Haptic feedback for the GPU-based surgical simulator.
Identifieur interne : 001849 ( PubMed/Curation ); précédent : 001848; suivant : 001850Haptic feedback for the GPU-based surgical simulator.
Auteurs : Thomas Sangild S Rensen [Danemark] ; Jesper MosegaardSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2006.
Descripteurs français
- Wicri :
- geographic : Danemark.
English descriptors
- KwdEn :
- MESH :
- geographic : Denmark.
- surgery : Heart Defects, Congenital.
- Computer Graphics, Feedback, Humans, Surgical Procedures, Operative, Touch, User-Computer Interface.
Abstract
The GPU has proven to be a powerful processor to compute spring-mass based surgical simulations. It has not previously been shown however, how to effectively implement haptic interaction with a simulation running entirely on the GPU. This paper describes a method to calculate haptic feedback with limited performance cost. It allows easy balancing of the GPU workload between calculations of simulation, visualisation, and the haptic feedback.
PubMed: 16404113
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pubmed:16404113Le document en format XML
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<author><name sortKey="Mosegaard, Jesper" sort="Mosegaard, Jesper" uniqKey="Mosegaard J" first="Jesper" last="Mosegaard">Jesper Mosegaard</name>
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<term>Humans</term>
<term>Surgical Procedures, Operative</term>
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<front><div type="abstract" xml:lang="en">The GPU has proven to be a powerful processor to compute spring-mass based surgical simulations. It has not previously been shown however, how to effectively implement haptic interaction with a simulation running entirely on the GPU. This paper describes a method to calculate haptic feedback with limited performance cost. It allows easy balancing of the GPU workload between calculations of simulation, visualisation, and the haptic feedback.</div>
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<Abstract><AbstractText>The GPU has proven to be a powerful processor to compute spring-mass based surgical simulations. It has not previously been shown however, how to effectively implement haptic interaction with a simulation running entirely on the GPU. This paper describes a method to calculate haptic feedback with limited performance cost. It allows easy balancing of the GPU workload between calculations of simulation, visualisation, and the haptic feedback.</AbstractText>
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