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Logical Inference for Model-Based Reconstruction of Ultrasonic Nonlinearity

机译:基于模型的超声非线性重建逻辑推理

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Quantifying the constitutive nonlinearity parameterβin fluids is of keyinterest for understanding ultrasonic propagation and its wide implications in medicaland industrial applications. However, current methods for ultrasonically measuring itshow large limitations in that the signal is only valid at a reduced and unjustifiedspatial range away from the transducer. This is not consistent with the fact thatβshould be constant everywhere in the fluid and independently of the ultrasonicexperimental setup. To overcome this, the nonlinear wave propagation equations arerigorously derived and the ensuing differential equation is numerically solved. As asecond contribution, the experimental and model information sources are treated underthe information theory context to probabilistically reconstructβ, providing not onlyits value, but also the degree of confidence on it given both sources of data. This methodis satisfactorily validated testing the repeatability ofβin water varying distances,energies, frequencies, and transducer setups, yielding values compatible withβ= 3.5.
机译:量化流体中的本构非线性参数β对于理解超声传播及其在医学和工业应用中的广泛意义至关重要。但是,当前的超声测量方法显示出很大的局限性,因为信号仅在远离换能器的缩小且不合理的空间范围内有效。这与以下事实不一致:β在流体中的任何地方都应恒定并且独立于超声实验装置。为了克服这个问题,严格地推导了非线性波传播方程,并用数值方法求解了随后的微分方程。作为第二贡献,实验和模型信息源在信息论背景下进行了概率重建,不仅提供了它的价值,而且还提供了给定两种数据源时对其的置信度。该方法已令人满意地验证了在不同距离,能量,频率和换能器设置下,β在水中的重复性,得出与β= 3.5兼容的值。

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