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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >A new coded-excitation ultrasound imaging system. I. Basicprinciples
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A new coded-excitation ultrasound imaging system. I. Basicprinciples

机译:一种新的编码激励超声成像系统。一,基本原则

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A new approach to ultrasound imaging with coded-excitation isnpresented. The imaging is performed by reconstruction of the scatterernstrength on an assumed grid covering the region of interest (ROI). Ournformulation is based on an assumed discretized signal model whichnrepresents the received sampled data vector as a superposition ofnimpulse responses of all scatterers in the ROI. The reconstructionnoperator is derived from the pseudo-inverse of the linear operatorn(system matrix) that produces the received data vector. The singularnvalue decomposition (SVD) method with appropriate regularizationntechniques is used for obtaining a robust realization of thenpseudo-inverse. Under simplifying (but realistic) assumptions, thenpseudo-inverse operator (PIO) can be implemented using a bank ofntransversal filters with each filter designed to extract echoes from anspecified image line. This approach allows for the simultaneousnacquisition of a large number of image lines. This could be useful innincreasing frame rates for two-dimensional imaging systems or allowingnfor real-time implementation of three-dimensional imaging systems. Whenncompared to the matched filtering approach to similar coded-excitationnsystems, our approach eliminates correlation artifacts that are known tonplague such systems. Furthermore, the lateral resolution of the newnsystem can exceed the diffraction limit imposed on conventional imagingnsystems utilizing delay-and-sum beamformers. The range resolution isncompared to that of conventional pulse-echo systems with resolutionnenhancement (our PIO behaves as a pseudo-inverse Wiener filter in thenrange direction). Both simulation and experimental verification of thesenstatements are given
机译:提出了一种具有编码激励的超声成像新方法。通过在覆盖感兴趣区域(ROI)的假定网格上重建散射强度来执行成像。我们的公式基于假设的离散信号模型,该模型将接收到的采样数据向量表示为ROI中所有散射体的脉冲响应的叠加。重构算子是从产生接收到的数据矢量的线性算子(系统矩阵)的伪逆中导出的。具有适当正则化技术的奇异值分解(SVD)方法用于获得伪伪逆的鲁棒实现。在简化(但现实)的假设下,可以使用一组n个横向滤波器来实现伪逆算子(PIO),每个滤波器都设计为从指定的图像行提取回波。该方法允许同时获取大量图像线。这对于增加二维成像系统的帧速率或允许实时实施三维成像系统可能是有用的。与类似的编码激励系统的匹配滤波方法相比,我们的方法消除了众所周知的相关伪像,而这种伪像会困扰此类系统。此外,新型系统的横向分辨率可能会超过对使用延迟和求和波束形成器的常规成像系统施加的衍射极限。范围分辨率与具有分辨率增强功能的常规脉冲回波系统相比(我们的PIO在范围方向上表现为伪逆维纳滤波器)。给出了陈述的仿真和实验验证

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