Efficient modelling of soft tissue using particle systems.
Identifieur interne : 001671 ( PubMed/Corpus ); précédent : 001670; suivant : 001672Efficient modelling of soft tissue using particle systems.
Auteurs : Oliver Buckley ; Nigel W. JohnSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2007.
English descriptors
- KwdEn :
- MESH :
- geographic : Wales.
- physiology : Connective Tissue.
- Computer Simulation, Education, Medical, Humans, Models, Anatomic.
Abstract
The ever improving price-performance ratio of personal computers is making a significant contribution to widening the accessibility of training simulators for a wide variety of medical procedures. High fidelity solutions are becoming more and more sought after. However, the problem of providing realistic soft tissue deformation in real time remains, particularly if haptic interaction is also required. This paper presents a new approach for efficient soft tissue deformation using particle systems to model both structure and haptic properties of anatomy. We are applying this technique to a simulator for interventional radiology procedures, but it can easily be adapted for other medical domains.
PubMed: 17377233
Links to Exploration step
pubmed:17377233Le document en format XML
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<affiliation><nlm:affiliation>University of Wales Bangor, UK.</nlm:affiliation>
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<author><name sortKey="John, Nigel W" sort="John, Nigel W" uniqKey="John N" first="Nigel W" last="John">Nigel W. John</name>
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<front><div type="abstract" xml:lang="en">The ever improving price-performance ratio of personal computers is making a significant contribution to widening the accessibility of training simulators for a wide variety of medical procedures. High fidelity solutions are becoming more and more sought after. However, the problem of providing realistic soft tissue deformation in real time remains, particularly if haptic interaction is also required. This paper presents a new approach for efficient soft tissue deformation using particle systems to model both structure and haptic properties of anatomy. We are applying this technique to a simulator for interventional radiology procedures, but it can easily be adapted for other medical domains.</div>
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<Title>Studies in health technology and informatics</Title>
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<Abstract><AbstractText>The ever improving price-performance ratio of personal computers is making a significant contribution to widening the accessibility of training simulators for a wide variety of medical procedures. High fidelity solutions are becoming more and more sought after. However, the problem of providing realistic soft tissue deformation in real time remains, particularly if haptic interaction is also required. This paper presents a new approach for efficient soft tissue deformation using particle systems to model both structure and haptic properties of anatomy. We are applying this technique to a simulator for interventional radiology procedures, but it can easily be adapted for other medical domains.</AbstractText>
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