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The Reconstructive Metaverse – Collaboration in Real-Time Shared Mixed Reality Environments for Microsurgical Reconstruction.

Authors :
Necker, Fabian N.
Cholok, David J.
Shaheen, Mohammed S.
Fischer, Marc J.
Gifford, Kyle
El Chemaly, Trishia
Leuze, Christoph W.
Scholz, Michael
Daniel, Bruce L.
Momeni, Arash
Source :
Surgical Innovation; Oct2024, Vol. 31 Issue 5, p563-566, 4p
Publication Year :
2024

Abstract

Plastic surgeons routinely use 3D-models in their clinical practice, from 3D-photography and surface imaging to 3D-segmentations from radiological scans. However, these models continue to be viewed on flattened 2D screens that do not enable an intuitive understanding of 3D-relationships and cause challenges regarding collaboration with colleagues. The Metaverse has been proposed as a new age of applications building on modern Mixed Reality headset technology that allows remote collaboration on virtual 3D-models in a shared physical-virtual space in real-time. We demonstrate the first use of the Metaverse in the context of reconstructive surgery, focusing on preoperative planning discussions and trainee education. Using a HoloLens headset with the Microsoft Mesh application, we performed planning sessions for 4 DIEP-flaps in our reconstructive metaverse on virtual patient-models segmented from routine CT angiography. In these sessions, surgeons discuss perforator anatomy and perforator selection strategies whilst comprehensively assessing the respective models. We demonstrate the workflow for a one-on-one interaction between an attending surgeon and a trainee in a video featuring both viewpoints as seen through the headset. We believe the Metaverse will provide novel opportunities to use the 3D-models that are already created in everyday plastic surgery practice in a more collaborative, immersive, accessible, and educational manner. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15533506
Volume :
31
Issue :
5
Database :
Complementary Index
Journal :
Surgical Innovation
Publication Type :
Academic Journal
Accession number :
179766345
Full Text :
https://doi.org/10.1177/15533506241262946