt implant dimensions to surgical possibilities.

Main Methods:

  • Computed tomography (CT) scans of cadaver ears were acquired and converted to STL data.
  • An adjustable parametric model was created using Rhinoceros and Grasshopper software.
  • Directed Hausdorff distance (DHD) was used to measure model-to-scan similarity.

Main Results:

  • The parametric model demonstrated high similarity to ear cartilage scan data.
  • Mean directed Hausdorff distance (MDHD) averaged 0.8 mm (±0.05 mm).
  • Mean similarity coefficient (SC) reached 94% with a 2-mm threshold.

Conclusions:

  • A parametric standard model is a feasible approach for generating custom ear implants.
  • This method facilitates the creation of patient-specific implants based on existing ear images.
  • The developed model aids in achieving better aesthetic and functional outcomes in ear reconstruction.