Pseudodifferential Models for Ultrasound Waves with Fractional Attenuation

IF 1.9 4区 数学 Q1 MATHEMATICS, APPLIED
Sebastian Acosta, Jesse Chan, Raven Johnson, Benjamin Palacios
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引用次数: 0

Abstract

SIAM Journal on Applied Mathematics, Volume 84, Issue 4, Page 1609-1630, August 2024.
Abstract. To strike a balance between modeling accuracy and computational efficiency for simulations of ultrasound waves in soft tissues, we derive a pseudodifferential factorization of the wave operator with fractional attenuation. This factorization allows us to approximately solve the Helmholtz equation via one-way (transmission) or two-way (transmission and reflection) sweeping schemes tailored to high-frequency wave fields. We provide explicitly the three highest order terms of the pseudodifferential expansion to incorporate the well-known square-root first order symbol for wave propagation, the zeroth order symbol for amplitude modulation due to changes in wave speed and damping, and the next symbol to model fractional attenuation. We also propose wide-angle Padé approximations for the pseudodifferential operators corresponding to these three highest order symbols. Our analysis provides insights regarding the role played by the frequency and the Padé approximations in the estimation of error bounds. We also provide a proof-of-concept numerical implementation of the proposed method and test the error estimates numerically.
具有分数衰减的超声波伪微分模型
SIAM 应用数学杂志》第 84 卷第 4 期第 1609-1630 页,2024 年 8 月。 摘要。为了在模拟软组织中超声波的建模精度和计算效率之间取得平衡,我们推导出了带有分数衰减的波算子的伪微分因式分解。这种因式分解允许我们通过单向(透射)或双向(透射和反射)扫频方案近似求解亥姆霍兹方程,以适应高频波场。我们明确提供了伪微分展开的三个最高阶项,以纳入众所周知的用于波传播的方根一阶符号、用于波速和阻尼变化引起的振幅调制的零阶符号,以及用于模拟分数衰减的下一阶符号。我们还为这三个最高阶符号对应的伪微分算子提出了广角帕代近似。我们的分析为频率和帕代近似在误差边界估计中的作用提供了见解。我们还提供了所提方法的概念验证数值实现,并对误差估计进行了数值测试。
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来源期刊
CiteScore
3.60
自引率
0.00%
发文量
79
审稿时长
12 months
期刊介绍: SIAM Journal on Applied Mathematics (SIAP) is an interdisciplinary journal containing research articles that treat scientific problems using methods that are of mathematical interest. Appropriate subject areas include the physical, engineering, financial, and life sciences. Examples are problems in fluid mechanics, including reaction-diffusion problems, sedimentation, combustion, and transport theory; solid mechanics; elasticity; electromagnetic theory and optics; materials science; mathematical biology, including population dynamics, biomechanics, and physiology; linear and nonlinear wave propagation, including scattering theory and wave propagation in random media; inverse problems; nonlinear dynamics; and stochastic processes, including queueing theory. Mathematical techniques of interest include asymptotic methods, bifurcation theory, dynamical systems theory, complex network theory, computational methods, and probabilistic and statistical methods.
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