论文标题

使用嵌套网格的弱非线性聚焦超声的加速频域数值方法

Accelerating frequency-domain numerical methods for weakly nonlinear focused ultrasound using nested meshes

论文作者

Groth, Samuel P., Gélat, Pierre, Haqshenas, Seyyed R., Saffari, Nader, Wout, Elwin van 't, Betcke, Timo, Wells, Garth N.

论文摘要

弱非线性超声的数值模拟在聚焦超声(FUS)疗法的治疗计划中很重要。但是,重点的大域大小和较高谐波的产生使这些问题在计算上的要求极高。数值方法通常采用均匀的网状网状,以解决问题中存在的最高谐波,从而导致了很大数量的自由度。本文提出了一种更有效的策略,其中每个谐波在单独的网格上近似,其大小与谐波的波长成正比。解决较小波长所需的分辨率的增加是通过域大小的减小来平衡的。由于焦点附近较高的谐波的局部性越来越局部,因此这种嵌套的网缝是可行的。 为了确定准确表示谐波所需的网格大小,对均匀介质中的FUS传感器进行了数值实验。特别是,随着计算域大小的修改,提出并采用了快速\ emph {体积势}方法进行收敛实验。这种方法允许通过评估域上的积分来计算每个谐波。使用中点规则离散此积分,可以通过FFT迅速执行计算。结果表明,通过嵌套的网格划分,至少可以减少记忆消耗和计算时间的数量级。最后,它证明了如何将这种方法推广到不均匀的传播领域。

The numerical simulation of weakly nonlinear ultrasound is important in treatment planning for focused ultrasound (FUS) therapies. However, the large domain sizes and generation of higher harmonics at the focus make these problems extremely computationally demanding. Numerical methods typically employ a uniform mesh fine enough to resolve the highest harmonic present in the problem, leading to a very large number of degrees of freedom. This paper proposes a more efficient strategy in which each harmonic is approximated on a separate mesh, the size of which is proportional to the wavelength of the harmonic. The increase in resolution required to resolve a smaller wavelength is balanced by a reduction in the domain size. This nested meshing is feasible owing to the increasingly localised nature of higher harmonics near the focus. Numerical experiments are performed for FUS transducers in homogeneous media in order to determine the size of the meshes required to accurately represent the harmonics. In particular, a fast \emph{volume potential} approach is proposed and employed to perform convergence experiments as the computation domain size is modified. This approach allows each harmonic to be computed via the evaluation of an integral over the domain. Discretising this integral using the midpoint rule allows the computations to be performed rapidly with the FFT. It is shown that at least an order of magnitude reduction in memory consumption and computation time can be achieved with nested meshing. Finally, it is demonstrated how to generalise this approach to inhomogeneous propagation domains.

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