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Synthetic-aperture based photoacoustic re-beamforming (SPARE) approach using beamformed ultrasound data

机译：使用波束形成的超声数据的基于合成孔径的光声重波束形成（SPARE）方法

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摘要

Photoacoustic (PA) imaging has been developed for various clinical and pre-clinical applications, and acquiring pre-beamformed channel data is necessary to reconstruct these images. However, accessing these pre-beamformed channel data requires custom hardware to enable parallel beamforming, and is available for a limited number of research ultrasound platforms. To broaden the impact of clinical PA imaging, our goal is to devise a new PA reconstruction approach that uses ultrasound post-beamformed radio frequency (RF) data rather than raw channel data, because this type of data is readily available in both clinical and research ultrasound systems. In our proposed Synthetic-aperture based photoacoustic re-beamforming (SPARE) approach, post-beamformed RF data from a clinical ultrasound scanner are considered as input data for an adaptive synthetic aperture beamforming algorithm. When receive focusing is applied prior to obtaining these data, the focal point is considered as a virtual element, and synthetic aperture beamforming is implemented assuming that the photoacoustic signals are received at the virtual element. The resolution and SNR obtained with the proposed method were compared to that obtained with conventional delay-and-sum beamforming with 99.87% and 91.56% agreement, respectively. In addition, we experimentally demonstrated feasibility with a pulsed laser diode setup. Results indicate that the post-beamformed RF data from any commercially available ultrasound platform can potentially be used to create PA images.
机译：已经开发了用于各种临床和临床前应用的光声（PA）成像，并且获取预先束化的通道数据对于重建这些图像是必需的。但是，访问这些预波束形成的通道数据需要自定义硬件以启用并行波束形成，并且可用于有限数量的研究超声平台。为了扩大临床PA成像的影响，我们的目标是设计一种新的PA重建方法，该方法使用超声束后波束形成的射频（RF）数据而不是原始通道数据，因为此类数据在临床和研究中均很容易获得。超声系统。在我们提出的基于合成孔径的光声重波束形成（SPARE）方法中，来自临床超声扫描仪的后波束形成的RF数据被视为自适应合成孔径波束形成算法的输入数据。当在获取这些数据之前应用接收聚焦时，将焦点视为虚拟元素，并假设在虚拟元素处接收到光声信号，则将执行合成孔径波束成形。将所提方法获得的分辨率和SNR与常规延迟和求和波束形成分别以99.87％和91.56％的一致性进行比较。此外，我们通过实验证明了脉冲激光二极管设置的可行性。结果表明，来自任何可商购的超声平台的束流化后的RF数据都可以潜在地用于创建PA图像。

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