Literature DB >> 15519351

Method of testing very soft biological tissues in compression.

Karol Miller1.   

Abstract

Mechanical properties of very soft tissues, such as brain, liver, kidney and prostate have recently joined the mainstream research topics in biomechanics. This has happened in spite of the fact that these tissues do not bear mechanical loads. The interest in the biomechanics of very soft tissues has been motivated by the developments in computer-integrated and robot-aided surgery--in particular, the emergence of automatic surgical tools and robots-as well as advances in virtual reality techniques. Mechanical testing of very soft tissues provides a formidable challenge for an experimenter. Very soft tissues are usually tested in compression using an unconfined compression set-up, which requires ascertaining that friction between sample faces and stress-strain machine platens is close to zero. In this paper a more reliable method of testing is proposed. In the proposed method top and bottom faces of a cylindrical specimen with low aspect ratio are rigidly attached to the platens of the stress-strain machine (e.g. using surgical glue). This arrangement allows using a no-slip boundary condition in the analysis of the results. Even though the state of deformation in the sample cannot be treated as orthogonal the relationships between total change of height (measured) and strain are obtained. Two important results are derived: (i) deformed shape of a cylindrical sample subjected to uniaxial compression is independent on the form of constitutive law, (ii) vertical extension in the plane of symmetry lambda(z) is proportional to the total change of height for strains as large as 30%. The importance and relevance of these results to testing procedures in biomechanics are highlighted.

Mesh:

Year:  2005        PMID: 15519351     DOI: 10.1016/j.jbiomech.2004.03.004

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  18 in total

1.  On the unimportance of constitutive models in computing brain deformation for image-guided surgery.

Authors:  Adam Wittek; Trent Hawkins; Karol Miller
Journal:  Biomech Model Mechanobiol       Date:  2008-02-02

2.  A Physics-driven Neural Networks-based Simulation System (PhyNNeSS) for multimodal interactive virtual environments involving nonlinear deformable objects.

Authors:  Suvranu De; Dhannanjay Deo; Ganesh Sankaranarayanan; Venkata S Arikatla
Journal:  Presence (Camb)       Date:  2011-08

3.  Tension Strain-Softening and Compression Strain-Stiffening Behavior of Brain White Matter.

Authors:  Faezeh Eskandari; Mehdi Shafieian; Mohammad M Aghdam; Kaveh Laksari
Journal:  Ann Biomed Eng       Date:  2020-06-03       Impact factor: 3.934

4.  An experimental study on the mechanical properties of rat brain tissue using different stress-strain definitions.

Authors:  Alireza Karimi; Mahdi Navidbakhsh
Journal:  J Mater Sci Mater Med       Date:  2014-03-28       Impact factor: 3.896

5.  Long-term changes in the material properties of brain tissue at the implant-tissue interface.

Authors:  Arati Sridharan; Subramaniam D Rajan; Jit Muthuswamy
Journal:  J Neural Eng       Date:  2013-10-08       Impact factor: 5.379

6.  On the prospect of patient-specific biomechanics without patient-specific properties of tissues.

Authors:  Karol Miller; Jia Lu
Journal:  J Mech Behav Biomed Mater       Date:  2013-02-09

7.  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

8.  Constitutive modeling of porcine liver in indentation using 3D ultrasound imaging.

Authors:  P Jordan; S Socrate; T E Zickler; R D Howe
Journal:  J Mech Behav Biomed Mater       Date:  2008-09-06

9.  Temporal evolution of mechanical properties of skeletal tissue regeneration in rabbits: an experimental study.

Authors:  Didier Moukoko; Martine Pithioux; Patrick Chabrand
Journal:  Med Biol Eng Comput       Date:  2007-08-11       Impact factor: 2.602

10.  Preparation and mechanical characterization of a PNIPA hydrogel composite.

Authors:  Kaifeng Liu; Timothy C Ovaert; James J Mason
Journal:  J Mater Sci Mater Med       Date:  2007-11-28       Impact factor: 3.896

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