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

  • Sandhya Chandrasekaran
  • , Francisco Santibanez
  • , Bharat B. Tripathi
  • , Ryan DeRuiter
  • , Ruth Vorder Bruegge
  • , Gianmarco Pinton

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

7 Citations (Scopus)

Abstract

Direct measurement of brain motion at high spatio-temporal resolutions during impacts has been a persistent challenge in brain biomechanics. Using high frame-rate ultrasound and high sensitivity motion tracking, we recently showed shear waves sent to the ex vivo porcine brain developing into shear shock waves with destructive local accelerations inside the brain, which may be a key mechanism behind deep traumatic brain injuries. 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 with sinusoidal and haversine time profiles. The brain was impacted to generate surface amplitudes of 25–33g, and to propagate a 40–50 Hz shear waves into the brain. Simultaneously, images of the moving brain were acquired at 2193 images/s, using a custom sequence with 8 interleaved ultrasound propagation events. For a long field-of-view, wide-beam emissions were designed using time-reversal ultrasound simulations and no compounding was used to avoid motion blurring. For a 40 Hz, 25g sinusoidal impact, a shock-front acceleration of 102g was measured 7.1 mm deep inside the brain. Using a haversine pulse that models a realistic impact more closely, a shock acceleration of 113g was observed 3.0 mm inside the brain, from a 50 Hz, 33g excitation. The experimental velocity, acceleration, and strain-rate waveforms in brain for the monochromatic impact are shown to be in excellent agreement with theoretical predictions from a custom higher-order finite volume method hence demonstrating the capabilities to measure rapid brain motion despite strong acoustical reverberations from the porcine skull.

Original languageEnglish
Article number110913
JournalJournal of Biomechanics
Volume134
DOIs
Publication statusPublished - Mar 2022

Keywords

  • Motion tracking
  • RF tracking
  • Shear waves
  • Shock waves
  • Ultrasound imaging

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