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Technology Report

Easy-to-Use Augmented Reality Neuronavigation Using a Wireless Tablet PC

Deng W.a, b · Li F.a, b · Wang M.a, b · Song Z.a, b

Author affiliations

aDigital Medical Research Center, Shanghai Medical School, Fudan University, and bShanghai Key Laboratory of Medical Imaging Computing and Computer-Assisted Intervention, Shanghai, PR China

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Stereotact Funct Neurosurg 2014;92:17-24

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Article / Publication Details

First-Page Preview
Abstract of Technology Report

Received: September 15, 2012
Accepted: August 06, 2013
Published online: November 08, 2013
Issue release date: January 2014

Number of Print Pages: 8
Number of Figures: 5
Number of Tables: 0

ISSN: 1011-6125 (Print)
eISSN: 1423-0372 (Online)

For additional information: https://www.karger.com/SFN

Abstract

Background/Aims: Augmented reality (AR) technology solves the problem of view switching in traditional image-guided neurosurgery systems by integrating computer-generated objects into the actual scene. However, the state-of-the-art AR solution using head-mounted displays has not been widely accepted in clinical applications because it causes some inconvenience for the surgeon during surgery. Methods: In this paper, we present a Tablet-AR system that transmits navigation information to a movable tablet PC via a wireless local area network and overlays this information on the tablet screen, which simultaneously displays the actual scene captured by its back-facing camera. With this system, the surgeon can directly observe the intracranial anatomical structure of the patient with the overlaid virtual projection images to guide the surgery. Results: The alignment errors in the skull specimen study and clinical experiment were 4.6 pixels (approx. 1.6 mm) and 6 pixels (approx. 2.1 mm), respectively. The system was also used for navigation in 2 actual clinical cases of neurosurgery, which demonstrated its feasibility in a clinical application. Conclusions: The easy-to-use Tablet-AR system presented in this study is accurate and feasible in clinical applications and has the potential to become a routine device in AR neuronavigation.

© 2013 S. Karger AG, Basel


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Article / Publication Details

First-Page Preview
Abstract of Technology Report

Received: September 15, 2012
Accepted: August 06, 2013
Published online: November 08, 2013
Issue release date: January 2014

Number of Print Pages: 8
Number of Figures: 5
Number of Tables: 0

ISSN: 1011-6125 (Print)
eISSN: 1423-0372 (Online)

For additional information: https://www.karger.com/SFN


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