Graphic Processing Units (GPUs)-Based Haptic Simulator for Dental Implant Surgery
Identifieur interne : 001F39 ( Main/Curation ); précédent : 001F38; suivant : 001F40Graphic Processing Units (GPUs)-Based Haptic Simulator for Dental Implant Surgery
Auteurs : FEI ZHENG [Singapour] ; WEN FENG LU [Singapour] ; YOKE SAN WONG [Singapour] ; KELVIN WENG CHIONG FOONG [Singapour]Source :
- Journal of computing and information science in engineering [ 1530-9827 ] ; 2013.
Descripteurs français
- Pascal (Inist)
- Carte graphique, Simulateur, Dentisterie, Usinage, Contrainte contact, Contact mécanique, Projection plasma, Foret (outil), Temps réel, Prothèse, Insertion, Image tridimensionnelle, Sensibilité tactile, Forage, Système temps réel, Implant, Tissu, Modèle sphérique, Efficacité, Modélisation, Anatomie, Cône, Algorithme parallèle, Traitement parallèle, Calcul parallèle, Analyse structurale, Voxel, ., Tomographie numérique.
- Wicri :
English descriptors
- KwdEn :
- Anatomy, Computerized tomography, Cone, Contact stress, Dentistry, Drill, Drilling, Efficiency, Graphic processing unit, Implant, Insertion, Machining, Mechanical contact, Modeling, Parallel algorithm, Parallel computation, Parallel processing, Plasma spraying, Prosthesis, Real time, Real time system, Simulator, Spherical model, Structural analysis, Tactile sensitivity, Tissue, Tridimensional image, Voxel.
Abstract
This paper presents a haptics-based training simulator for dental implant surgery. Most of the previously developed dental simulators are targeted for exploring and drilling purpose only. The penalty-based contact force models with spherical-shaped dental tools are often adopted for simplicity and computational efficiency. In contrast, our simulator is equipped with a more precise force model adapted from the Voxmap-PointShell (VPS) method to capture the essential features of the drilling procedure, with no limitations on drill shape. In addition, a real-time torque model is proposed to simulate the torque resistance in the implant insertion procedure, based on patient-specific tissue properties and implant geometry. To achieve better anatomical accuracy, our oral model is reconstructed from cone beam computed tomography (CBCT) images with a voxel-based method. To enhance the real-time response, the parallel computing power of GPUs is exploited through extra efforts in data structure design, algorithms parallelization, and graphic memory utilization. Results show that the developed system can produce appropriate force feedback at different tissue layers during pilot drilling and can create proper resistance torque responses during implant insertion.
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Pascal:14-0082568Le document en format XML
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<term>Efficiency</term>
<term>Graphic processing unit</term>
<term>Implant</term>
<term>Insertion</term>
<term>Machining</term>
<term>Mechanical contact</term>
<term>Modeling</term>
<term>Parallel algorithm</term>
<term>Parallel computation</term>
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<term>Real time</term>
<term>Real time system</term>
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<term>Sensibilité tactile</term>
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<term>Système temps réel</term>
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<term>.</term>
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<front><div type="abstract" xml:lang="en">This paper presents a haptics-based training simulator for dental implant surgery. Most of the previously developed dental simulators are targeted for exploring and drilling purpose only. The penalty-based contact force models with spherical-shaped dental tools are often adopted for simplicity and computational efficiency. In contrast, our simulator is equipped with a more precise force model adapted from the Voxmap-PointShell (VPS) method to capture the essential features of the drilling procedure, with no limitations on drill shape. In addition, a real-time torque model is proposed to simulate the torque resistance in the implant insertion procedure, based on patient-specific tissue properties and implant geometry. To achieve better anatomical accuracy, our oral model is reconstructed from cone beam computed tomography (CBCT) images with a voxel-based method. To enhance the real-time response, the parallel computing power of GPUs is exploited through extra efforts in data structure design, algorithms parallelization, and graphic memory utilization. Results show that the developed system can produce appropriate force feedback at different tissue layers during pilot drilling and can create proper resistance torque responses during implant insertion.</div>
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