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Proceedings Paper

Augmented reality assistance in training needle insertions of different levels of difficulty
Author(s): Caitlin T. Yeo; Tamas Ungi; Regina Leung; Eric Moult; Derek Sargent; Robert McGraw; Gabor Fichtinger
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Paper Abstract

PURPOSE: Virtual reality and simulation training improve skill acquisition by allowing trainees the opportunity to deliberately practice procedures in a safe environment. The purpose of this study was to find if there was a difference in the amount of improvement the Perk Tutor, an augmented reality training tool, provided depending on the complexity of the procedure. METHODS: We conducted two sets of spinal procedure experiments with different levels of complexity with regards to instrument handling and mental reconstruction – the lumbar puncture and the facet joint injection. In both experiments subjects were randomized into two groups, Control or Perk Tutor. They were guided through a tutorial, given practice attempts with or without Perk Tutor, followed by testing without Perk Tutor augmentation. RESULTS: The Perk Tutor significantly improved trainee outcomes in the facet joint experiment, while the Perk Tutor and the control group performed comparably in the lumbar puncture experiment. CONCLUSION: Perk Tutor and other augmented training systems may be more beneficial for more complex skills that require mental reconstruction of 2-dimensional images or non-palpable anatomy.

Paper Details

Date Published: 13 March 2018
PDF: 6 pages
Proc. SPIE 10576, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, 1057614 (13 March 2018); doi: 10.1117/12.2293575
Show Author Affiliations
Caitlin T. Yeo, Queen's Univ. (Canada)
Tamas Ungi, Queen's Univ. (Canada)
Regina Leung, Queen's Univ. (Canada)
Eric Moult, Queen's Univ. (Canada)
Derek Sargent, Queen's Univ. (Canada)
Robert McGraw, Queen's Univ. (Canada)
Gabor Fichtinger, Queen's Univ. (Canada)

Published in SPIE Proceedings Vol. 10576:
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
Baowei Fei; Robert J. Webster III, Editor(s)

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