Keyword search (4,164 papers available)

"augmented reality" Keyword-tagged Publications:

Title Authors PubMed ID
1 From tissue to sound: A new paradigm for medical sonic interaction design Matinfar S; Dehghani S; Salehi M; Sommersperger M; Navab N; Faridpooya K; Fairhurst M; Navab N; 40222195
CONCORDIA
2 iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings Asadi Z; Castillo JP; Asadi M; Sinclair DS; Kersten-Oertel M; 39816703
ENCS
3 A usability analysis of augmented reality and haptics for surgical planning Kazemipour N; Hooshiar A; Kersten-Oertel M; 38942947
ENCS
4 Virtual and Augmented Reality in Ventriculostomy: A Systematic Review Alizadeh M; Xiao Y; Kersten-Oertel M; 38823448
ENCS
5 A decade of progress: bringing mixed reality image-guided surgery systems in the operating room Asadi Z; Asadi M; Kazemipour N; Léger É; Kersten-Oertel M; 38794834
ENCS
6 Breamy: An augmented reality mHealth prototype for surgical decision-making in breast cancer Najafi N; Addie M; Meterissian S; Kersten-Oertel M; 38638506
ENCS
7 MARIN: an open-source mobile augmented reality interactive neuronavigation system. Léger É; Reyes J; Drouin S; Popa T; Hall JA; Collins DL; Kersten-Oertel M; 32323206
PERFORM
8 Augmented reality mastectomy surgical planning prototype using the HoloLens template for healthcare technology letters. Amini S, Kersten-Oertel M 32038868
PERFORM
9 Quantifying attention shifts in augmented reality image-guided neurosurgery. Léger É, Drouin S, Collins DL, Popa T, Kersten-Oertel M 29184663
PERFORM
10 Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases. Gerard IJ, Kersten-Oertel M, Drouin S, Hall JA, Petrecca K, De Nigris D, Di Giovanni DA, Arbel T, Collins DL 29392162
PERFORM
11 Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system. Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M 30800320
PERFORM

 

Title:Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system.
Authors:Léger ÉReyes JDrouin SCollins DLPopa TKersten-Oertel M
Link:https://www.ncbi.nlm.nih.gov/pubmed/30800320?dopt=Abstract
DOI:10.1049/htl.2018.5063
Publication:Healthcare technology letters
Keywords:GPS-like guidanceaugmented realityaugmented reality neuronavigation systemsbiomedical MRIbrainbrainshiftcomputerised tomographygesture-based methodgesture-based registration correctionimage distortionimage registrationmanual registration correctionmedian registration RMS errormedical image processingmobile augmented reality image-guided neurosurgery systemmobile computingneurophysiologyobject trackingpatient-to-image alignment accuracypreoperative imagessize 3 51 mmsurgeonsurgerysurgical proceduresurgical toolssurgical workflowtablet touchscreen capabilitytracking errors
PMID:30800320 Category:Healthc Technol Lett Date Added:2019-04-15
Dept Affiliation: PERFORM
1 Department of Computer Science and Software Engineering, Concordia University, Montréal, Canada.
2 Department of Biomedical Engineering, McGill University, Montréal, Canada.
3 PERFORM Centre, Concordia University, Montréal, Canada.

Description:

Gesture-based registration correction using a mobile augmented reality image-guided neurosurgery system.

Healthc Technol Lett. 2018 Oct;5(5):137-142

Authors: Léger É, Reyes J, Drouin S, Collins DL, Popa T, Kersten-Oertel M

Abstract

In image-guided neurosurgery, a registration between the patient and their pre-operative images and the tracking of surgical tools enables GPS-like guidance to the surgeon. However, factors such as brainshift, image distortion, and registration error cause the patient-to-image alignment accuracy to degrade throughout the surgical procedure no longer providing accurate guidance. The authors present a gesture-based method for manual registration correction to extend the usage of augmented reality (AR) neuronavigation systems. The authors' method, which makes use of the touchscreen capabilities of a tablet on which the AR navigation view is presented, enables surgeons to compensate for the effects of brainshift, misregistration, or tracking errors. They tested their system in a laboratory user study with ten subjects and found that they were able to achieve a median registration RMS error of 3.51 mm on landmarks around the craniotomy of interest. This is comparable to the level of accuracy attainable with previously proposed methods and currently available commercial systems while being simpler and quicker to use. The method could enable surgeons to quickly and easily compensate for most of the observed shift. Further advantages of their method include its ease of use, its small impact on the surgical workflow and its small-time requirement.

PMID: 30800320 [PubMed]





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