In situ ultrasound imaging of shear shock waves in the porcine brain

TL;DR

This study demonstrates high-speed ultrasound imaging of shear shock waves in the in situ porcine brain during impact, revealing detailed motion and acceleration data that align with theoretical models, advancing understanding of traumatic brain injury mechanisms.

Contribution

The paper introduces a novel ultrasound imaging method capable of capturing shear shock waves in the brain during impact with high temporal resolution and accuracy.

Findings

Shear shock waves reach accelerations of 102g inside the brain.

Ultrasound measurements agree with theoretical predictions.

The method enables detailed observation of rapid brain motion during impact.

Abstract

Using high frame-rate ultrasound and high sensitivity motion tracking, we recently showed that shear waves sent to the ex vivo porcine brain develop into shear shock waves with destructive local accelerations inside the brain which may be a key mechanism behind deep traumatic brain injuries. Direct measurement of brain motion at an adequate frame-rate during impacts has been a persistent challenge. Here we present the ultrasound observation of shear shock waves in the acoustically challenging environment of the in situ porcine brain during a single-shot impact. The brain was attached to a plate source which was vibrated at a moderate amplitude of 25g, to propagate a 40 Hz shear wave into the brain. Simultaneously, images of the moving brain were acquired at 2193 images/s, using a custom imaging sequence with 8 interleaved ultrasound transmit-receive events, designed to accurately track shear shocks. To achieve a long field-of-view, wide-beam emissions were designed using time-reversal ultrasound simulations and no compounding was used to avoid motion blurring. A peak acceleration of 102g was measured at the shock-front, 7.1 mm deep inside the brain. It is also shown that experimental shear velocity, acceleration, and strain-rate waveforms in brain are in excellent agreement with theoretical predictions from a custom higher-order finite volume method hence demonstrating the capabilities to measure rapid brain motion even in the presence of strong acoustical reverberations from the porcine skull.