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Experimental Mechanics

, Volume 59, Issue 2, pp 251–261 | Cite as

In-Vivo Soft Tissues Mechanical Characterization: Volume-Based Aspiration Method Validated on Silicones

  • S. A. Elahi
  • N. ConnessonEmail author
  • G. Chagnon
  • Y. Payan
Article
  • 137 Downloads

Abstract

Simulating the deformations of soft tissues has gained importance in recent years due to the development of 3D patient-specific biomechanical models in the context of Computer Assisted Medical Interventions. To design such models, the mechanical behavior of each soft tissue has to be characterized in-vivo. In this paper, a volume-based aspiration method for in-vivo mechanical characterization of soft tissues was validated on synthetic materials. For this purpose, two silicones with slightly different stiffnesses were made. Samples were characterized using (1) aspiration, and, as references, two classical tests such as (2) uniaxial and (3) equibiaxial extension tests. Performing a Finite Element (FE) inverse identification on the experimental results provided Young’s moduli similar to classical tests with about 7% maximum overestimation for the two silicones. This highlighted a significant improvement of the measurement method accuracy compared to the literature (about 30% relative overestimation). Eventually, the aspiration method ability to discriminate the two silicones was also tested and proven to be similar to classical characterization tests. Based on the presented results, relative mechanical behavior mapping of soft tissues (organ or skin) is possible without requiring an inverse characterization procedure.

Keywords

Suction/aspiration method Soft tissues characterizations In-vivo measurement Silicone Experimental mechanics 

Notes

Acknowledgements

This work has been started thanks to the CNRS (INS2I) PEPS ”Young researcher” in 2015.

Supplementary material

11340_2018_440_MOESM1_ESM.pdf (6.8 mb)
(PDF 6.79 MB)

References

  1. 1.
    Schwenninger D, Schumann S, Guttmann J (2011) In vivo characterization of mechanical tissue properties of internal organs using endoscopic microscopy and inverse finite element analysis. J Biomech 44:487–493CrossRefGoogle Scholar
  2. 2.
    Payan Y, Ohayon J (2017) Biomechanics of living organs: Hyperelastic constitutive laws for finite element modeling. Elsevier, Academic Press Series in Biomedical EngineeringGoogle Scholar
  3. 3.
    Budday S, Sommer G, Birkl C, Langkammer C, Haybaeck J, Kohnert J, Bauer M, Paulsen F, Steinmann P, Kuhl E, Holzapfel GA (2017) Mechanical characterization of human brain tissue. Acta Biomater 48:319–340CrossRefGoogle Scholar
  4. 4.
    Holzapfel GA, Ogden RW (2010) Constitutive modelling of arteries. P Roy Soc A-Math Phy 466:1551–1597MathSciNetCrossRefzbMATHGoogle Scholar
  5. 5.
    Hollenstein M, Jabareen M, Breitenstein S, Riener MO, Clavien PA, Bajka M, Mazza E (2009) Intraoperative mechanical characterization of human liver. Proc Appl Math Mech 9:83–86CrossRefGoogle Scholar
  6. 6.
    Carter FJ, Frank TG, Davies PJ, McLean D, Cuschieri A (2001) Measurements and modelling of the compliance of human and porcine organs. Med Image Anal 5:231–236CrossRefGoogle Scholar
  7. 7.
    Samur E, Sedef M, Basdogan C, Avtan L, Duzgun O (2007) A robotic indenter for minimally invasive measurement and characterization of soft tissue response. Med Image Anal 11:361–373CrossRefGoogle Scholar
  8. 8.
    Yao W, Yoshida K, Fernandez M, Vink J, Wapner RJ, Ananth CV, Oyen ML, Myers KM (2014) Measuring the compressive viscoelastic mechanical properties of human cervical tissue using indentation. J Mech Behav Biomed 34:18–36CrossRefGoogle Scholar
  9. 9.
    Brown JD, Rosen J, Kim YS, Chang L, Sinanan MN, Hannaford B (2003) In-vivo and in-situ compressive properties of porcine abdominal soft tissues. St Heal T 94:26–32Google Scholar
  10. 10.
    Agache PG, Monneur C, Leveque JL, Rigal JD (1980) Mechanical properties and Young’s modulus of human skin in vivo. Arch Dermatol Res 269:221–232CrossRefGoogle Scholar
  11. 11.
    Diridollou S, Patat F, Gens F, Vaillant L, Black D, Lagarde JM, Gall Y, Berson M (2000) In vivo model of the mechanical properties of the human skin under suction. Skin Res Technol 6:214–221CrossRefGoogle Scholar
  12. 12.
    Badir S, Mazza E, Bajka M (2016) Objective assessment of cervical stiffness after administration of misoprostol for intrauterine contraceptive insertion. Ultrasound international open 2:63–67CrossRefGoogle Scholar
  13. 13.
    Vuskovic V (2001) Device for in-vivo measurement of mechanical properties of internal human soft tissues. Swiss Federal Institute of Technology Zurich, DissertationGoogle Scholar
  14. 14.
    Hendriks FM, Brokken D, Oomens CWJ, Bader DL, Baaijens FPT (2006) The relative contributions of different skin layers to the mechanical behavior of human skin in vivo using suction experiments. Med Eng Phys 28:259–266CrossRefGoogle Scholar
  15. 15.
    Badir S, Bajka M, Mazza E (2013) A novel procedure for the mechanical characterization of the uterine cervix during pregnancy. J Mech Behav Biomed 27:143–153CrossRefGoogle Scholar
  16. 16.
    Nava A, Mazza E, Furrer M, Villiger P, Reinhart WH (2008) In vivo mechanical characterization of human liver. Med Image Anal 12:203–206CrossRefGoogle Scholar
  17. 17.
    Luboz V, Promayon E, Payan Y (2014) Linear elastic properties of the facial soft tissues using an aspiration device: towards patient specific characterization. Ann Biomed Eng 42:2369–2378CrossRefGoogle Scholar
  18. 18.
    Kauer M, Vuskovic V, Dual J, Szekely G, Bajka M (2002) Inverse finite element characterization of soft tissues. Med Image Anal 6:275–287CrossRefzbMATHGoogle Scholar
  19. 19.
    Schiavone P, Boudou T, Promayon E, Perrier P, Payan Y (2008) A light sterilizable pipette device for the in vivo estimation of human soft tissues constitutive laws. In: Proceedings of 30th Annual Int. IEEE EMBS Conf., Canada, British Columbia, Vancouver, pp 4298–4301Google Scholar
  20. 20.
    Schiavone P, Chassat F, Boudou T, Promayon E, Valdivia F, Payan Y (2009) In vivo measurement of human brain elasticity using a light aspiration device. Med Image Anal 13:673–678CrossRefGoogle Scholar
  21. 21.
    Schiavone P, Promayon E, Payan Y (2010) LASTIC: a Light Apiration device for in vivo Soft TIssue Characterization. In: Proceedings 5th Int. Symp. biomedical simulation ISBMS, Series: lecture notes in computer science, USA, pp 1–10Google Scholar
  22. 22.
    Luboz V, Promayon E, Chagnon G, Alonso T, Favier D, Barthod C, Payan Y (2012) Validation of a light aspiration device for in vivo soft tissue characterization (LASTIC). In: Payan Y (ed) Soft tissue biomechanical modeling for computer assisted surgery. Springer, pp 243–256Google Scholar
  23. 23.
    Hollenstein M, Bugnard G, Joos R, Kropf S, Villiger P, Mazza E (2013) Towards laparoscopic tissue aspiration. Med Image Anal 17:1037–1045CrossRefGoogle Scholar
  24. 24.
    Weickenmeier J, Jabareen M, Mazza E (2015) Suction based mechanical characterization of superficial facial soft tissues. J Biomech 48:4279–4286CrossRefGoogle Scholar
  25. 25.
    Elahi SA, Connesson N, Payan Y (2018) Disposable system for in-vivo mechanical characterization of soft tissues based on volume measurement. J Mech Med Biol 18(1850037):17Google Scholar
  26. 26.
    Machado G, Stricher A, Chagnon G, Favier D (2017) Mechanical behavior of architectured photosensitive silicone membranes: Experimental data and numerical analysis. Mech Adv Mater Struc 24:524–533CrossRefGoogle Scholar
  27. 27.
    Hill R (1950) A theory of the plastic bulging of a metal diaphragm by lateral pressure. Philos Mag 41:1133–1142MathSciNetCrossRefzbMATHGoogle Scholar
  28. 28.
    Franceschini G, Bigoni D, Regitnig P, Holzapfel GA (2006) Brain tissue deforms similarly to filled elastomers and follows consolidation theory. J Mech Phys Solids 54:2592–2620CrossRefzbMATHGoogle Scholar
  29. 29.
    Gent AN (1996) A new constitutive relation for rubber. Rubber Chem Technol 69:59–61MathSciNetCrossRefGoogle Scholar
  30. 30.
    Chagnon G, Marckmann G, Verron E (2004) A comparison of the Hart-Smith model with Arruda-Boyce and Gent formulations for rubber elasticity. Rubber Chem Technol 77:724–735CrossRefGoogle Scholar
  31. 31.
    Marckmann G, Verron E (2006) Comparison of hyperelastic models for rubber-like materials. Rubber Chem Technol 79:853—858CrossRefGoogle Scholar
  32. 32.
    Nelder JA, Mead R (1965) A simplex method for function minimization. Comput J 7:308—313MathSciNetCrossRefzbMATHGoogle Scholar
  33. 33.
    Rey T, Chagnon G, Le Cam JB, Favier D (2013) Influence of the temperature on the mechanical behaviour of filled and unfilled silicone rubbers. Polym Test 32:492–501CrossRefGoogle Scholar

Copyright information

© Society for Experimental Mechanics 2019

Authors and Affiliations

  • S. A. Elahi
    • 1
  • N. Connesson
    • 1
    Email author
  • G. Chagnon
    • 1
  • Y. Payan
    • 1
  1. 1.Univ. Grenoble Alpes, CNRSGrenoble INP, TIMC-IMAGGrenobleFrance

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