Virtual neurosurgery, training for the future.
Identifieur interne : 001612 ( PubMed/Corpus ); précédent : 001611; suivant : 001613Virtual neurosurgery, training for the future.
Auteurs : M. Vloeberghs ; A. Glover ; S. Benford ; A. Jones ; P. Wang ; Adib BeckerSource :
- British journal of neurosurgery [ 0268-8697 ] ; 2007.
English descriptors
- KwdEn :
- Computer Simulation, Computer-Assisted Instruction (instrumentation), Education, Medical, Graduate (methods), Education, Medical, Graduate (organization & administration), Education, Medical, Graduate (trends), Equipment Design, Great Britain, Humans, Image Processing, Computer-Assisted, Neurosurgery (education), Time Management, User-Computer Interface.
- MESH :
- geographic : Great Britain.
- education : Neurosurgery.
- instrumentation : Computer-Assisted Instruction.
- methods : Education, Medical, Graduate.
- organization & administration : Education, Medical, Graduate.
- trends : Education, Medical, Graduate.
- Computer Simulation, Equipment Design, Humans, Image Processing, Computer-Assisted, Time Management, User-Computer Interface.
Abstract
Virtual reality (VR) simulators have been created for various surgical specialties. The common theme is extensive use of graphics, confined spaces, limited functionality and limited tactile feedback. A development team at the University of Nottingham, UK, consisting of computer scientists, mechanical engineers, graphic designers and a neurosurgeon, set out to develop a haptic, e.g. tactile simulator for neurosurgery making use of boundary elements (BE). The relative homogeneity of the brain, allows boundary elements, e.g. 'surface only' rendering, to simulate the brain structure. A boundary element simplifies the computing equations saves computing time, by assuming the properties of the surface equal the properties of the body. A limited audit was done by neurosurgical users confirming the potential of the simulator as a training tool. This paper focuses on the application of the computational method and refers to the underlying mathematical structure. Full references are included regarding the mathematical methodology.
DOI: 10.1080/02688690701245824
PubMed: 17612915
Links to Exploration step
pubmed:17612915Le document en format XML
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<term>Education, Medical, Graduate (organization & administration)</term>
<term>Education, Medical, Graduate (trends)</term>
<term>Equipment Design</term>
<term>Great Britain</term>
<term>Humans</term>
<term>Image Processing, Computer-Assisted</term>
<term>Neurosurgery (education)</term>
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<term>Equipment Design</term>
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<front><div type="abstract" xml:lang="en">Virtual reality (VR) simulators have been created for various surgical specialties. The common theme is extensive use of graphics, confined spaces, limited functionality and limited tactile feedback. A development team at the University of Nottingham, UK, consisting of computer scientists, mechanical engineers, graphic designers and a neurosurgeon, set out to develop a haptic, e.g. tactile simulator for neurosurgery making use of boundary elements (BE). The relative homogeneity of the brain, allows boundary elements, e.g. 'surface only' rendering, to simulate the brain structure. A boundary element simplifies the computing equations saves computing time, by assuming the properties of the surface equal the properties of the body. A limited audit was done by neurosurgical users confirming the potential of the simulator as a training tool. This paper focuses on the application of the computational method and refers to the underlying mathematical structure. Full references are included regarding the mathematical methodology.</div>
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<Abstract><AbstractText>Virtual reality (VR) simulators have been created for various surgical specialties. The common theme is extensive use of graphics, confined spaces, limited functionality and limited tactile feedback. A development team at the University of Nottingham, UK, consisting of computer scientists, mechanical engineers, graphic designers and a neurosurgeon, set out to develop a haptic, e.g. tactile simulator for neurosurgery making use of boundary elements (BE). The relative homogeneity of the brain, allows boundary elements, e.g. 'surface only' rendering, to simulate the brain structure. A boundary element simplifies the computing equations saves computing time, by assuming the properties of the surface equal the properties of the body. A limited audit was done by neurosurgical users confirming the potential of the simulator as a training tool. This paper focuses on the application of the computational method and refers to the underlying mathematical structure. Full references are included regarding the mathematical methodology.</AbstractText>
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