Literature DB >> 21161684

Development of in vivo constitutive models for liver: application to surgical simulation.

Kevin Lister1, Zhan Gao, Jaydev P Desai.   

Abstract

Advancements in real-time surgical simulation techniques have provided the ability to utilize more complex nonlinear constitutive models for biological tissues which result in increased haptic and graphic accuracy. When developing such a model, verification is necessary to determine the accuracy of the force response as well as the magnitude of tissue deformation for tool-tissue interactions. In this study, we present an experimental device which provides the ability to obtain force-displacement information as well as surface deformation of porcine liver for in vivo probing tasks. In addition, the system is capable of accurately determining the geometry of the liver specimen. These combined attributes provide the context required to simulate the experiment with accurate boundary conditions, whereby the only variable in the analysis is the material properties of the liver specimen. During the simulation, effects of settling due to gravity have been taken into account by a technique which incorporates the proper internal stress conditions in the model without altering the geometry. Initially, an Ogden model developed from ex vivo tension and compression experimentation is run through the simulation to determine the efficacy of utilizing an ex vivo model for simulation of in vivo probing tasks on porcine liver. Subsequently, a method for improving upon the ex vivo model was developed using different hyperelastic models such that increased accuracy could be achieved for the force characteristics compared to the displacement characteristics, since changes in the force variation would be more perceptible to a user in the simulation environment, while maintaining a high correlation with the surface displacement data. Furthermore, this study also presents the probing simulation which includes the capsule surrounding the liver.

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Year:  2010        PMID: 21161684      PMCID: PMC3160273          DOI: 10.1007/s10439-010-0227-8

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  20 in total

1.  Mechanical properties of brain tissue in-vivo: experiment and computer simulation.

Authors:  K Miller; K Chinzei; G Orssengo; P Bednarz
Journal:  J Biomech       Date:  2000-11       Impact factor: 2.712

2.  Effects of perfusion on the viscoelastic characteristics of liver.

Authors:  Amy E Kerdok; Mark P Ottensmeyer; Robert D Howe
Journal:  J Biomech       Date:  2005-08-29       Impact factor: 2.712

3.  Subject-specific non-linear biomechanical model of needle insertion into brain.

Authors:  A Wittek; T Dutta-Roy; Z Taylor; A Horton; T Washio; K Chinzei; K Miller
Journal:  Comput Methods Biomech Biomed Engin       Date:  2008-04       Impact factor: 1.763

4.  In vivo mechanical characterization of human liver.

Authors:  A Nava; E Mazza; M Furrer; P Villiger; W H Reinhart
Journal:  Med Image Anal       Date:  2007-10-23       Impact factor: 8.545

5.  Biomechanical properties of abdominal organs in vivo and postmortem under compression loads.

Authors:  Jacob Rosen; Jeffrey D Brown; Smita De; Mika Sinanan; Blake Hannaford
Journal:  J Biomech Eng       Date:  2008-04       Impact factor: 2.097

6.  Least-squares fitting of two 3-d point sets.

Authors:  K S Arun; T S Huang; S D Blostein
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  1987-05       Impact factor: 6.226

7.  Strain-rate dependent material properties of the porcine and human kidney capsule.

Authors:  J G Snedeker; P Niederer; F R Schmidlin; M Farshad; C K Demetropoulos; J B Lee; K H Yang
Journal:  J Biomech       Date:  2005-05       Impact factor: 2.712

8.  Measurements and modelling of the compliance of human and porcine organs.

Authors:  F J Carter; T G Frank; P J Davies; D McLean; A Cuschieri
Journal:  Med Image Anal       Date:  2001-12       Impact factor: 8.545

9.  Estimating zero-strain states of very soft tissue under gravity loading using digital image correlation.

Authors:  Zhan Gao; Jaydev P Desai
Journal:  Med Image Anal       Date:  2009-11-14       Impact factor: 8.545

10.  Suite of finite element algorithms for accurate computation of soft tissue deformation for surgical simulation.

Authors:  Grand Roman Joldes; Adam Wittek; Karol Miller
Journal:  Med Image Anal       Date:  2008-12-24       Impact factor: 8.545

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  2 in total

1.  Smoothed particle hydrodynamics simulation of biphasic soft tissue and its medical applications.

Authors:  Yi-Jui Chang; Peyman Benharash; Erik P Dutson; Jeff D Eldredge
Journal:  Med Biol Eng Comput       Date:  2021-01-08       Impact factor: 2.602

2.  Probabilistic estimation of mechanical properties of biomaterials using atomic force microscopy.

Authors:  Rajarshi Roy; Wenjin Chen; Lei Cong; Lauri A Goodell; David J Foran; Jaydev P Desai
Journal:  IEEE Trans Biomed Eng       Date:  2014-02       Impact factor: 4.538

  2 in total

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