Document Detail

Mixed-reality simulation for neurosurgical procedures.
MedLine Citation:
PMID:  24051877     Owner:  NLM     Status:  In-Data-Review    
BACKGROUND: Surgical education is moving rapidly to the use of simulation for technical training of residents and maintenance or upgrading of surgical skills in clinical practice. To optimize the learning exercise, it is essential that both visual and haptic cues are presented to best present a real-world experience. Many systems attempt to achieve this goal through a total virtual interface.
OBJECTIVE: To demonstrate that the most critical aspect in optimizing a simulation experience is to provide the visual and haptic cues, allowing the training to fully mimic the real-world environment.
METHODS: Our approach has been to create a mixed-reality system consisting of a physical and a virtual component. A physical model of the head or spine is created with a 3-dimensional printer using deidentified patient data. The model is linked to a virtual radiographic system or an image guidance platform. A variety of surgical challenges can be presented in which the trainee must use the same anatomic and radiographic references required during actual surgical procedures.
RESULTS: Using the aforementioned techniques, we have created simulators for ventriculostomy, percutaneous stereotactic lesion procedure for trigeminal neuralgia, and spinal instrumentation. The design and implementation of these platforms are presented.
CONCLUSION: The system has provided the residents an opportunity to understand and appreciate the complex 3-dimensional anatomy of the 3 neurosurgical procedures simulated. The systems have also provided an opportunity to break procedures down into critical segments, allowing the user to concentrate on specific areas of deficiency.
ABBREVIATIONS: IGW, image-guided workstationRFL, radiofrequency lesion.
Frank J Bova; Didier A Rajon; William A Friedman; Gregory J Murad; Daniel J Hoh; R Patrick Jacob; Samsun Lampotang; David E Lizdas; Gwen Lombard; J Richard Lister
Related Documents :
24436227 - Reducing contrast contamination in radial turbo-spin-echo acquisitions by combining a n...
23312587 - Improved photo response non-uniformity (prnu) based source camera identification.
24386547 - Immersive virtual reality for visualization of abdominal ct.
23163777 - Visual narrative structure.
18195577 - The value of pleural fluid analysis.
16512537 - Direct extraction of the mean particle size from a digital hologram.
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Neurosurgery     Volume:  73 Suppl 1     ISSN:  1524-4040     ISO Abbreviation:  Neurosurgery     Publication Date:  2013 Oct 
Date Detail:
Created Date:  2013-09-20     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7802914     Medline TA:  Neurosurgery     Country:  United States    
Other Details:
Languages:  eng     Pagination:  S138-45     Citation Subset:  IM    
*Department of Neurosurgery and ‡Department of Anesthesiology, University of Florida, Gainesville, Florida.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

Previous Document:  Evolving virtual reality simulation in neurosurgery.
Next Document:  Model-based simulation for early neurosurgical learners.