Evaluating tensile damage of brain tissue in intracerebral hemorrhage based on strain energy

Ren,Peng; Wang,Bo‑Chu; Wang,Ya‑Zhou; Hao,Shi‑Lei; Guo,Ting‑Wang; Li,Xiao‑Fei

doi:10.3892/etm.2018.6757

Evaluating tensile damage of brain tissue in intracerebral hemorrhage based on strain energy

Authors:
- Peng Ren
- Bo‑Chu Wang
- Ya‑Zhou Wang
- Shi‑Lei Hao
- Ting‑Wang Guo
- Xiao‑Fei Li
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Affiliations: Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing 400044, P.R. China
Published online on: September 18, 2018 https://doi.org/10.3892/etm.2018.6757
Pages: 4843-4852
Copyright: © Ren et al. This is an open access article distributed under the terms of Creative Commons Attribution License.

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Abstract

Intracerebral hemorrhage (ICH) may lead to physical and pathological damage and has been a focus of research for decades. Evaluating tensile damage caused by deformation in ICH is an important component of damage assessment for correct diagnosis and treatment. Traditional research on ICH paid little attention to quantified brain tissue damage resulting from mechanical factors, and only a few reported the mechanical properties of damaged brain tissue. The aim of the present study was to present an effective method that is able to evaluate the tissue damage degree in ICH, based on strain energy function. Two finite element analysis (FEA) models were analyzed: A three‑dimensional (3D) model for tissue's tension experiment and a two‑dimensional (2D) model for brain tissue's deformation in ICH. The polynomial fitting function of stress vs. stretch curve, which was derived from previous reports, was used in the FEA as the constitutive function of brain tissue. The present study demonstrated that white matter could be regarded as hyperelastic material when stretch was <1.343, and with stretch increasing, tissue injury exacerbated when stretch was >1.343. The strain energy loss was not linear in this process, and Neo‑Hookean and Ogden model's results demonstrated a similar change in trend, but a difference in quantity. The results from 2D and 3D simulation, respectively, demonstrated the degree of damage according to the above dividing criteria and the possible distribution of tissue damage after ICH ictus. An analytical model from a biomechanical perspective for white matter injury in ICH may facilitate to improve clinical diagnosis and treatment.

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