Titlebook: Biomedical Simulation; 4th International Sy Fernando Bello,P. J. Eddie Edwards Conference proceedings 2008 Springer-Verlag Berlin Heidelber

CUB

On the Application of Model Reduction Techniques to Real-Time Simulation of Non-linear tissuesoper Orthogonal (POD) or Karhunen-Loève Decompositions. The technique is based upon the construction of a complete model (using Finite Element modelling or other numerical technique, for instance, but possibly from experimental data) and the extraction and storage of the relevant information in orde

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Gobble

Efficient Nonlinear FEM for Soft Tissue Modelling and Its GPU Implementation within the Open Source multi-disciplinary area, researchers do not always have sufficient resources to develop an efficient and physically rigorous model for organ deformation. We address this issue by implementing a CUDA-based nonlinear finite element model into the SOFA open source framework. The proposed model is an a

合唱团

Biquadratic and Quadratic Springs for Modeling St Venant Kirchhoff Materials. First, we establish the equivalence between surface and volumetric St Venant-Kirchhoff materials defined on linear triangles and tetrahedra with tensile, bending and volumetric biquadratics springs. Those springs depend on the variation of square edge length while traditional or quadratic springs

Insulin

Exploring Parallel Algorithms for Volumetric Mass-Spring-Damper Models in CUDAy “exploiting” graphics APIs and recently through dedicated parallel computation frameworks such as the Compute Unified Device Architecture (CUDA) from Nvidia. This paper investigates multiple implementations of volumetric Mass-Spring-Damper systems in CUDA. The obtained performance is compared to p

共和国

Distribution

Coupling Deformable Models for Multi-object Segmentationctures are hardly distinguishable in image data, automatic segmentation methods for single structures in general do not yield sufficiently accurate results. To improve segmentation accuracy in these cases, knowledge about adjacent structures must be exploited. Optimal graph searching based on deform

Nomadic

Modelling Prostate Gland Motion for Image-Guided Interventionslt to measure during surgical interventions, and accurate estimates of soft-tissue properties, which vary significantly between patients. In this paper, we describe a method that combines FEA with a statistical approach to overcome these problems. We show how a patient-specific, statistical motion m

荧光

A Real-Time Predictive Simulation of Abdominal Organ Positions Induced by Free Breathing, in radiotherapy it would reduce the healthy tissue irradiation. In this paper, we present a method to predict in real-time the abdominal organs position during free breathing. This method needs an abdo-thoracic preoperative CT image, a second one limited to the diaphragm zone, and a tracking of th

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