Spatial Response Identification Enables Robust Experimental Ultrasound Computed Tomography
Spatial Response Identification Enables Robust Experimental Ultrasound Computed Tomography
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空间响应识别实现稳健的实验超声计算机断层扫描
DOI：
10.1109/tuffc.2021.3104342
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Cueto C
中科院分区：
文献类型：
--
作者：
Cueto C
超声计算机断层扫描技术有可能为临床医生提供软硬组织（如乳房或成人大脑）的三维、定量和高分辨率信息。它们的实际应用需要对采集设置进行精确建模：每个超声换能器的空间位置、方向和脉冲响应（IR）。然而，现有的校准方法无法准确地表征这些换能器，除非它们的尺寸与主导波长相比可以被认为是可以忽略的，这使得在高对比度组织（如头骨）存在下的信噪比低于可用水平。在本文中，我们介绍了一种可以在一次校准中同时估计超声换能器的位置，方向和红外的方法。我们通过扩展空间响应识别（SRI）来做到这一点，这是我们最近提出的一种用于估计传感器ir的算法。我们提出的方法将采集设备中的换能器替换为替代模型，该模型的有效响应通过拟合波传播的数值模型与实验数据相匹配。这导致了一个灵活而稳健的校准程序，可以准确地预测超声采集设备的行为，而不必知道真正的换能器在哪里或它们的单独IR。使用环形采集系统的实验结果表明，SRI产生的校准质量明显高于所有换能器的标准方法，无论是在传输还是在接收方面。模拟组织的全波形反演（FWI）重建实验表明，SRI产生的重建比使用标准校准技术产生的重建更准确。
Ultrasound computed tomography techniques have the potential to provide clinicians with 3-D, quantitative and high-resolution information of both soft and hard tissues such as the breast or the adult human brain. Their practical application requires accurate modeling of the acquisition setup: the spatial location, orientation, and impulse response (IR) of each ultrasound transducer. However, the existing calibration methods fail to accurately characterize these transducers unless their size can be considered negligible when compared with the dominant wavelength, which reduces signal-to-noise ratios below usable levels in the presence of high-contrast tissues such as the skull. In this article, we introduce a methodology that can simultaneously estimate the location, orientation, and IR of the ultrasound transducers in a single calibration. We do this by extending spatial response identification (SRI), an algorithm that we have recently proposed to estimate transducer IRs. Our proposed methodology replaces the transducers in the acquisition device with a surrogate model whose effective response matches the experimental data by fitting a numerical model of wave propagation. This results in a flexible and robust calibration procedure that can accurately predict the behavior of the ultrasound acquisition device without ever having to know where the real transducers are or their individual IR. Experimental results using a ring acquisition system show that SRI produces calibrations of significantly higher quality than standard methodologies across all transducers, both in transmission and in reception. Experimental full-waveform inversion (FWI) reconstructions of a tissue-mimicking phantom demonstrate that SRI generates more accurate reconstructions than those produced with standard calibration techniques.
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