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Related Experiment Video

Updated: Apr 14, 2026

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Monocular Surface Reconstructions in Transcanal Endoscopic Ear Surgery: A Phantom Feasibility Study.

Obinna I Nwosu1, Francis X Creighton2

  • 1Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Boston, MA.

Otology & Neurotology : Official Publication of the American Otological Society, American Neurotology Society [And] European Academy of Otology and Neurotology
|April 13, 2026
PubMed
Summary

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Articles linked to this work by shared authors, journal, and citation graph.

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Same author

Evaluating the Efficacy of a Novel Multimaterial 3D-Printed Phantom for Otologic Surgical Education and Simulation.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology·2026
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Feasibility of Real-Time Automated Vocal Fold Motion Tracking for In-Office Laryngoscopy.

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Automated Prediction of Bone Volume Removed in Mastoidectomy.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery·2025
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Manual and automated facial de-identification techniques for patient imaging with preservation of sinonasal anatomy.

International journal of computer assisted radiology and surgery·2025

Computer vision models can create accurate 3D middle ear reconstructions from single endoscopic images. This technology shows promise for submillimeter accurate surgical navigation in transcanal endoscopic ear surgery.

Area of Science:

  • Medical Imaging
  • Computer Vision
  • Otolaryngology

Background:

  • Accurate 3D visualization of middle ear anatomy is crucial for surgical navigation.
  • Current methods may be limited by invasiveness or complexity.

Purpose of the Study:

  • To assess if a computer vision model can generate 3D surface reconstructions from monocular endoscopic images of the middle ear.
  • To determine if these reconstructions achieve clinically acceptable accuracy for surgical navigation when registered to ground-truth imaging.

Main Methods:

  • Eight 3D-printed temporal bone phantoms were used.
  • Monocular endoscopic images of the middle ear were captured and processed using a surface reconstruction model.
  • Reconstructions were registered to ground-truth meshes, and accuracy was quantified using surface reconstruction error (SRE) and target registration error (TRE).
Keywords:
Computer visionEndoscopic ear surgerySurgical navigationTranscanal

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Main Results:

  • The mean SRE was 0.58 ± 0.10 mm, with 81.6% of points within 1 mm of ground-truth surfaces.
  • The mean TRE was 0.96 ± 0.17 mm, indicating submillimeter registration accuracy.

Conclusions:

  • High-fidelity 3D surface reconstructions of middle ear anatomy can be generated from simple 2D monocular endoscopic images.
  • These reconstructions achieve submillimeter registration accuracy, demonstrating preclinical feasibility for monocular, endoscope-centric navigation in transcanal endoscopic ear surgery.