Biomechanics in traumatic brain injury and stroke
When
In the first part of this talk, I will discuss traumatic brain injury (TBI), with a focus on measurement, modeling, and diagnosis. Here we use a combination of wearable sensors, modeling, and neuroimaging techniques to understand how low frequency dynamic motions dominate the brain-skull interaction and that this frequency range coincides with head motions that frequently occur in contact sports. Using detailed finite element simulations, we explored how multi-modal behavior in deeper brain regions, such as corpus callosum, could lead to strain concentration patterns and pathology. In the second segment, I will discuss predicting brain hemodynamics using physics-informed neural networks (PINN), where we employ in vivo real-time transcranial Doppler (TCD) ultrasound velocity measurements at several locations in the brain and baseline vessel cross-sectional areas acquired from 3D magnetic resonance imaging (MRI) angiograms to provide high-resolution maps of velocity, area, and pressure in the entire vasculature. We validate our predictions against in vivo velocity measurements obtained via 4D flow MRI scans.
Place: Math Building, Room 402 and Zoom: : https://arizona.zoom.us/j/89712326534 Password: math