Finite-element models of the human head

Voo, Liming; Kumaresan, Srirangam; Pintar, Frank A.; Yoganandan, Narayan; Sances, Anthony

doi:10.1007/bf02520009

Cited by 123 publications

(62 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…An excellent set of reviews details the early development of these models, which focused on modeling impact testing in human surrogates and developing estimates of tolerance under simple impact conditions [119,120]. These models quickly expanded into efforts for modeling the brain mechanical response under more complex conditions, and the need to accurately model the structure, material properties, and developing new material formulations for the soft brain material properties became evident.…”

Section: An Integrated Multiscale Approach For Understanding Traumatmentioning

confidence: 99%

The Mechanics of Traumatic Brain Injury: A Review of What We Know and What We Need to Know for Reducing Its Societal Burden

Meaney

Morrison

Bass

2014

Journal of Biomechanical Engineering

203

133

View full text Add to dashboard Cite

Traumatic brain injury (TBI) is a significant public health problem, on pace to become the third leading cause of death worldwide by 2020. Moreover, emerging evidence linking repeated mild traumatic brain injury to long-term neurodegenerative disorders points out that TBI can be both an acute disorder and a chronic disease. We are at an important transition point in our understanding of TBI, as past work has generated significant advances in better protecting us against some forms of moderate and severe TBI. However, we still lack a clear understanding of how to study milder forms of injury, such as concussion, or new forms of TBI that can occur from primary blast loading. In this review, we highlight the major advances made in understanding the biomechanical basis of TBI. We point out opportunities to generate significant new advances in our understanding of TBI biomechanics, especially as it appears across the molecular, cellular, and whole organ scale.

show abstract

Section: An Integrated Multiscale Approach For Understanding Traumatmentioning

confidence: 99%

The Mechanics of Traumatic Brain Injury: A Review of What We Know and What We Need to Know for Reducing Its Societal Burden

Meaney

Morrison

Bass

2014

Journal of Biomechanical Engineering

203

133

View full text Add to dashboard Cite

show abstract

“…That work concluded that there exists higher shear strain for windshield impact compared with A-pillar impact. Khalil and Viano [21] and Voo et al, [22] have reviewed these older models. More recently, Claessens [23] constructed a model and used it for parametric tests.…”

Section: Introductionmentioning

confidence: 99%

Influence of FE model variability in predicting brain motion and intracranial pressure changes in head impact simulations

Horgan¹,

Gilchrist

2004

International Journal of Crashworthiness

186

135

View full text Add to dashboard Cite

In order to create a useful computational tool that will aid in the understanding and perhaps prevention of head injury, it is important to know the quantitative influence of the constitutive properties, geometry and finite element formulations of the intracranial contents upon the mechanics of a head impact event. The University College Dublin Brain Trauma Model (UCDBTM) [1] has been refined and validated against a series of cadaver tests and the influence of different finite element formulations has been investigated. In total six different model configurations were constructed: (i) the baseline model, (ii) a refined baseline model which explicitly differentiates between grey and white neural tissue, (iii) a model with three elements through the thickness of the cerebrospinal fluid (CSF) layer, (iv) a model simulating a sliding boundary, (v) a projection mesh model (which also distinguishes between neural tissue) and (vi) a morphed model. These models have been compared against a cadaver test of Trosseille [2] and of Hardy [3]. The results indicate that, despite the fundamental differences between these six model formulations, the comparisons with the experimentally measured pressures and relative displacements were largely consistent and in good agreement. These results may prove useful for those attempting to model real life accident scenarios, especially when the time to construct a patient specific model using traditional mesh generation approaches is taken into account.

show abstract

“…However, finite element analysis (FEA) has become an important and effective tool to investigate the biomechanics of trauma, including brain and spine injury mechanics Voo, Kumaresan et al 1996;Wheeldon, Khouphongsy et al 2000), but there have been no published analyses of SCI mechanics.…”

Section: Discussionmentioning

confidence: 99%

In Vivo Tissue-Level Thresholds for Spinal Cord Injury

Maikos

2007

ASME 2007 Summer Bioengineering Conference

View full text Add to dashboard Cite

Primary damage to the blood-spinal cord barrier (BSCB) is a nearly universal consequence of spinal cord injury that contributes significantly to the overall pathology. The in vivo tissue-level thresholds for mechanical disruption of the BSCB were identified by comparing the results of spinal cord contusions produced with weight drop injury to a finite element analysis (FEA) of the experimental model. The extent and severity of primary, physical disruption of the BSCB was quantified in adult rats five minutes after graded trauma induced with the Impactor weight drop model of spinal cord contusion. The volume of extravasation of three markers of distinct size -fluorescently labeled hydrazide (~730Da), fluorescently labeled bovine serum albumin (~70kDa), and immunohistochemically labeled red blood cells (~5µm) was evaluated in both the gray and white matter. Extravasation volumes increased with increasing drop height and decreasing species size, and were greater in gray matter than in white matter. A three-dimensional finite element analysis of the weight drop model was performed and validated with the in vivo experimental peak displacement of the spinal cord at two loading conditions. The peak compression of the model was within ten percent of the experimental results. A parametric analysis revealed that the model was most sensitive to changes in the viscoelastic properties of the spinal cord. The finite element iii model provided temporal and spatial profiles of mechanical parameters that were used to identify tissue-level thresholds for BSCB injury using logistic regression analysis. Thirteen mechanical parameters, including measures of stress, strain, and strain rate were investigated as predictors of BSCB injury. Maximum principal strain (LEP) was considered the best predictor of injury in the gray matter, while von Mises strain (LEVM) was the best predictor of injury in the white matter, although the LEVM thresholds for white matter included relatively substantial error compared to the thresholds for gray matter. The results can be used to improve means and measures of preventing spinal cord injury in humans, define loading conditions for in vitro models of injury, and design new experimental models that produce specific patterns of injury.iv

show abstract

Finite-element models of the human head

Cited by 123 publications

References 16 publications

The Mechanics of Traumatic Brain Injury: A Review of What We Know and What We Need to Know for Reducing Its Societal Burden

The Mechanics of Traumatic Brain Injury: A Review of What We Know and What We Need to Know for Reducing Its Societal Burden

Influence of FE model variability in predicting brain motion and intracranial pressure changes in head impact simulations

In Vivo Tissue-Level Thresholds for Spinal Cord Injury

Contact Info

Product

Resources

About