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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >A New Dynamic Complex Baseband Pulse Compression Method for Chirp-Coded Excitation in Medical Ultrasound Imaging
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A New Dynamic Complex Baseband Pulse Compression Method for Chirp-Coded Excitation in Medical Ultrasound Imaging

机译：超声编码中Chi编码激励的动态复基带脉冲压缩新方法

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摘要

Chirp-coded excitation can increase the signal-to-noise ratio (SNR) without degrading the axial resolution. Effective pulse compression (PC) is important to maintain the axial resolution and can be achieved with radio frequency (RF) and complex baseband (CBB) data (i.e., PCRF and PCCBB, respectively). PCCBB can further reduce the computational complexity compared to PCRF; however, PCCBB suffers from a degraded SNR due to tissue attenuation. In this paper, we propose a new dynamic CBB PC method (PCCBB-Dynamic) that can improve the SNR while compensating for tissue attenuation. The compression filter coefficients in the PCCBB-Dynamic method are generated by dynamically changing the demodulation frequencies along with the depth. For PC, the obtained PCCBB-Dynamic coefficients are independently applied to the in-phase and quadrature components of the CBB data. To evaluate the performance of the proposed method, simulation, phantom, and in vivo studies were conducted, and all three studies showed improved SNR, i.e., maximally 3.87, 7.41, and 5.75 dB, respectively. In addition, the measured peak range sidelobe level of the proposed method yielded lower values than the PCRF and PCCBB, and it also derived a suitable target location, i.e., a <;0.07-mm target location error, while maintaining the axial resolution. In an in vivo abdominal experiment, the PCCBB-Dynamic method depicted brighter and clearer features in the hyperechoic region because highly correlated signals were produced by compensating for tissue attenuation. These results demonstrated that the proposed method can improve the SNR of chirp-coded excitation while preserving the axial resolution and the target location and reducing the computational complexity.
机译：线性调频编码的激励可以提高信噪比（SNR），而不会降低轴向分辨率。有效的脉冲压缩（PC）对于保持轴向分辨率很重要，可以通过射频（RF）和复杂的基带（CBB）数据（即PC RF 和PC CBB ）。与PC RF 相比，PC CBB 可以进一步降低计算复杂度；然而，由于组织衰减，PC CBB 的信噪比降低。在本文中，我们提出了一种新的动态CBB PC方法（PC CBB -Dynamic），它可以在补偿组织衰减的同时提高SNR。 PC CBB -Dynamic方法中的压缩滤波器系数是通过动态改变解调频率和深度而生成的。对于PC，将获得的PC CBB -动态系数独立应用于CBB数据的同相和正交分量。为了评估所提出方法的性能，进行了仿真，体模和体内研究，所有这三项研究均显示出改善的SNR，即最大分别为3.87、7.41和5.75 dB。此外，所提出方法的测得峰范围旁瓣电平产生的值低于PC RF 和PC CBB ，并且还得出了合适的目标位置，即<; 0.07-mm目标位置误差，同时保持轴向分辨率。在体内腹部实验中，PC CBB -Dynamic方法在高回声区域显示出更亮，更清晰的特征，因为通过补偿组织衰减产生了高度相关的信号。这些结果表明，该方法可以提高线性调频编码激励的信噪比，同时保留轴向分辨率和目标位置，并降低计算复杂度。

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