Literature DB >> 27741495

Temperature-dependent elastic properties of brain tissues measured with the shear wave elastography method.

Yan-Lin Liu1, Guo-Yang Li1, Ping He2, Ze-Qi Mao1, Yanping Cao3.   

Abstract

Determining the mechanical properties of brain tissues is essential in such cases as the surgery planning and surgical training using virtual reality based simulators, trauma research and the diagnosis of some diseases that alter the elastic properties of brain tissues. Here, we suggest a protocol to measure the temperature-dependent elastic properties of brain tissues in physiological saline using the shear wave elastography method. Experiments have been conducted on six porcine brains. Our results show that the shear moduli of brain tissues decrease approximately linearly with a slope of -0.041±0.006kPa/°C when the temperature T increases from room temperature (~23°C) to body temperature (~37°C). A case study has been further conducted which shows that the shear moduli are insensitive to the temperature variation when T is in the range of 37 to 43°C and will increase when T is higher than 43°C. With the present experimental setup, temperature-dependent elastic properties of brain tissues can be measured in a simulated physiological environment and a non-destructive manner. Thus the method suggested here offers a unique tool for the mechanical characterization of brain tissues with potential applications in brain biomechanics research.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brain tissues; Shear wave elastography method; Temperature-dependent elastic properties

Mesh:

Year:  2016        PMID: 27741495     DOI: 10.1016/j.jmbbm.2016.09.026

Source DB:  PubMed          Journal:  J Mech Behav Biomed Mater        ISSN: 1878-0180


  1 in total

1.  Temperature dependent of viscoelasticity measurement on fat emulsion phantom using acoustic radiation force elasticity imaging method.

Authors:  Peng Xie; Mengke Wang; Yanrong Guo; Huiying Wen; Xin Chen; Siping Chen; Haoming Lin
Journal:  Technol Health Care       Date:  2018       Impact factor: 1.285

  1 in total

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