超声成象中栅瓣抑制的填补法：原理与模拟结果。
Gap-filling method for suppressing grating lobes in ultrasound imaging: Theory and simulation results.
机构信息
Department of Physiology and Biomedical Engineering, Mayo Clinic College of Medicine and Science, 200 First Street Southwest, Rochester, Minnesota 55905, USA.
Department of Radiology, Mayo Clinic College of Medicine and Science, 200 First Street Southwest, Rochester, Minnesota 55905,
出版信息
J Acoust Soc Am. 2019 Mar;145(3):EL236. doi: 10.1121/1.5094337.
Sparse array (SA) is an approach to reduce the number of system channels. However, SA suffers from grating lobe (GL) artefacts due to the sparsity of array aperture resulting in degradation of the ultrasound image quality. Based on a given or known data sets of radio frequency (RF) echo acquired from active elements of an array, RF echo data in unknown and/or inactive elements of array can be created virtually and used to suppress the GL artefact in SA. This letter presents gap-filling (GF) approaches to generate channel data, which are not physically acquired. It is demonstrated that the proposed GF technique can reduce the artefacts of SA by filling the gaps in the array aperture. Simulation results show that the GF technique can suppress the GL level of SA by up to 16 dB. Also, the GF technique can improve the image quality of fully sampled arrays with small number of active elements.
稀疏阵（SA）是一种减少系统通道数的方法。然而，由于阵列孔径的稀疏性，SA 会产生栅瓣（GL）伪像，从而降低超声图像质量。基于从阵列的有源元件获得的给定或已知的射频（RF）回波数据集，可以虚拟地创建阵列中未知和/或非活动元件的 RF 回波数据，并用于抑制 SA 中的 GL 伪像。本函数字母提出了用于生成通道数据的间隙填充（GF）方法，这些通道数据不是物理采集的。结果表明，所提出的 GF 技术可以通过填充阵列孔径中的间隙来减少 SA 的伪像。仿真结果表明，GF 技术可以将 SA 的 GL 电平抑制高达 16dB。此外，GF 技术可以提高具有少量有源元件的全采样阵列的图像质量。
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