Virtual Reality System for Invasive Therapy
Ruoyan Kong, Ruobing Wang, Zitao Shen · 2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · 2021
In invasive therapies such as invasive ventilation and deep brain stimulation, doctors face the challenge of planning, performing, and learning complex surgical procedures. VR systems were built to help doctors plan surgeries. However, the previous VR designs focused on navigation and visualization but not risk estimation. In this paper, we introduced a novel VR system for invasive treatment. Our approach supports 1) 3D navigation of anatomical models by a bi-manual miniature-world design; 2) simulation of probe trajectory and calculation of the corresponding risks; 3) visualization of different layers; 4) visualization of cross-sectional cutting by a plane. These functions allow doctors to easily manipulate the anatomical model and plan probe trajectory based on the estimation of risks.