Simple empirical model for identifying rheological properties of soft biological tissues

Yo Kobayashi, Mariko Tsukune, Tomoyuki Miyashita, and Masakatsu G. Fujie
Phys. Rev. E 95, 022418 – Published 28 February 2017

Abstract

Understanding the rheological properties of soft biological tissue is a key issue for mechanical systems used in the health care field. We propose a simple empirical model using fractional dynamics and exponential nonlinearity (FDEN) to identify the rheological properties of soft biological tissue. The model is derived from detailed material measurements using samples isolated from porcine liver. We conducted dynamic viscoelastic and creep tests on liver samples using a plate-plate rheometer. The experimental results indicated that biological tissue has specific properties: (i) power law increase in the storage elastic modulus and the loss elastic modulus of the same slope; (ii) power law compliance (gain) decrease and constant phase delay in the frequency domain; (iii) power law dependence between time and strain relationships in the time domain; and (iv) linear dependence in the low strain range and exponential law dependence in the high strain range between stress-strain relationships. Our simple FDEN model uses only three dependent parameters and represents the specific properties of soft biological tissue.

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  • Received 7 September 2015
  • Revised 11 September 2016

DOI:https://doi.org/10.1103/PhysRevE.95.022418

©2017 American Physical Society

Physics Subject Headings (PhySH)

  1. Physical Systems
Physics of Living SystemsFluid Dynamics

Authors & Affiliations

Yo Kobayashi*

  • Future Robotics Organization, Waseda University, Tokyo 169-8555, Japan; JST-PRESTO, Saitama 332-0012, Japan; and Graduate School of Engineering Science, Osaka University, Osaka 560-8531, Japan

Mariko Tsukune, Tomoyuki Miyashita, and Masakatsu G. Fujie

  • Faculty of Science and Engineering/Research Institute of Science and Engineering, Waseda University, Tokyo 169-8555, Japan

  • *you-k@fuji.waseda.jp

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Issue

Vol. 95, Iss. 2 — February 2017

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