An augmented reality system characterization of placement accuracy in neurosurgery.

Augmented Reality Humans Imaging, Three-Dimensional Magnetic Resonance Imaging Neurosurgery / methods Neurosurgical Procedures Surgery, Computer-Assisted / instrumentation
Augmented reality Microsoft HoloLens Neurosurgical navigation Placement accuracy

Journal

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
ISSN: 1532-2653
Titre abrégé: J Clin Neurosci
Pays: Scotland
ID NLM: 9433352

Informations de publication

Date de publication:
Feb 2020
Historique:
received: 09 09 2019
accepted: 02 12 2019
pubmed: 2 1 2020
medline: 21 7 2020
entrez: 2 1 2020
Statut: ppublish

Résumé

Computer assisted navigation (CAN) is a technology which has been available for commercial use in operating rooms for quite some time now. CAN relies on the information presented in patient imaging (usually CT or MRI images) and the surgical site. The method for registration between these two sets of data is crucial for safe image guided navigation during surgery. Although the existing technologies are extremely accurate, they still pose problems in the operating. Motivation for this study is to explore the possibility of using augmented reality (AR) to improve ease of use for surgical navigation and provide a system which complements the existing operating room workflow. As with all commercially available surgical navigation systems, registration accuracy is of utmost important to maintain patient safety. In this paper, we propose a novel method to quantify registration accuracy for augmented reality (AR) devices in neurosurgery.

Identifiants

DOI: 10.1016/j.jocn.2019.12.014 PMID: 31892493
pubmed: 31892493
pii: S0967-5868(19)31781-3
doi: 10.1016/j.jocn.2019.12.014
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

392-396

Informations de copyright

Crown Copyright © 2019. Published by Elsevier Ltd. All rights reserved.

Auteurs

Nhu Q Nguyen (NQ)

Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada.

Jillian Cardinell (J)

Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada.

Joel M Ramjist (JM)

Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada.

Philips Lai (P)

Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada.

Yuta Dobashi (Y)

Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada; Institute of Medical Sciences, University of Toronto, Toronto, ON M5S, Canada.

Daipayan Guha (D)

Division of Neurosurgery, University of Toronto, ON M5S, Canada.

Dimitrios Androutsos (D)

Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada.

Victor X D Yang (VXD)

Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada; Institute of Medical Sciences, University of Toronto, Toronto, ON M5S, Canada; Division of Neurosurgery, University of Toronto, ON M5S, Canada. Electronic address: victor.yang@utoronto.ca.

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Classifications MeSH

questionsmedicales.fr › Sciences de l'information › Affichage de données › Réalité augmentée › An augmented reality system characterization...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › An augmented reality system characterization...
questionsmedicales.fr › Sciences de l'information › Méthodologies informatiques › Traitement d'image par ordinateur › Imagerie tridimensionnelle › An augmented reality system characterization...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › An augmented reality system characterization...
questionsmedicales.fr › Professions de santé › Médecine › Spécialités chirurgicales › Neurochirurgie › An augmented reality system characterization...
questionsmedicales.fr › Procédures de chirurgie opératoire › Procédures de neurochirurgie › An augmented reality system characterization...
questionsmedicales.fr › Procédures de chirurgie opératoire › Chirurgie assistée par ordinateur › An augmented reality system characterization...