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arXiv · 2003.06446

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

Abstract

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.

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Sandhya Chandrasekaran, Bharat B. Tripathi, David Espíndola, Gianmarco F. Pinton. 2020-03-13. Modeling ultrasound propagation in the moving brain: applications to shear shock waves and traumatic brain injury. https://arxiv.org/abs/2003.06446

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