Purpose The main purpose is to provide an intuitive VRbasedtrainingenvironmentforregionalanesthesia(RA).The research question is how to process subject-specific datasets, organize them in a meaningful way and how to perform the simulation for peripheral regions. Methods We propose a flexible virtual patient architecture and methods to process datasets. Image acquisition, image processing(especiallysegmentation),interactivenervemodeling and permutations (nerve instantiation) are described in detail. The simulation of electric impulse stimulation and according responses are essential for the training of peripheral RA and solved by an approach based on the electric
['Sebastian Ullrich', 'Oliver Grottke', 'Eduard Fried', 'Thorsten Frommen', 'Wei Liao', 'Rolf Rossaint', 'Torsten Kuhlen', 'Thomas Martin Deserno']
An intersubject variable regional anesthesia simulator with a virtual patient architecture