Wu Jibing, Jiao Yang, Zhang Delong, Xu Jie, Yang Chen, Cui Yaoyao
Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163.
University of Chinese Academy of Sciences, Beijing, 100049.
Zhongguo Yi Liao Qi Xie Za Zhi. 2018 Sep 30;42(5):317-320. doi: 10.3969/j.issn.1671-7104.2018.05.002.
Multi-angle plane-wave beamforming algorithm is the basis of ultra-fast ultrasonic imaging. It can be used to improve the imaging frame rate and resolution of traditional focused ultrasound. However, the existing multi-angle plane-wave technology can not satisfy the real-time imaging requirements due to the huge amount of computation required by CPU. In this paper, We proposed a parallel processing method to reduce the computation time based on compute unified device architecture(CUDA). Simulation analysis and contrast experiment were conducted to verify its performance. Experimental results show that the execution time based on GPU is much less than that based on CPU, thus the computational speed is accelerated significantly to satisfy the demand of ultrafast imaging.
多角度平面波波束形成算法是超快速超声成像的基础。它可用于提高传统聚焦超声的成像帧率和分辨率。然而，由于CPU所需的计算量巨大，现有的多角度平面波技术无法满足实时成像要求。本文提出了一种基于计算统一设备架构（CUDA）的并行处理方法来减少计算时间。进行了仿真分析和对比实验以验证其性能。实验结果表明，基于GPU的执行时间远小于基于CPU的执行时间，从而显著加速了计算速度，满足了超快速成像的需求。
