论文标题
在移动大脑中建模超声传播:用于剪切冲击波和创伤性脑损伤的应用
Modeling ultrasound propagation in the moving brain: applications to shear shock waves and traumatic brain injury
论文作者
论文摘要
对活着的人脑的创伤性脑损伤研究在实验上是不可行的。我们提出了一种模拟方法,该方法在人脑中的超声传播中建模,同时由于创伤性影响复杂的剪切冲击波变形而移动。有限的差异模拟可以模拟复杂介质(例如人体组织)中的超声传播。最近,我们表明,可以使用有限的差异方法来表示比网格大小要小得多的位移,例如超声弹性图中的剪切波传播中遇到的运动。但是,仅针对由随机分布的散射器组成的声学介质实现并验证了这种称为阻抗流量的子分辨率位移模型。在这里,我们提出了阻抗流方法的概括,该方法描述了结构化声学图的连续子分辨率运动,尤其是人脑的声学图。结果表明,与波长相比,子分辨率位移方法中的平均误差很小。该方法应用于移动的人脑的声学图,这是由于剪切冲击波的传播所施加的。然后,全波模拟工具用于模拟基于L7-4成像传感器的传输接收成像序列。使用常规的延迟和AM方法对模拟的射频数据进行了横向形式,设计用于冲击波跟踪的归一化互相关方法用于确定组织运动。结果表明,所提出的广义阻抗方法准确地捕获了剪切冲击波运动。这种方法可以导致图像序列设计的改进,该设计考虑了大脑的像差和多种反射以及跟踪算法的设计,这些算法可以更准确地捕获创伤性影响期间发生的复杂脑运动。
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.