About this paper

Appears in:
Pages: 10413-10422
Publication year: 2017
ISBN: 978-84-697-3777-4
ISSN: 2340-1117
doi: 10.21125/edulearn.2017.0974

Conference name: 9th International Conference on Education and New Learning Technologies
Dates: 3-5 July, 2017
Location: Barcelona, Spain

AN AUGMENTED REALITY-BASED PLATFORM FOR USERS’ TRAINING AND PERFORMANCE ASSESSMENT FOR NEUROSURGICAL TARGETING TASKS

H. Ghandorh, S. de Ribaupierre, R. Eagleson

Western University, London (CANADA)
Purpose:
Neurosurgical interventions require preoperative planning and precise navigation and manipulation of medical instruments since the workspace involves healthy brain tissues and eloquent brain structures. Computer-assisted surgery research is gaining more interest in medical disciplines such as neurosurgery. Visualization and rendering of 3D medical volumes to assess patients’ case is a major challenge. In this work, we propose an augmented reality (AR) simulator module when training novice trainees for targeting tasks using the best trajectory, as part of a neurosurgical procedure.

Methods:
The proposed module to augmented reality visualization depends on the integration of new technology (Unity3D, Vuforia SDK) to create AR applications for preoperative neurosurgical planning and training based on fiducial markers. Fourteen novice participants were asked to participate in an experiment to evaluate and demonstrate the module’s validity. Through performing targeting tasks with a variety of targets, participants’ accuracy and time were recorded for an analysis of their performance.

Results:
Participants performance and tasks time were measured. Initial results show an improvement in terms of accuracy and time for the participants targeting tasks with the aid of AR visualization.

Conclusion:
The current module prototype had the potential to help novice trainees maintain planning and perform targeting task skills with objective measures of speed and accuracy..
@InProceedings{GHANDORH2017ANA,
author = {Ghandorh, H. and de Ribaupierre, S. and Eagleson, R.},
title = {AN AUGMENTED REALITY-BASED PLATFORM FOR USERS’ TRAINING AND PERFORMANCE ASSESSMENT FOR NEUROSURGICAL TARGETING TASKS},
series = {9th International Conference on Education and New Learning Technologies},
booktitle = {EDULEARN17 Proceedings},
isbn = {978-84-697-3777-4},
issn = {2340-1117},
doi = {10.21125/edulearn.2017.0974},
url = {http://dx.doi.org/10.21125/edulearn.2017.0974},
publisher = {IATED},
location = {Barcelona, Spain},
month = {3-5 July, 2017},
year = {2017},
pages = {10413-10422}}
TY - CONF
AU - H. Ghandorh AU - S. de Ribaupierre AU - R. Eagleson
TI - AN AUGMENTED REALITY-BASED PLATFORM FOR USERS’ TRAINING AND PERFORMANCE ASSESSMENT FOR NEUROSURGICAL TARGETING TASKS
SN - 978-84-697-3777-4/2340-1117
DO - 10.21125/edulearn.2017.0974
PY - 2017
Y1 - 3-5 July, 2017
CI - Barcelona, Spain
JO - 9th International Conference on Education and New Learning Technologies
JA - EDULEARN17 Proceedings
SP - 10413
EP - 10422
ER -
H. Ghandorh, S. de Ribaupierre, R. Eagleson (2017) AN AUGMENTED REALITY-BASED PLATFORM FOR USERS’ TRAINING AND PERFORMANCE ASSESSMENT FOR NEUROSURGICAL TARGETING TASKS, EDULEARN17 Proceedings, pp. 10413-10422.
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