A combination of experimental measurement, constitutive damage model, and diffusion tensor imaging to characterize the mechanical properties of the human brain. Issue 12 (10th September 2017)

• Record Type: Journal Article
• Authors: Karimi, Alireza; Rahmati, Seyed Mohammadali; Razaghi, Reza
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 20:Issue 12(2017)
• Page Start: 1350
• Page End: 1363
• Publication Date: 2017-09-10
• Subjects: Brain -- mechanical properties -- constitutive damage model -- diffusion tensor imaging -- axon fibers; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; Biomechanics -- Periodicals; Biomedical Engineering -- methods -- Periodicals; Computing Methodologies -- Periodicals; 612.7
• DOI: 10.1080/10255842.2017.1362694
• Languages: English
• ISSNs: 1025-5842

Abstract

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.