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Toward an Interactive, Patient-specific, VR-based Obstetrics Simulator

Authors:
Michel Audette
Marco Parente
Dulce Oliveira
Sreekanth Arikatla
Alfred Abuhamad
Rumit Singh Kakar
Mark Scerbo
Lucia Tabacu
John Conery
Christopher MacGowan
Renato Natal Jorge

Keywords: birthing simulation, obstetrics, virtual reality, bimanual haptics

Abstract:
This paper presents a nascent collaborative effort to achieve a Virtual Reality (VR)-based, real-time, haptics-driven patient-specific obstetrics simulator. The high-level architecture and preliminary results are presented here; the latter are based on offline birthing simulation developed by team in conjunction with open-source visualization tools. The cornerstones of this simulator will be high-fidelity generic offline birthing simulation, an anatomy-to-image nonrigid registration pipeline exploiting fetal MRI, the open-source interactive medical simulation toolkit IMSTK augmented by high-throughput deep learning-based soft tissue deformation, open-source musculoskeletal dynamics simulation platform SimTk for representing fetal motion. The initial emphasis will be on shoulder dystocia. The two main advantages of VR simulation over the current state of the art, birthing mannequins, are first that VR simulation enables training on several maneuvers by the obstetrics resident while the mannequin typically supports one maneuver, and second, a VR system flexibly supports patient-specific simulation, which is basically infeasible with a mannequin.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-4537

ISBN: 978-1-61208-898-3

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021