Tabei Makoto, Mast T Douglas, Waag Robert C
Department of Electrical and Computer Engineering, University of Rochester, New York 14627, USA.
J Acoust Soc Am. 2002 Jan;111(1 Pt 1):53-63. doi: 10.1121/1.1421344.
A k-space method for large-scale simulation of ultrasonic pulse propagation is presented. The present method, which solves the coupled first-order differential equations for wave propagation in inhomogeneous media, is derived in a simple form analogous to previous finite-difference methods with staggered spatial and temporal grids. Like k-space methods based on second-order wave equations, the present method is exact for homogeneous media, unconditionally stable for "slow" [c(r) < or = c0] media, and highly accurate for general weakly scattering media. In addition, unlike previous k-space methods, the form of the method allows straightforward inclusion of relaxation absorption and perfectly matched layer (PML) nonreflecting boundary conditions. Numerical examples illustrate the capabilities of the present k-space method. For weakly inhomogeneous media, accurate results are obtained using coarser temporal and spatial steps than possible with comparable finite-difference and pseudospectral methods. The low dispersion of the k-space method allows accurate representation of frequency-dependent attenuation and phase velocity associated with relaxation absorption. A technique for reduction of Gibbs phenomenon artifacts, in which compressibility and exponentially scaled density functions are smoothed by half-band filtering, is introduced. When employed together with this smoothing technique, the k-space method provides high accuracy for media including discontinuities, high-contrast inhomogeneities, and scattering structures smaller than the spatial grid resolution.
提出了一种用于超声脉冲传播大规模模拟的k空间方法。本方法求解非均匀介质中波传播的耦合一阶微分方程,其推导形式简单,类似于先前具有交错时空网格的有限差分方法。与基于二阶波动方程的k空间方法一样,本方法对于均匀介质是精确的,对于“慢”[c(r)≤c0]介质是无条件稳定的,对于一般弱散射介质是高精度的。此外,与先前的k空间方法不同,本方法的形式允许直接纳入弛豫吸收和完全匹配层(PML)无反射边界条件。数值例子说明了本k空间方法的能力。对于弱非均匀介质,使用比可比的有限差分和伪谱方法更粗的时间和空间步长就能获得准确结果。k空间方法的低色散允许准确表示与弛豫吸收相关的频率依赖性衰减和相速度。引入了一种减少吉布斯现象伪影的技术,其中通过半带滤波对可压缩性和指数缩放密度函数进行平滑处理。当与这种平滑技术一起使用时,k空间方法对于包括不连续性、高对比度不均匀性以及小于空间网格分辨率的散射结构的介质具有高精度。