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AR in VR: assessing surgical augmented reality visualizations in a steerable virtual reality environment
Julian Hettig1, Sandy Engelhardt2,3, Christian Hansen1
1Faculty of Computer Science & Research Campus STIMULATE, University of Magdeburg, Magdeburg, Germany.
Augmented reality (AR) visualizations can lead surgeons to make incorrect decisions with high confidence. A new virtual reality (VR) framework, the Augmented Visualization Box (AVB), allows for standardized evaluation of AR surgical visualization techniques.
Area of Science:
- Medical technology
- Surgical innovation
- Human-computer interaction
Background:
- Augmented reality (AR) shows promise for surgical support but faces limited real-world application.
- Standardized evaluation of AR surgical visualizations is lacking, hindering development.
- A flexible framework is needed to assess AR visualization techniques and scenarios.
Purpose of the Study:
- To introduce an interactive virtual reality (VR) framework, the Augmented Visualization Box (AVB), for systematically evaluating AR surgical visualizations.
- To enable rapid assessment of AR visualization techniques and parameter spaces without complex registration.
- To quantitatively benchmark AR overlay methods in simulated intraoperative scenarios.
Main Methods:
- Developed the Augmented Visualization Box (AVB) using a VR approach to simulate complex environments.
- Created a virtual laparoscopic scenario with anatomical models in a game engine.
- Conducted a study with eleven surgeons to assess VR environment factors and AR overlay concepts.
Main Results:
- Surgeons found 2D surface details and lighting conditions most impactful on VR scene perception.
- Depending on the AR visualization's depth encoding, 37% to 91% of surgeons made incorrect decisions but were confident in their accuracy.
- Surgeons exhibited increased confidence in their decisions when using AR visualizations, even when those decisions were wrong.
Conclusions:
- The AVB framework realistically simulates intraoperative situations for quantitative benchmarking of AR overlay methods.
- Effective surgical task execution with AR systems necessitates visualizations tailored to specific surgical tasks.
- Customizing AR visualizations is crucial for enhancing surgical performance and safety.
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