2018 - Sustainable Industrial Processing Summit & Exhibition
4-7 November 2018, Rio Othon Palace, Rio De Janeiro, Brazil
Seven Nobel Laureates have already confirmed their attendance: Prof. Dan Shechtman, Prof. Sir Fraser Stoddart, Prof. Andre Geim, Prof. Thomas Steitz, Prof. Ada Yonath, Prof. Kurt Wüthrich and Prof. Ferid Murad. More than 400 Abstracts Submitted from about 60 Countries.
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    Liquid Environment Spherical Depth Sensing Indentation: Toward the Mechanical Characterization of Living Tissue
    Jean-philippe Jehl1; Richard Kouitat Njiwa2; Pablo Maureira3;
    1INSTITUT JEAN LAMOUR - UNIVERSITé DE LORRAINE, Nancy, France; 2INSTITUT JEAN LAMOUR (UMR 7198 CNRS-UNIVERSITé DE LORRAINE), Nancy, France; 3INSERM U961, Nancy, France;
    PAPER: 211/SISAM/Invited (Oral)
    SCHEDULED: 12:10/Wed./Copacabana A (150/1st)



    ABSTRACT:
    Nowadays, it is increasingly understood that the mechanical characteristics of living systems play a fundamental role in their function. Their determination is quite difficult and are required in many applications; for instance, the manufacture of dummies used in the surgical simulation procedures (internal training and learning in continuing education) [1, 2], the manufacture of specialized neo-tissue [3], and the numerical investigation of tissue response to external stimuli. The determination of the mechanical properties of soft biological materials is of great interest for imaging, where these material properties can be used to distinguish healthy and pathological tissues [4]. Mechanical tests are carried out to study the mechanical behavior of biological tissues [5]. This work proposes to use spherical depth sensing indentation experiments for the characterization of soft tissue (cardiac tissue). The tissue dries up quickly and therefore a liquid environment is necessary to perform the experiment. The spherical depth sensing indentation has recently been adapted to operate in such an environment [6]. The present work focuses on the results obtained for cardiac tissue samples. The built-up procedure appear to be effective in a wide range of deformations.

    References:
    [1] Misra S, Ramesh KT, Okamura AM. Modeling of tool-tissue
    interactions for computer-based surgical simulation: a literature
    review. Presence-Teleop Virt 2008; 17: 463-491.
    [2] Perrenot C, Perez M, Tran N, Jehl J-Ph, Felblinger J, Bresler L, Hubert J
    The virtual reality simulator dV-Trainer is a valid assessment tool for robotic surgical skills. Surgical Endoscopy September 2012, Volume 26, Issue 9, pp 2587-2593
    [3] Fung YC. Stress, strain, growth, and remodeling of living organisms.
    In: Casey J, Crochet MJ, editors. Theoretical, experimental,
    and numerical contributions to the mechanics of fluids and
    solids. Basel/Switzerland: Birkh.user Verlag 1995: 469-482.
    [4] J-Ph. Jehl and R. Kouitat Njiwa. A (Constrained) Microstretch Approach in Living Tissue Modeling: a Numerical Investigation Using the Local Point Interpolation - Boundary Element Method. Computer Modeling in Engineering & Sciences, Vol.102, No.5, 2014
    [5] Gao Z, Lister K, Desai J. Constitutive modeling of liver tissue:
    experiment and theory. Ann Biomed Eng 2010; 38: 505-516.
    [6] J-Ph. Jehl, A.Voignier, R. Kouitat. On the depth sensing indentation on liquid environment for application to biological tissue. 2016 Sustainable Industrial Processing Summit