P1B-7强聚焦高强度超声的实验与理论研究

V. Goland, L. Kushkuley, S. Mimran, Y. Zadok, S. Ben-Ezra, A. Shalgi, A. Rybianets
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引用次数: 6

摘要

作者建立的强聚焦HIFU模型[2]得到了实验验证。对水负载的1.03 MHz聚焦换能器进行了验证。该传感器由浸在矿物油中的球形压电元件组成,孔径为84 mm,焦距半径为54 mm。首先,在输入功率为10 W的情况下,测量了与焦平面接近且平行的平面内声场分布。利用这些数据,重建了与球面辐射器中心点相切平面上的正态速度分布。该分布被进一步缩放,并作为使用[2]方法计算强场分布的边界条件。第二步,将模型预测结果与不同输出声功率值下的实测声压波形数据进行比较。除了通常提取的压力谐波内容外,通过对压力谐波分布进行角谱展开,得到了粒子速度轴向投影谐波的空间分布,提供了压力和粒子速度谐波之间的联系。对压力正、负峰值、谐波含量以及谐波有效传播角随谐波数的变化规律的预测与实验结果吻合较好。所提出的方法可以基于低强度场分布的测量来准确预测强聚焦HIFU场。
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P1B-7 Experimental and Theoretical Study of Strongly Focused High Intensity Ultrasound
The model developed by the authors for strongly focused HIFU [2] was verified experimentally. The verification was performed for 1.03 MHz focusing transducer loaded by the water. The transducer comprised spherical piezo-element immersed in the mineral oil and had aperture diameter 84 mm. and focal radius 54 mm. At the first step, acoustic field distribution in a plane, which was close and parallel to the focal plane, was measured at 10 W of input electric power. Using this data, the normal velocity distribution over the plane which is tangent to the centre point of the spherical radiator was reconstructed. This distribution was further scaled and served as boundary conditions for calculation of high intensity field distribution using approach described in [2]. At the second step the model predictions were compared with the data extracted from the acoustical pressure waveforms measured for different values of the output acoustic power. In addition to usually extracted pressure harmonic content, the spatial distributions of harmonics of on-axis projection of particle velocity have been obtained from pressure harmonic distributions with the angle spectrum expansion, providing connection between pressure and particle velocity harmonics. The predictions of the pressure positive and negative peaks, harmonic content and dependence of the harmonic effective propagation angle on the harmonic number fitted closely the corresponding experimental results. The proposed approach allows accurate prediction of strongly focused HIFU fields based on the measurements of low-intensity field distributions.
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