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Related Experiment Video

Updated: Sep 24, 2025

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation
10:23

Technical Approach for Infrared Tracking for Soft Tissue Navigation with a Holographic Head-Mounted Display and Preclinical Validation

Published on: September 2, 2025

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Augmented reality navigation for minimally invasive craniosynostosis surgery: a phantom study.

Abdullah Thabit1,2, Mohamed Benmahdjoub3,4, Marie-Lise C van Veelen5

  • 1Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands. a.thabit@erasmusmc.nl.

International Journal of Computer Assisted Radiology and Surgery
|May 4, 2022
PubMed
Summary

This study developed an augmented reality (AR) system to visualize cranial sutures for minimally invasive craniectomy. The AR system demonstrated good accuracy and usability, offering a potential improvement over manual palpation for surgical planning.

Keywords:
Augmented realityCranial suturesCraniectomyCraniosynostosisImage guidanceSurgical navigation

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Computer-Aided Surgery

Background:

  • Minimally invasive spring-assisted craniectomy relies on manual identification of cranial sutures, which is error-prone.
  • Augmented reality (AR) offers potential for improved visualization and surgical planning.

Purpose of the Study:

  • To develop an AR system for visualizing cranial sutures.
  • To assess the accuracy and usability of AR-based navigation for surgical guidance in minimally invasive craniectomy.

Main Methods:

  • An AR system using electromagnetic tracking and Microsoft HoloLens was developed.
  • A study with two skull phantoms and twelve participants was conducted.
  • Sutures were visualized, delineated by participants, and compared to CT-annotated sutures using an optical tracking system.

Main Results:

  • The average accuracy of delineated sutures was 2.4 mm.
  • The average time to delineate a suture was [Formula: see text] seconds.
  • The system usability scale (SUS) score averaged 73.

Conclusions:

  • The developed AR system shows good accuracy for visualizing cranial sutures.
  • The system can aid in pre-operative planning for minimally invasive craniosynostosis surgeries.
  • Further clinical validation is required, though the phantom study reflects the OR setup.