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用于实时软组织模拟的各向异性粘弹性建模。

Modelling anisotropic viscoelasticity for real-time soft tissue simulation.

作者信息

Taylor Zeike A, Comas Olivier, Cheng Mario, Passenger Josh, Hawkes David J, Atkinson David, Ourselin Sébastien

机构信息

Centre for Medical Image Computing, University College London, Gower St, London, WC1E 6BT, UK.

出版信息

Med Image Comput Comput Assist Interv. 2008;11(Pt 1):703-10. doi: 10.1007/978-3-540-85988-8_84.

DOI:10.1007/978-3-540-85988-8_84
PMID:18979808
Abstract

Previously almost all biomechanically-based time-critical surgical simulation has ignored the well established features of tissue mechanical response of anisotropy and time-dependence. We address this issue by presenting an efficient solution procedure for anisotropic viscohyperelastic constitutive models which allows use of these in nonlinear explicit dynamic finite element algorithms. We show that the procedure allows incorporation of both anisotropy and viscoelasticity for as little as 5.1% additional cost compared with the usual isotropic elastic models. When combined with high performance GPU execution the complete framework is suitable for time-critical simulation applications such as interactive surgical simulation and intraoperative image registration.

摘要

此前,几乎所有基于生物力学的对时间要求严格的手术模拟都忽略了组织机械响应中已得到充分证实的各向异性和时间依赖性特征。我们通过提出一种针对各向异性粘弹性本构模型的高效求解方法来解决这一问题,该方法允许在非线性显式动态有限元算法中使用这些模型。我们表明,与通常的各向同性弹性模型相比,该方法将各向异性和粘弹性结合起来的额外成本低至5.1%。当与高性能GPU执行相结合时,完整的框架适用于对时间要求严格的模拟应用,如交互式手术模拟和术中图像配准。

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