A virtual training system for maxillofacial surgery using advanced haptic feedback and immersive workbench

Background: VR-based surgery simulation provides a cost-effective and efficient method to train novices. In this study, a virtual training system for maxillofacial surgery (VR-MFS), which aims mainly at the simulation of operations on mandible and maxilla, was developed and demonstrated. Methods: The virtual models of the anatomic structures were reconstructed from CT data, and the virtual instruments were built from laser scanning data using reverse engineering technology. For collision detection, axis aligned bounding boxes (AABBs) were constructed for the anatomic models. Then, the simulation algorithms were developed, and the haptic force feedback was consequently calculated based on regression equations. Finally, the vivid 3D stereo effect was implemented with the use of an immersive workbench. Results: A virtual training system for maxillofacial surgery was developed; in particular, the application for Le-Fort I osteotomy was implemented. The tactile, visual and aural effects were highly integrated, making the virtual surgical environment vivid and realistic. Conclusions: The VR-MFS provides an effective approach in terms of helping novices to become familiar with maxillofacial surgery procedures. The same method can also be applied to other bone simulations.