NDLI: Validation Studies for the Dual Optimization of Indentation Creep and Stress Relaxation of Biological Soft Tissues Using Biphasic Poroviscoelasticity: Potential Method for Brain Tissue

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Joseph, E. Olberding Suh, Jun-Kyo Francis
Copyright Year	2004
Abstract	Traumatic brain injury (TBI) is highly fatal and has profound physical and psychological repercussions for survivors. Knowledge of the precise material properties of brain tissue is crucial in developing holistic computational models to predict and prevent TBI. Despite the recent proliferation of material models of brain tissue, none have utilized porous media theory to explicitly include the significant fluid component of the hydrated soft tissue. Furthermore, the delicate composition of brain tissue limits the number of suitable biomechanical testing methodologies. In order to incorporate these considerations, in situ indentation creep and stress relaxation tests and linear biphasic poroviscoelasticity (BPVE) [1] were proposed to characterize the material properties of cerebral brain tissue. The objective of the present study was to evaluate these experimental and computational protocols in which the data from indentation creep and stress relaxation tests were simultaneously curve-fitted using a dual-optimization technique to determine the material parameters of the linear BPVE model.
Sponsorship	Bioengineering Division
Starting Page	383
Ending Page	384
Page Count	2
File Format	PDF
ISBN	0791847039
DOI	10.1115/IMECE2004-60187
Volume Number	Advances in Bioengineering
Conference Proceedings	ASME 2004 International Mechanical Engineering Congress and Exposition
Language	English
Publisher Date	2004-11-13
Publisher Place	Anaheim, California, USA
Access Restriction	Subscribed
Subject Keyword	Brain Relaxation (physics) Traumatic brain injury Creep Biological tissues Porous materials Optimization Stress Soft tissues Biomechanics Fluids Materials properties Testing
Content Type	Text
Resource Type	Article

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