论文标题
实时光声断层扫描图像重建的FPGA加速度
FPGA Acceleration of Image Reconstruction for Real-Time Photoacoustic Tomography
论文作者
论文摘要
光声（PA）成像已广泛应用于临床前和临床应用。随着数据采集渠道数量的显着增加，实时PA成像的快速和高质量图像重建是该社区的一个开放挑战。在本文中，我们提出了一种FPGA加速方法，与使用CPU相比，将图像重建速度提高了20〜60倍，其系统成本和功率预算大量减少，从数十瓦（CPU）到1〜2瓦（FPGA）。同等地，能源效率比（EER）提高了约1000倍。这种FPGA加速度方法可以很容易地适应最广泛使用的算法，例如延迟和-AM（DAS）及其变体（例如DMA，DAS-CF）。我们已经进行了体内的人手指实验，以证明所提出的方法的可行性和潜力。据我们所知，这是基于FPGA平台加速PA图像重建的首次研究。
Photoacoustic (PA) imaging has been widely applied in both preclinical and clinical applications. With a significantly increasing number of data acquisition channels, fast and high-quality image reconstruction for real-time PA imaging is an open challenge in this community. In this paper, we propose a FPGA-accelerated method to achieve a much faster image reconstruction speed by 20~60 times compared with using CPU, with much-reduced system cost and power budget, from dozens of Watt (CPU) to 1~2 Watt (FPGA). Equivalently, the energy efficiency ratio (EER) is improved by ~1000 times. This FPGA acceleration method can be easily adapted to the most widely used algorithms, such as delay-and-sum (DAS) and its variants (e.g. DMAS, DAS-CF). We have performed in-vivo human finger experiments to demonstrate the feasibility and potential of the proposed method. To our best knowledge, this is the first study of accelerating PA image reconstruction based on FPGA platform.
