arXiv subjects

Sandhya Chandrasekaran

Publications and source records attributed to Sandhya Chandrasekaran.

3 recordsLinked to original sources

arXiv2021

Super-resolved shear shock focusing in the human head

Shear shocks, which exist in a completely different regime from compressional shocks, were recently observed in the brain. These low phase speed ($\approx$ 2 m/s) high Mach number ($\approx$ 1) waves could be the primary mechanism behind diffuse axonal injury due to a very high local acceleration at the shock front. The extreme nonlinearity of these waves results in unique behaviors that are different from more commonly studied nonlinear compressional waves. Here we show the first observation of super-resolved shear shock wave focusing. Shear shock wave imaging and numerical simulations in a human head phantom over a range of frequencies/amplitudes shows the super-resolution of shock waves in the low strain and high strain-rate regime. These results suggest that even for mild accelerations injuries as small as a grain of rice on the scale of mm$^2$ can be easily created deep inside the brain.

physics.med-ph↗

arXiv2021

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

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.

physics.med-ph↗

arXiv2020

Modeling ultrasound propagation in the moving brain: applications to shear shock waves and traumatic brain injury

Traumatic brain injury studies on the living human brain are experimentally infeasible. We present a simulation approach that models ultrasound propagation in the human brain while it is moving due to the complex shear shock wave deformation from a traumatic impact. Finite difference simulations can model ultrasound propagation in complex media such as human tissue. Recently, we have shown that a finite difference approach can be used to represent displacements that are much smaller than the grid size, such as the motion encountered in shear wave propagation from ultrasound elastography. However, this subresolution displacement model, called impedance flow, was only implemented and validated for acoustical media composed of randomly distributed scatterers. Here we propose a generalization of the impedance flow method that describes the continuous subresolution motion of structured acoustical maps, and in particular of acoustical maps of the human brain. It is shown that the average error in the subresolution displacement method is small compared to the wavelength. The method is applied to acoustical maps of a moving human brain, imposed by the propagation of a shear shock wave. Then the Fullwave simulation tool is used to model transmit-receive imaging sequences based on an L7-4 imaging transducer. The simulated radiofrequency data is beamformed using a conventional delay-and-sum method and a normalized cross-correlation method designed for shock wave tracking is used to determine the tissue motion. It is shown that the proposed generalized impedance flow method accurately captures the shear shock wave motion. This method can lead to improvements in image sequence design that takes into account the aberration and multiple reflections from the brain and in the design of tracking algorithms that can more accurately capture the complex brain motion that occurs during a traumatic impact.

physics.med-ph↗