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Source Density Apodization: Image Artifact Suppression Through Source Pitch Nonuniformity

机译:源密度切趾:通过源音高不均匀性抑制图像伪像

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Conventional ultrasound imaging probes typically comprise finite-sized arrays of periodically spaced transducer elements which, in the case of phased arrays, can result in severe grating and sidelobe artifacts. Whereas side lobes can be effectively suppressed through amplitude apodization ("AmpA"), grating lobes arising from periodicity in transducer placement can only be suppressed by decreasing the element pitch, which is technologically challenging and costly. In this work, we present source density apodization ("SDA") as an alternative apodization scheme, where the spatial source density (and, hence, the element pitch) is varied across the imaging aperture. Using an all-optical ultrasound imaging setup capable of video-rate 2-D imaging as well as dynamic and arbitrary reconfiguration of the source array geometry, we show both numerically and experimentally how SDA and AmpA are equivalent for large numbers of sources. For low numbers of sources, SDA is shown to yield superior image quality as both side and grating lobes are effectively suppressed. In addition, we demonstrate how asymmetric SDA schemes can be used to locally and dynamically improve the image quality. Finally, we demonstrate how a nonsmoothly varying spatial source density (such as that obtained for randomized arrays or in the presence of source positioning uncertainty or inaccuracy) can yield severe image artifacts. The application of SDA can, thus, yield high image quality even for low channel counts, which can ultimately result in higher imaging frame rates using acquisition systems of reduced complexity.
机译:常规的超声成像探针通常包括周期性间隔的换能器元件的有限尺寸的阵列,在相控阵列的情况下,其可能导致严重的光栅和旁瓣伪像。尽管可以通过振幅切趾(“ AmpA”)有效地抑制旁瓣,但是只能通过减小元件间距来抑制由换能器放置中的周期性引起的光栅瓣,这在技术上具有挑战性,而且价格昂贵。在这项工作中,我们提出了一种替代的切趾方案,即源密度切趾法(“ SDA”),其中空间源密度(以及元素间距)在整个成像孔径上是变化的。使用能够进行视频速率2D成像以及源阵列几何形状的动态和任意重新配置的全光学超声成像设置,我们通过数值和实验方式展示了SDA和AmpA对于大量源是如何等效的。对于少量光源,由于有效抑制了旁瓣和光栅瓣,因此SDA被证明可产生出色的图像质量。此外,我们演示了如何将非对称SDA方案用于本地动态地改善图像质量。最后,我们证明了非平稳变化的空间源密度(例如为随机阵列获得的或在源定位不确定或不准确的情况下获得的)如何产生严重的图像伪影。因此,即使在通道数较少的情况下,SDA的应用也可以产生高质量的图像,这最终会导致复杂度降低的采集系统获得更高的成像帧速率。

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