通过体内动物实验和有限元参数反演估计对粘弹性软组织特性进行表征。

Characterization of viscoelastic soft tissue properties from in vivo animal experiments and inverse FE parameter estimation.

作者信息

Kim Jung, Srinivasan Mandayam A

机构信息

Dept. of Mechanical Engineering, Korea Advanced Institute of Science and Technology, Korea.

出版信息

Med Image Comput Comput Assist Interv. 2005;8(Pt 2):599-606. doi: 10.1007/11566489_74.

Abstract

Soft tissue characterization and modeling based on living tissues has been investigated in order to provide a more realistic behavior in a virtual reality based surgical simulation. In this paper, we characterize the nonlinear viscoelastic properties of intra-abdominal organs using the data from in vivo animal experiments and inverse FE parameter estimation algorithm. In the assumptions of quasi-linear-viscoelastic theory, we estimated the viscoelastic and hyerelastic material parameters to provide a physically based simulation of tissue deformations. To calibrate the parameters to the experimental results, we developed a three dimensional FE model to simulate the forces at the indenter and an optimization program that updates new parameters and runs the simulation iteratively. We can successfully reduce the time and computation resources by decoupling the viscoelastic part and nonlinear elastic part in a tissue model. The comparison between simulation and experimental behavior of pig intra abdominal soft tissue are presented to provide a validness of the tissue model using our approach.

摘要

为了在基于虚拟现实的手术模拟中提供更逼真的行为,已经对基于活体组织的软组织特征化和建模进行了研究。在本文中,我们使用来自体内动物实验的数据和有限元参数反演估计算法来表征腹腔内器官的非线性粘弹性特性。在准线性粘弹性理论的假设下,我们估计了粘弹性和超弹性材料参数,以提供基于物理的组织变形模拟。为了将参数校准到实验结果,我们开发了一个三维有限元模型来模拟压头处的力,并开发了一个优化程序,该程序迭代更新新参数并运行模拟。通过在组织模型中分离粘弹性部分和非线性弹性部分,我们可以成功减少时间和计算资源。本文给出了猪腹腔软组织模拟行为与实验行为的比较,以验证我们所采用方法的组织模型的有效性。

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