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DOI 10.1007/s11548-017-1686-2

Медицинская библиотека · International journal of computer assisted radiology and surgery · 2017

Highly immersive virtual reality laparoscopy simulation: development and future aspects.

Huber Tobias, Wunderling Tom, Paschold Markus, Lang Hauke, Kneist Werner, Hansen Christian

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Аннотация

PURPOSE: Virtual reality (VR) applications with head-mounted displays (HMDs) have had an impact on information and multimedia technologies. The current work aimed to describe the process of developing a highly immersive VR simulation for laparoscopic surgery.

METHODS

We combined a VR laparoscopy simulator (LapSim) and a VR-HMD to create a user-friendly VR simulation scenario. Continuous clinical feedback was an essential aspect of the development process. We created an artificial VR (AVR) scenario by integrating the simulator video output with VR game components of figures and equipment in an operating room. We also created a highly immersive VR surrounding (IVR) by integrating the simulator video output with a [Formula: see text] video of a standard laparoscopy scenario in the department's operating room.

RESULTS

Clinical feedback led to optimization of the visualization, synchronization, and resolution of the virtual operating rooms (in both the IVR and the AVR). Preliminary testing results revealed that individuals experienced a high degree of exhilaration and presence, with rare events of motion sickness. The technical performance showed no significant difference compared to that achieved with the standard LapSim.

CONCLUSION

Our results provided a proof of concept for the technical feasibility of an custom highly immersive VR-HMD setup. Future technical research is needed to improve the visualization, immersion, and capability of interacting within the virtual scenario.

Для цитирования: Huber Tobias, Wunderling Tom, Paschold Markus, Lang Hauke, Kneist Werner, Hansen Christian. Highly immersive virtual reality laparoscopy simulation: development and future aspects.. International journal of computer assisted radiology and surgery. 2017. DOI: 10.1007/s11548-017-1686-2.

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