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;
Type of Paper: Invited
Id Paper: 211
Topic: 42Abstract:
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.
Keywords:
Advanced materials;
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 SummitFull Text:
Click here to access the Full TextCite this article as:
Jehl J, Kouitat Njiwa R, Maureira P. (2018).
Liquid Environment Spherical Depth Sensing Indentation: Toward the Mechanical Characterization of Living Tissue.
In F. Kongoli, S. Kobe, M. Calin, J.-M. Dubois, T. Turna
(Eds.), Sustainable Industrial Processing Summit
SIPS2018 Volume 5. Zehetbauer Intl. Symp. / SISAM
(pp. 105-116).
Montreal, Canada: FLOGEN Star Outreach