Zhang Haichong K, Bell Muyinatu A Lediju, Guo Xiaoyu, Kang Hyun Jae, Boctor Emad M
Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, 21218, USA;
Department of Computer Science, The Johns Hopkins University, Baltimore, Maryland, 21218, USA; Department of Electrical and Computer Engineering, The Johns Hopkins University, Baltimore, Maryland, 21218, USA.
Biomed Opt Express. 2016 Jul 19;7(8):3056-68. doi: 10.1364/BOE.7.003056. eCollection 2016 Aug 1.
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.
光声(PA)成像已被开发用于各种临床和临床前应用,获取波束形成前的通道数据对于重建这些图像是必要的。然而,访问这些波束形成前的通道数据需要定制硬件来实现并行波束形成,并且仅适用于有限数量的研究型超声平台。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,该方法使用超声波束形成后的射频(RF)数据而非原始通道数据,因为这种类型的数据在临床和研究型超声系统中都很容易获得。在我们提出的基于合成孔径的光声重波束形成(SPARE)方法中,将临床超声扫描仪的波束形成后RF数据视为自适应合成孔径波束形成算法的输入数据。在获取这些数据之前应用接收聚焦时,将焦点视为虚拟元件,并假设在虚拟元件处接收到光声信号来实现合成孔径波束形成。将所提出方法获得的分辨率和信噪比与传统延迟求和波束形成获得的结果进行比较,一致性分别为99.87%和91.56%。此外,我们通过脉冲激光二极管设置实验证明了其可行性。结果表明,任何市售超声平台的波束形成后RF数据都有可能用于创建PA图像。