Literature DB >> 11731303

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

F J Carter1, T G Frank, P J Davies, D McLean, A Cuschieri.   

Abstract

Stress-strain data obtained from animal and human tissue have several applications including medical diagnosis, assisting in surgical instrument design and the production of realistic computer-based simulators for training in minimal access surgery. Such data may also be useful for corroborating mathematical models of tissue response. This paper presents data obtained from ex-vivo and in-vivo tissue indentation tests using a small indentor that is similar to instruments used in minimal access surgery. In addition, uniform stress tests provide basic material property data, via an exponential stress-strain law, to allow a finite element method to be used to predict the response for the non-uniform stresses produced by the small indentor. Data are obtained from harvested pig liver and spleen using a static compliance probe. Data for human liver are obtained from volunteer patients, undergoing minor open surgery, using a sterile hand-held compliance probe. All the results demonstrate highly non-linear stress-strain behaviour. Pig spleen is shown to be much more compliant than pig liver with mean elastic moduli of 0.11 and 4.0 MPa respectively. The right lobe of human liver had a mean elastic modulus of about 0.27 MPa. However, a single case of a diseased liver had a mean modulus of 0.74 MPa--nearly three times the stiffness. It was found that an exponential stress-strain law could accurately fit uniform stress test data and that subsequent finite element modelling for non-uniform stress around a small indentor matched measured force characteristics.

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Year:  2001        PMID: 11731303     DOI: 10.1016/s1361-8415(01)00048-2

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  28 in total

1.  Robotic palpation and mechanical property characterization for abnormal tissue localization.

Authors:  Bummo Ahn; Yeongjin Kim; Cheol Kyu Oh; Jung Kim
Journal:  Med Biol Eng Comput       Date:  2012-07-07       Impact factor: 2.602

2.  Strain rate-dependent viscohyperelastic constitutive modeling of bovine liver tissue.

Authors:  Esra Roan; Kumar Vemaganti
Journal:  Med Biol Eng Comput       Date:  2010-11-04       Impact factor: 2.602

3.  Real-time simulation of the nonlinear visco-elastic deformations of soft tissues.

Authors:  Ehsan Basafa; Farzam Farahmand
Journal:  Int J Comput Assist Radiol Surg       Date:  2010-07-07       Impact factor: 2.924

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

Authors:  Kevin Lister; Zhan Gao; Jaydev P Desai
Journal:  Ann Biomed Eng       Date:  2010-12-16       Impact factor: 3.934

5.  Combined compression and elongation experiments and non-linear modelling of liver tissue for surgical simulation.

Authors:  C Chui; E Kobayashi; X Chen; T Hisada; I Sakuma
Journal:  Med Biol Eng Comput       Date:  2004-11       Impact factor: 2.602

6.  What can the operator actually feel when performing a laparoscopy?

Authors:  G Picod; A C Jambon; D Vinatier; P Dubois
Journal:  Surg Endosc       Date:  2004-10-26       Impact factor: 4.584

7.  Transversely isotropic properties of porcine liver tissue: experiments and constitutive modelling.

Authors:  C Chui; E Kobayashi; X Chen; T Hisada; I Sakuma
Journal:  Med Biol Eng Comput       Date:  2006-12-08       Impact factor: 2.602

8.  Development of a mechanical testing assay for fibrotic murine liver.

Authors:  Stephanie L Barnes; Andrej Lyshchik; Mary K Washington; John C Gore; Michael I Miga
Journal:  Med Phys       Date:  2007-11       Impact factor: 4.071

Review 9.  Indentation versus tensile measurements of Young's modulus for soft biological tissues.

Authors:  Clayton T McKee; Julie A Last; Paul Russell; Christopher J Murphy
Journal:  Tissue Eng Part B Rev       Date:  2011-03-21       Impact factor: 6.389

10.  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

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