Development of a F.E.M. of the Human Head According to a Specific Test Protocol

Trosseille, Xavier; Tarrière, C; Lavaste, F.; Guillon, François; Dômont, A.

doi:10.4271/922527

Cited by 146 publications

(136 citation statements)

References 4 publications

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“…22 In addition, the model has been successfully validated against relative brain-skull displacement 38,39 and intracranial pressure responses 40,41 from cadaveric experiments, as well as full-field strain responses in a live human volunteer. 42 The overall ''good'' to ''excellent'' validation at the low (*250-300 rad/s 2 for the volunteer), mid (*1.9-2.3 krad/s 2 for impact tests C755-T2 and C383-T1), and high (*11.9 krad/s 2 for test C393-T4) levels of a rot peak magnitudes as well as pressure responses provided important confidence of the accuracy of DHIM-estimated brain responses.…”

Section: The Dartmouth Head Injury Modelmentioning

confidence: 99%

White Matter Injury Susceptibility via Fiber Strain Evaluation Using Whole-Brain Tractography

Zhao

Ford

Flashman

et al. 2016

Journal of Neurotrauma

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Microscale brain injury studies suggest axonal elongation as a potential mechanism for diffuse axonal injury (DAI). Recent studies have begun to incorporate white matter (WM) structural anisotropy in injury analysis, with initial evidence suggesting improved injury prediction performance. In this study, we further develop a tractography-based approach to analyze fiber strains along the entire lengths of fibers from voxel-or anatomically constrained whole-brain tractography. This technique potentially extends previous element-or voxel-based methods that instead utilize WM fiber orientations averaged from typically coarse elements or voxels. Perhaps more importantly, incorporating tractography-based axonal structural information enables assessment of the overall injury risks to functionally important neural pathways and the anatomical regions they connect, which is not possible with previous methods. A DAI susceptibility index was also established to quantify voxel-wise WM local structural integrity and tract-wise damage of individual neural pathways. This ''graded'' injury susceptibility potentially extends the commonly employed treatment of injury as a simple binary condition. As an illustration, we evaluate the DAI susceptibilities of WM voxels and transcallosal fiber tracts in three idealized head impacts. Findings suggest the potential importance of the tractography-based approach for injury prediction. These efforts may enable future studies to correlate WM mechanical responses with neuroimaging, cognitive alteration, and concussion, and to reveal the relative vulnerabilities of neural pathways and identify the most vulnerable ones in real-world head impacts.

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Section: The Dartmouth Head Injury Modelmentioning

confidence: 99%

White Matter Injury Susceptibility via Fiber Strain Evaluation Using Whole-Brain Tractography

Zhao

Ford

Flashman

et al. 2016

Journal of Neurotrauma

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“…The baseline and five variant FE models were used to simulate Trosseille's cadaver impact test [2]. The mechanics of this experiment were more complicated than the cadaver test of Nahum [33], which had been used previously to validate the baseline model [1].…”

Section: Predictions Of Intracranial Pressure During Impactmentioning

confidence: 99%

“…This model was later updated and further tested by Al-Bsharat [25]. Kang et al [26] constructed a 3D model of the head and validated it against the three cadaver tests of Nahum [33], Trosseille [2] and Yoganandan [27] and included a fracture criterion in their model. This model was further tested against motorcycle accident cases.…”

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

187

135

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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.

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“…The THUMS head and cervical spine have previously been validated against multiple cadaver tests. Head responses including acceleration and force, cranial and facial fracture, intracranial pressure, and brain kinematics resulting from impact have been validated (Iwamoto et al 2002(Iwamoto et al , 2007Kimpara et al 2006;Watanabe et al 2012) against multiple experiments (Hardy et al 2001;King et al 2002;Nahum et al 1977;Nyquist et al 1986;Trosseille et al 1992;Yoganandan et al 2004). The THUMS cervical spine has been demonstrated (Chawla et al 2005;Kimpara et al 2006) to replicate the force-displacement response, bony damage, and ligament damage in simulations of direct axial loading (Pintar et al 1995) as well as the torque-angle response in torsional failure tests (Myers et al 1989).…”

Section: Methodsmentioning

confidence: 99%

Sensitivity of Head and Cervical Spine Injury Measures to Impact Factors Relevant to Rollover Crashes

Mattos

McIntosh

Grzebieta

et al. 2015

Traffic Injury Prevention

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Objective: Serious head and cervical spine injuries have been shown to occur mostly independent of one another in pure rollover crashes. In an attempt to define a dynamic rollover crash test protocol that can replicate serious injuries to the head and cervical spine, it is important to understand the conditions that are likely to produce serious injuries to these 2 body regions. The objective of this research is to analyze the effect that impact factors relevant to a rollover crash have on the injury metrics of the head and cervical spine, with a specific interest in the differentiation between independent injuries and those that are predicted to occur concomitantly.Methods: A series of head impacts was simulated using a detailed finite element model of the human body, the Total HUman Model for Safety (THUMS), in which the impactor velocity, displacement, and direction were varied. The performance of the model was assessed against available experimental tests performed under comparable conditions. Indirect, kinematic-based, and direct, tissue-level, injury metrics were used to assess the likelihood of serious injuries to the head and cervical spine.Results: The performance of the THUMS head and spine in reconstructed experimental impacts compared well to reported values. All impact factors were significantly associated with injury measures for both the head and cervical spine. Increases in impact velocity and displacement resulted in increases in nearly all injury measures, whereas impactor orientation had opposite effects on brain and cervical spine injury metrics. The greatest cervical spine injury measures were recorded in an impact with a 15• anterior orientation. The greatest brain injury measures occurred when the impactor was at its maximum (45 • ) angle. Conclusions:The overall kinetic and kinematic response of the THUMS head and cervical spine in reconstructed experiment conditions compare well with reported values, although the occurrence of fractures was overpredicted. The trends in predicted head and cervical spine injury measures were analyzed for 90 simulated impact conditions. Impactor orientation was the only factor that could potentially explain the isolated nature of serious head and spine injuries under rollover crash conditions. The opposing trends of injury measures for the brain and cervical spine indicate that it is unlikely to reproduce the injuries simultaneously in a dynamic rollover test.

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Development of a F.E.M. of the Human Head According to a Specific Test Protocol

Cited by 146 publications

References 4 publications

White Matter Injury Susceptibility via Fiber Strain Evaluation Using Whole-Brain Tractography

White Matter Injury Susceptibility via Fiber Strain Evaluation Using Whole-Brain Tractography

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

Sensitivity of Head and Cervical Spine Injury Measures to Impact Factors Relevant to Rollover Crashes

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