title: Brain injury tolerance limit based on computation of axonal strain.
abstract: Traumatic brain injury (TBI) is the leading cause of death and permanent impairment over the last decades. In both the severe and mild TBIs, diffuse axonal injury (DAI) is the most common pathology and leads to axonal degeneration. Computation of axonal strain by using finite element head model in numerical simulation can enlighten the DAI mechanism and help to establish advanced head injury criteria. The main objective of this study is to develop a brain injury criterion based on computation of axonal strain. To achieve the objective a state-of-the-art finite element head model with enhanced brain and skull material laws, was used for numerical computation of real world head trauma. The implementation of new medical imaging data such as, fractional anisotropy and axonal fiber orientation from Diffusion Tensor Imaging (DTI) of 12 healthy patients into the finite element brain model was performed to improve the brain constitutive material law with more efficient heterogeneous anisotropic visco hyper-elastic material law. The brain behavior has been validated in terms of brain deformation against Hardy et al. (2001), Hardy et al. (2007), and in terms of brain pressure against Nahum et al. (1977) and Trosseille et al. (1992) experiments. Verification of model stability has been conducted as well. Further, 109 well-documented TBI cases were simulated and axonal strain computed to derive brain injury tolerance curve. Based on an in-depth statistical analysis of different intra-cerebral parameters (brain axonal strain rate, axonal strain, first principal strain, Von Mises strain, first principal stress, Von Mises stress, CSDM (0.10), CSDM (0.15) and CSDM (0.25)), it was shown that axonal strain was the most appropriate candidate parameter to predict DAI. The proposed brain injury tolerance limit for a 50% risk of DAI has been established at 14.65% of axonal strain. This study provides a key step for a realistic novel injury metric for DAI.
authors.affiliation: Université de Strasbourg ICube, UNISTRA-CNRS, 2 Rue Boussingault, 67000 Strasbourg, France. Electronic address: deb4uinl@gmail.com.
authors.forename: Debasis
authors.initials: D
authors.lastname: Sahoo
authors.affiliation: Université de Strasbourg ICube, UNISTRA-CNRS, 2 Rue Boussingault, 67000 Strasbourg, France. Electronic address: deck.caroline@gmail.com.
authors.forename: Caroline
authors.initials: C
authors.lastname: Deck
authors.affiliation: Université de Strasbourg ICube, UNISTRA-CNRS, 2 Rue Boussingault, 67000 Strasbourg, France. Electronic address: remy.willinger@unistra.fr.
authors.forename: Rémy
authors.initials: R
authors.lastname: Willinger
mesh_terms: D001369:Axons; D001921:Brain / Q000502:physiology*; D001930:Brain Injuries; D002555:Cerebrospinal Fluid / Q000502:physiology*; D006259:Craniocerebral Trauma; D020833:Diffuse Axonal Injury; D056324:Diffusion Tensor Imaging; D020342:Finite Element Analysis; D006257:Head; D006801:Humans; D016015:Logistic Models; D008962:Models, Theoretical; D011312:Pressure; D012886:Skull / Q000502:physiology*; D013314:Stress, Mechanical
keywords: Axonal strain; Brain injury tolerance limit; Brain modeling; DTI; Head trauma simulation