Optical characterization of acceleration-induced strain fields in inhomogeneous brain slices.

The aim of this study was to measure high-resolution strain fields in planar sections of brain tissue during translational acceleration to obtain validation data for numerical simulations. Slices were made from fresh, porcine brain tissue, and contained both grey and white matter as well as the complex folding structure of the cortex. The brain slices were immersed in artificial cerebrospinal fluid (aCSF) and were encapsulated in a rigid cavity representing the actual shape of the skull. The rigid cavity sustained an acceleration of about 900m/s(2) to a velocity of 4m/s followed by a deceleration of more than 2000m/s(2). During the experiment, images were taken using a high-speed video camera and Von Mises strains were calculated using a digital image correlation technique. The acceleration of the sampleholder was determined using the same digital image correlation technique. A rotational motion of the brain slice relative to the sampleholder was observed, which may have been caused by a thicker posterior part of the slice. Local variations in the displacement field were found, which were related to the sulci and the grey and white matter composition of the slice. Furthermore, higher Von Mises strains were seen in the areas around the sulci.

[1]  Hans von Holst,et al.  CONSEQUENCES OF BRAIN SIZE FOLLOWING IMPACT IN PREDICTION OF SUBDURAL HEMATOMA EVALUATED WITH NUMERICAL TECHNIQUES , 2001 .

[2]  King H. Yang,et al.  Investigation of Head Injury Mechanisms Using Neutral Density Technology and High-Speed Biplanar X-ray. , 2001, Stapp car crash journal.

[3]  R. Pudenz,et al.  The Lucite Calvarium—A Method for Direct Observation of the Brain: II. Cranial Trauma and Brain Movement , 1946 .

[4]  D. Narmoneva,et al.  Nonuniform swelling-induced residual strains in articular cartilage. , 1999, Journal of biomechanics.

[5]  G. Genin,et al.  Measurement of strain in physical models of brain injury: a method based on HARP analysis of tagged magnetic resonance images (MRI). , 2004, Journal of biomechanical engineering.

[6]  Ho-Sung Kang,et al.  Three-Dimensional Human Head Finite-Element Model Validation Against Two Experimental Impacts , 1999, Annals of Biomedical Engineering.

[7]  D C Viano,et al.  Influence of the lateral ventricles and irregular skull base on brain kinematics due to sagittal plane head rotation. , 2002, Journal of biomechanical engineering.

[8]  A. King,et al.  Comparison of brain responses between frontal and lateral impacts by finite element modeling. , 2001, Journal of neurotrauma.

[9]  D. Arola,et al.  Applications of digital image correlation to biological tissues. , 2004, Journal of biomedical optics.

[10]  P V Bayly,et al.  Deformation of the human brain induced by mild acceleration. , 2005, Journal of neurotrauma.

[11]  Guy M Genin,et al.  In vivo imaging of rapid deformation and strain in an animal model of traumatic brain injury. , 2006, Journal of biomechanics.

[12]  R.J.H. Cloots,et al.  Biomechanics of Traumatic Brain Injury: Influences of the Morphologic Heterogeneities of the Cerebral Cortex , 2008, Annals of Biomedical Engineering.

[13]  T A Gennarelli,et al.  Physical model simulations of brain injury in the primate. , 1990, Journal of biomechanics.

[14]  P. Bovendeerd,et al.  Design and numerical implementation of a 3-D non-linear viscoelastic constitutive model for brain tissue during impact. , 2004, Journal of biomechanics.

[15]  M. Prange,et al.  Regional, directional, and age-dependent properties of the brain undergoing large deformation. , 2002, Journal of biomechanical engineering.

[16]  T A Gennarelli,et al.  Biomechanical analysis of experimental diffuse axonal injury. , 1995, Journal of neurotrauma.

[17]  W. F. Ranson,et al.  Applications of digital-image-correlation techniques to experimental mechanics , 1985 .

[18]  J. van Dommelen,et al.  The mechanical behaviour of brain tissue: large strain response and constitutive modelling. , 2006, Biorheology.

[19]  J. Langlois,et al.  Traumatic brain injury in the United States; emergency department visits, hospitalizations, and deaths , 2006 .

[20]  R. Pudenz,et al.  The lucite calvarium; a method for direct observation of the brain; cranial trauma and brain movement. , 1946, Journal of neurosurgery.

[21]  W. H. Peters,et al.  Application of an optimized digital correlation method to planar deformation analysis , 1986, Image Vis. Comput..

[22]  D C Viano,et al.  Strain relief from the cerebral ventricles during head impact: experimental studies on natural protection of the brain. , 2000, Journal of biomechanics.

[23]  G W M Peters,et al.  Towards a reliable characterisation of the mechanical behaviour of brain tissue: The effects of post-mortem time and sample preparation. , 2007, Biorheology.

[24]  T A Gennarelli,et al.  The Nature, Distribution and Causes of Traumatic Brain Injury , 1995, Brain pathology.

[25]  Jac S H M Wismans,et al.  On the potential importance of non-linear viscoelastic material modelling for numerical prediction of brain tissue response: test and application. , 2002, Stapp car crash journal.

[26]  Scott Tashman,et al.  Investigation of brain injury kinematics: Introduction of a new technique , 1997 .

[27]  Philippe Vezin,et al.  Comparison of Hybrid III, Thor-alpha and PMHS Response in Frontal Sled Tests. , 2002, Stapp car crash journal.

[28]  Jac Wismans,et al.  MODELING OF THE HUMAN HEAD UNDER IMPACT CONDITIONS: A PARAMETRIC STUDY , 1997 .