A combination of experimental measurement, constitutive damage model, and diffusion tensor imaging to characterize the mechanical properties of the human brain

Alireza Karimi, Seyed Mohammadali Rahmati, Reza Razaghi

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Understanding the mechanical properties of the human brain is deemed important as it may subject to various types of complex loadings during the Traumatic Brain Injury (TBI). Although many studies so far have been conducted to quantify the mechanical properties of the brain, there is a paucity of knowledge on the mechanical properties of the human brain tissue and the damage of its axon fibers under the various types of complex loadings during the Traumatic Brain Injury (TBI). Although many studies so far have been conducted to quantify the mechanical properties of the brain, there is a paucity of knowledge on the mechanical properties of the human brain tissue and the damage of its axon fibers under the frontal lobe of the human brain. The constrained nonlinear minimization method was employed to identify the brain coefficients according to the axial and transversal compressive data. The pseudo-elastic damage model data was also well compared with that of the experimental data and it not only up to the primary loading but also the discontinuous softening could well address the mechanical behavior of the brain tissue.

Original languageEnglish (US)
Pages (from-to)1350-1363
Number of pages14
JournalComputer Methods in Biomechanics and Biomedical Engineering
Volume20
Issue number12
DOIs
StatePublished - Sep 10 2017
Externally publishedYes

Keywords

  • Brain
  • axon fibers
  • constitutive damage model
  • diffusion tensor imaging
  • mechanical properties

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering
  • Human-Computer Interaction
  • Computer Science Applications

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