Predictors of brain injury, such as the head injury criterion, rely on external measurements of head motion. Direct measurements of brain motion could more accurately predict brain injury. Current methods of estimating brain deformation fail to provide the high frame-rates necessary to characterize the fast transient events asso- ciated with traumatic brain injury. We have developed novel ultrasonic methods and motion tracking algorithms that can generate high frame-rate (up to 10,000 images/second) movies that quantify brain motion with a high displacement sensitivity (better than 1 micron). We propose to use this technique to image and quantify shear shock wave propagation in the ex vivo and in vivo brain. Preliminary data is presented, showing for the first time, shear shock wave propagation in the brain. The violent gradients in shear shock waves may tear and damage neurons thus causing diffuse axonal injuries. We propose to characterize the nonlinear properties of the brain and to develop nonlinear simulations of shear shock wave propagation in the brain. We propose animal experiments in conjunction with histological analysis to establish a link between these rapid events and injury. We propose simulations in conjunction with measurements of head acceleration to predict injuries and concussions. If successful, this research could transform how we view the mechanics of trauma in the brain and be applied to traumatic injuries anywhere in the body.

Public Health Relevance

Head acceleration can be easily measured, however its relationship to brain injury is only indirect. We have developed a new high frame-rate ultrasound imaging method that directly measures brain motion. We propose to use this technique to establish a quantitative link between violent brain motion, such as shear shock waves, and traumatic brain injury.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Research Project (R01)
Project #
1R01NS091195-01
Application #
8863091
Study Section
Special Emphasis Panel (NOIT)
Program Officer
Bellgowan, Patrick S F
Project Start
2015-04-01
Project End
2020-03-31
Budget Start
2015-04-01
Budget End
2016-03-31
Support Year
1
Fiscal Year
2015
Total Cost
$325,078
Indirect Cost
$97,100
Name
University of North Carolina Chapel Hill
Department
Biomedical Engineering
Type
Schools of Medicine
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Pinton, Gianmarco F (2017) Subresolution Displacements in Finite Difference Simulations of Ultrasound Propagation and Imaging. IEEE Trans Ultrason Ferroelectr Freq Control 64:537-543
Giammarinaro, B; Coulouvrat, F; Pinton, G (2016) Numerical Simulation of Focused Shock Shear Waves in Soft Solids and a Two-Dimensional Nonlinear Homogeneous Model of the Brain. J Biomech Eng 138:041003