Literature DB >> 16686009

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

Jung Kim1, Mandayam A Srinivasan.   

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.

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Year:  2005        PMID: 16686009     DOI: 10.1007/11566489_74

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  14 in total

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5.  Modeling of Tool-Tissue Interactions for Computer-Based Surgical Simulation: A Literature Review.

Authors:  Sarthak Misra; K T Ramesh; Allison M Okamura
Journal:  Presence (Camb)       Date:  2008-10-01

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7.  In Situ Mechanical Characterization of Multilayer Soft Tissue Using Ultrasound Imaging.

Authors:  Saurabh Dargar; Ali C Akyildiz; Suvranu De
Journal:  IEEE Trans Biomed Eng       Date:  2016-12-23       Impact factor: 4.538

8.  An optimized transversely isotropic, hyper-poro-viscoelastic finite element model of the meniscus to evaluate mechanical degradation following traumatic loading.

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9.  Automatic detection of carotid arteries in computed tomography angiography: a proof of concept protocol.

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Journal:  Int J Cardiovasc Imaging       Date:  2016-05-03       Impact factor: 2.357

10.  Methods for Improving the Curvature of Steerable Needles in Biological Tissue.

Authors:  Troy K Adebar; Joseph D Greer; Paul F Laeseke; Gloria L Hwang; Allison M Okamura
Journal:  IEEE Trans Biomed Eng       Date:  2015-10-01       Impact factor: 4.538

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