Using CAVE technology for educating and training residents

Abstract

Problem: Three-dimensional models are quite common now, but are still restricted to a 2-dimensional view by a screen or beamer. We use CAVE technology for education of complex anatomical findings and for surgical simulation. Methods: We create models by segmentation of datasets using the “3D-Slicer.” For the small structures in the temporal bone we used an experimental cone-beam Volume CT prototype that offers 160 micron isotropic resolutions. The CAVE is a Virtual Reality Center (VRC) which allows real-time visualization of interactive, complex graphical data in a walkable room. The graphical visualization is achieved by rear-panel beamers on 3 walls and a projection surface on the floor. Multiple users can interact in this virtual surrounding with different types of graphical data by rotating, zooming, or performing any programmable function. Results: Teaching pathologic findings or surgical planning in challenging cases are the most common fields of application. We use this technology for students’ and residents’ learning difficult anatomic findings. By simulating different pathways we can experience the changes of the anatomy or pathology, which is presented in its variations to the surgeons’ view. Conclusion: Using CAVE technology for medical imaging is the next step of 3D visualization. Most advantages are in the field of education because of the possibility for several dozen individuals to see 3D models simultaneously and to interact with real patients’ data (in other words, allowing a “hands-on effect”). Significance: By using virtual reality we presume to optimize the learning curve of students and especially residents, who are in the first training stages of acquiring the skill of surgery. Another possibility of training surgeons is to simulate the surgeons’ view through a microscope, which is harder because of the loss of landmarks. Walking around the model helps to train the “mental eye” and improves the surgical skills of young surgeons. Support: None reported.