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Sum-of-harmonics method for improved narrowband and broadband signal quantification during passive monitoring of ultrasound therapies

机译:谐波总和法,用于在被动监测超声治疗过程中改善窄带和宽带信号量化

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摘要

Passive Acoustic Mapping (PAM) enables real-time monitoring of ultrasound therapies by beamforming acoustic emissions emanating from the ultrasound focus. Reconstruction of the narrowband or broadband acoustic emissions component enables mapping of different physical phenomena, with narrowband emissions arising from non-linear propagation and scattering, non-inertial cavitation or tissue boiling, and broadband (generally, of significantly lower amplitude) indicating inertial cavitation. Currently, accurate classification of the received signals based on pre- defined frequency-domain comb filters cannot be guaranteed because varying levels of leakage occur as a function of signal amplitude and the choice of windowing function. This work presents a time-domain parametric model aimed at enabling accurate estimation of the amplitude of time-varying narrowband components in the presence of broadband signals. Conversely, the method makes it possible to recover a weak broadband signal in the presence of a dominant harmonic or other narrowband component. Compared to conventional comb filtering, the proposed sum-of- harmonics method enables PAM of cavitation sources that better reflect their physical location and extent.
机译:被动声学映射(PAM)通过对从超声焦点发出的声发射进行波束成形,从而实现对超声治疗的实时监控。窄带或宽带声发射分量的重构可以映射不同的物理现象,其中窄带发射是由非线性传播和散射,非惯性空化或组织沸腾以及宽带(通常幅度明显较低)引起的,表示惯性空化。当前,由于基于信号幅度和开窗函数的选择而发生变化的泄漏水平,因此不能保证基于预定义的频域梳状滤波器对接收信号进行准确分类。这项工作提出了一个时域参数模型,旨在在存在宽带信号的情况下准确估算随时间变化的窄带分量的幅度。相反,该方法使得在存在主导谐波或其他窄带分量的情况下恢复弱宽带信号成为可能。与传统的梳状滤波相比,提出的谐波和方法可以使空化源的PAM更好地反映其物理位置和范围。

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