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三维计算机控制声压扫描和聚焦超声定量。

Three-dimensional computer-controlled acoustic pressure scanning and quantification of focused ultrasound.

机构信息

School of Engineering, The University of Tokyo, Hongo, Tokyo, Japan.

出版信息

IEEE Trans Ultrason Ferroelectr Freq Control. 2010 Apr;57(4):883-91. doi: 10.1109/TUFFC.2010.1492.

Abstract

We propose an automated needle hydrophone-based scanning system to measure high-resolution 3-D acoustic pressure distributions generated by high-intensity focused ultrasound (HIFU). The hardware consists of a host computer, subsystems for HIFU generation, and an oscilloscope to sample the pressure response from a sensor in a water tank. Software was developed to control the hardware subsystems, to search for the initial scan position, and to design the scanning path and volume. A preoperative scanning plan with three perpendicular planes is used to manipulate the position of the HIFU transducer and to automate the acquisition of the spatial acoustic pressure distribution. The post-processing process displays the scanning results, compensates time delays caused by continuous linear scans, and quantifies the focal region. A method to minimize the displacement error induced by the time delay improves the scanning speed of a conventional needle hydrophone-based scanning system. Moreover, a noise-robust, automatic-focus searching algorithm using Gaussian function fitting reduces the total number of iterations and prevents the initial scanning position search from diverging. Finally, the minimum-volume enclosing ellipsoid approximation is used to quantify the size and orientation of the 3-D focal region thresholded by the minimum pressure of interest for various input conditions and to test the reproducibility of the scanning system.

摘要

我们提出了一种基于自动针式水听器的扫描系统,用于测量高强度聚焦超声(HIFU)产生的高分辨率 3D 声压分布。硬件包括一台主机、用于 HIFU 产生的子系统以及一个示波器,用于从水箱中的传感器采样压力响应。开发了软件来控制硬件子系统,寻找初始扫描位置,并设计扫描路径和体积。术前使用三个相互垂直的平面进行扫描计划,以操纵 HIFU 换能器的位置,并实现空间声压分布的自动化采集。后处理过程显示扫描结果,补偿连续线性扫描引起的时间延迟,并量化焦点区域。一种最小化由时间延迟引起的位移误差的方法提高了传统针式水听器扫描系统的扫描速度。此外,使用高斯函数拟合的抗噪自动对焦搜索算法减少了迭代次数,并防止初始扫描位置搜索发散。最后,使用最小体积包络椭球逼近来量化感兴趣的最小压力阈值下的 3D 焦点区域的大小和方向,以测试扫描系统的可重复性。

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