Title
An intersubject variable regional anesthesia simulator with a virtual patient architecture.
Abstract
The main purpose is to provide an intuitive VR-based training environment for regional anesthesia (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.We propose a flexible virtual patient architecture and methods to process datasets. Image acquisition, image processing (especially segmentation), interactive nerve modeling 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 distance.We have created an XML-based virtual patient database with several subjects. Prototypes of the simulation are implemented and run on multimodal VR hardware (e.g., stereoscopic display and haptic device). A first user pilot study has confirmed our approach.The virtual patient architecture enables support for arbitrary scenarios on different subjects. This concept can also be used for other simulators. In future work, we plan to extend the simulation and conduct further evaluations in order to provide a tool for routine training for RA.
Year
DOI
Venue
2009
10.1007/s11548-009-0371-5
Int. J. Computer Assisted Radiology and Surgery
Keywords
Field
DocType
distance. results we have created an xml-based virtual patient database with several subjects. prototypes of the simulation are implemented and run on multimodal vr hardware keywords regional anesthesia · modeling · segmentation · simulation · virtual reality,haptic device,image processing,virtual reality
Computer vision,Architecture,Virtual reality,Research question,Simulation,Computer science,Segmentation,Anesthesia,Virtual patient,Artificial intelligence
Journal
Volume
Issue
ISSN
4
6
1861-6429
Citations 
PageRank 
References 
8
0.82
11
Authors
8
Name
Order
Citations
PageRank
Sebastian Ullrich117518.16
Oliver Grottke2152.74
Eduard Fried382.17
Thorsten Frommen4111.69
Wei Liao5112.36
Rolf Rossaint6278.04
Torsten Kuhlen744469.40
Thomas M Deserno835833.79