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Related Concept Videos

Anatomy of the Ear01:16

Anatomy of the Ear

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: Jul 16, 2026

In Vivo Morphometric Analysis of Human Cranial Nerves Using Magnetic Resonance Imaging in Menière's Disease Ears and Normal Hearing Ears
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A three-dimensional algorithm for precise measurement of human auricle parameters.

Yangyang Lin1,2, Johannes G G Dobbe3,4, Nadia Lachkar1

  • 1Department of Plastic, Reconstructive and Hand Surgery, Amsterdam UMC Location University of Amsterdam, Amsterdam, The Netherlands.

Scientific Reports
|May 10, 2024
PubMed
Summary

A new automated 3D measurement method significantly improves auricle parameter precision over manual techniques. This advancement aids in planning and evaluating plastic surgery, particularly for auricle reconstruction.

Keywords:
3D Image analysisAuricle parametersCT-imagingObjective measurementPrecision

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Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Plastic Surgery

Background:

  • Measuring human auricle parameters is complex due to its intricate 3D structure.
  • Traditional manual measurement methods lack precision for clinical applications like plastic surgery.

Purpose of the Study:

  • To introduce and evaluate a novel automated surface-based 3D measurement method for auricle parameters.
  • To compare the precision of this automated method against traditional manual techniques.

Main Methods:

  • Virtual auricles were reconstructed from Computed Tomography (CT) scans.
  • An automated surface-based 3D measurement algorithm was developed and applied.
  • Measurements were compared to manual caliper and 3D landmarking methods.

Main Results:

  • The automated method demonstrated significantly higher precision than manual measurements.
  • Precision improvements ranged from 5x for width to 54x for Auriculocephalic Angle.
  • Scanner quality influenced precision, with high-end scanners yielding better results.

Conclusions:

  • Automated surface-based 3D measurement offers superior precision for auricle parameters.
  • This method has potential applications in auricle reconstruction and plastic surgery.
  • Further research can leverage this technique for enhanced clinical outcomes.