Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation.
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Symmetric Biomechanically Guided Prone-to-Supine Breast Image RegistrationReal-Time Nonlinear Finite Element Computations on GPU - Application to Neurosurgical SimulationOn the prospect of patient-specific biomechanics without patient-specific properties of tissuesMore accurate neuronavigation data provided by biomechanical modeling instead of rigid registration.Patient-specific non-linear finite element modelling for predicting soft organ deformation in real-time: application to non-rigid neuroimage registration.Development of in vivo constitutive models for liver: application to surgical simulation.Patient-specific biomechanical model as whole-body CT image registration tool.Efficient inverse isoparametric mapping algorithm for whole-body computed tomography registration using deformations predicted by nonlinear finite element modeling.Toward a real time multi-tissue Adaptive Physics-Based Non-Rigid Registration framework for brain tumor resection.Biomechanical model as a registration tool for image-guided neurosurgery: evaluation against BSpline registrationImproved Rubin-Bodner model for the prediction of soft tissue deformations.Deformation of facial model for complete denture prosthesis using ARAP group method and elastic properties.An adaptive Dynamic Relaxation method for solving nonlinear finite element problems. Application to brain shift estimation.Patient-specific computational biomechanics of the brain without segmentation and meshing.A simple method to estimate the exponential material parameters of heart valve tissue based on analogy between uniaxial tension and micropipette aspiration.Biomechanical model for computing deformations for whole-body image registration: A meshless approach.GPGPU-based explicit finite element computations for applications in biomechanics: the performance of material models, element technologies, and hardware generations.Models and tissue mimics for brain shift simulations.Meshless algorithm for soft tissue cutting in surgical simulation.Numerical Simulation of Anisotropic Tissue Growth Using a Total Lagrangian Formulation
P2860
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P2860
Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
Suite of finite element algori ...... ation for surgical simulation.
@en
Suite of finite element algori ...... ation for surgical simulation.
@nl
type
label
Suite of finite element algori ...... ation for surgical simulation.
@en
Suite of finite element algori ...... ation for surgical simulation.
@nl
prefLabel
Suite of finite element algori ...... ation for surgical simulation.
@en
Suite of finite element algori ...... ation for surgical simulation.
@nl
P2093
P2860
P1476
Suite of finite element algori ...... ation for surgical simulation.
@en
P2093
Adam Wittek
Grand Roman Joldes
Karol Miller
P2860
P304
P356
10.1016/J.MEDIA.2008.12.001
P577
2008-12-24T00:00:00Z