Virtual Functional Endoscopic Sinus Surgery Simulation with 3D-Printed Models for Mixed-Reality Nasal Endoscopy
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VR-FESS-accepted-submission.pdf
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Final Accepted Manuscript
Affiliation
Univ Arizona, Coll Med, Dept Otolaryngol Head & Neck SurgUniv Arizona, Dept Syst & Ind Engn
Issue Date
2018-11
Metadata
Show full item recordPublisher
SAGE PUBLICATIONS LTDCitation
Barber, S. R., Jain, S., Son, Y.-J., & Chang, E. H. (2018). Virtual Functional Endoscopic Sinus Surgery Simulation with 3D-Printed Models for Mixed-Reality Nasal Endoscopy. Otolaryngology–Head and Neck Surgery, 159(5), 933–937. https://doi.org/10.1177/0194599818797586Rights
© American Academy of Otolaryngology–Head and Neck Surgery Foundation 2018.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
The surgeon's knowledge of a patient's individual anatomy is critical in skull base surgery. Trainees and experienced surgeons can benefit from surgical simulation; however, current models are expensive and impractical for widespread use. In this study, we report a next-generation mixed-reality surgical simulator. We segmented critical anatomic structures for 3-dimensional (3D) models to develop a modular teaching tool. We then developed a navigation tracking system utilizing a 3D-printed endoscope as a trackable virtual-reality (VR) controller and validated the accuracy on VR and 3D-printed skull models within 1 cm. We combined VR and augmented-reality visual cues with our 3D physical model to simulate sinus endoscopy and highlight segmented structures in real time. This report provides evidence that a mixed-reality simulator combining VR and 3D-printed models is feasible and may prove useful as an educational tool that is low cost and customizable.ISSN
0194-59981097-6817
PubMed ID
30200812Version
Final accepted manuscriptAdditional Links
http://journals.sagepub.com/doi/10.1177/0194599818797586ae974a485f413a2113503eed53cd6c53
10.1177/0194599818797586