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A Neuronavigation System Using a Mobile Augmented Reality Solution.

Antonio Guilherme C de Almeida1, Bruno Fernandes de Oliveira Santos2, Joselina L M Oliveira3

  • 1Department of Medicine, Federal University of Sergipe, Aracaju, Sergipe, Brazil.

World Neurosurgery
|September 11, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a mobile-based augmented reality neuronavigation system for image-guided surgery. The low-cost, portable solution achieved a mean target error of 2.6 ± 1.6 mm in preclinical tests.

Keywords:
Augmented realityCraniotomy planningImage-guided neurosurgeryMobile application

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Area of Science:

  • Neurosurgery
  • Medical Technology
  • Augmented Reality

Background:

  • Image-guided surgery enhances neurosurgical planning and navigation accuracy.
  • Current neuronavigation systems offer millimetric accuracy but are costly and complex.
  • High costs and complex setups limit the accessibility of advanced neuronavigation in low-resource settings.

Purpose of the Study:

  • To develop and evaluate a mobile-based augmented reality neuronavigation solution.
  • To assess the system's performance under various preclinical conditions.
  • To provide a low-cost, portable alternative for image-guided neurosurgery.

Main Methods:

  • Developed a mobile application using the Swift programming language.
  • Tested the system on a human scalp replica under variable lighting and registration point conditions.
  • Measured mean registration and target errors over 10 iterations per condition.

Main Results:

  • The mobile AR neuronavigation system demonstrated a mean target error of 2.6 ± 1.6 mm in optimal conditions.
  • Performance was evaluated across different lighting and registration point configurations.

Conclusions:

  • The developed mobile AR system offers a viable, low-cost, and portable solution for scalp surface point localization.
  • Achieved accuracy of 2.6 ± 1.6 mm in the best-case scenario.
  • Presents a practical alternative for image-guided neurosurgery, particularly in resource-limited environments.