Abstract:Ultrafast ultrasound imaging is essential for advanced ultrasound imaging techniques such as ultrasound localization microscopy (ULM) and functional ultrasound (fUS). Current ultrafast ultrasound imaging is challenged by the ultrahigh data bandwidth associated with the radio frequency (RF) signal, and by the latency of the computationally expensive beamforming process. As such, continuous ultrafast data acquisition and beamforming remain elusive with existing software beamformers based on CPUs or GPUs. To address these challenges, the proposed work introduces a hybrid solution composed of an improved delay and sum (DAS) algorithm with high hardware efficiency and an ultrafast beamformer based on the field programmable gate array (FPGA). Our proposed method presents two unique advantages over conventional FPGA-based beamformers: 1) high scalability that allows fast adaptation to different FPGA platforms; 2) high adaptability to different imaging probes and applications thanks to the absence of hard-coded imaging parameters. With the proposed method, we measured an ultrafast beamforming frame rate of over 3.38 GPixels/second. The performance of the proposed beamformer was compared with the software beamformer on the Verasonics Vantage system for both phantom imaging and in vivo imaging of a mouse brain. Multiple imaging schemes including B-mode, power Doppler and ULM were evaluated with the proposed solution.