Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (18): 249-254.

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CUDA-based acoustic radiation force imaging algorithm

ZENG Bo1,2, LEI Youcheng1, WANG Congzhi2, QIU Weibao2, FENG Ge2, ZENG Chengzhi2, YANG Ge2, ZHENG Hairong2   

  1. 1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China
    2.Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China
  • Online:2015-09-15 Published:2015-10-13

基于CUDA的声辐射力弹性成像算法研究

曾  博1,2,雷友诚1,王丛知2,邱维宝2,冯  歌2,曾成志2,杨  戈2,郑海荣2   

  1. 1.湖南大学 电气与信息工程学院,长沙 410082
    2.中国科学院 深圳先进技术研究院,广东 深圳 518055

Abstract: Acoustic Radiation Force Imaging(ARFI) is a novel method of tissue stiffness estimation. Compared with other conventional ultrasound methods, ARFI is quantitative and less operator dependent. However, current ARFI still cannot provide quasi-real-time 2D images since its algorithm is data-intensive and time-consuming. In order to obtain real-time 2D ARFI image, a new ARFI algorithm which is suitable for parallel computation on GPU is put forward and accomplished. According to the results, a high accelerate ratio has been obtained between GPU and CPU. Comparison of the quality of stiffness mapping images obtained by both CPU and GPU is also performed on a self-made phantom, and it is found that there is no distinct difference between the images.

Key words: 2D acoustic radiation force imaging, Compute Unified Device Architecture(CUDA), Graphic Processing Unit(GPU), parallel computation algorithm

摘要: 声辐射力弹性成像是一种新的测量组织硬度的超声成像方法。不同于其他超声组织弹性成像方法,声辐射力弹性成像能够定量测量组织的弹性模量数值,并且具有对操作者经验依赖性低的特点。然而,由于成像算法数据处理量大,运算时间长,声辐射力弹性成像还无法进行准实时的二维成像。为了获得实时的二维声辐射力弹性图像,提出并实现了一种适合于在GPU上并行计算的声辐射力弹性成像算法。通过与运行在CPU上的原始声辐射力弹性成像算法进行对比,证明在GPU上实现的算法大幅度地提高了运算速度。在自制弹性仿体上,比较了基于GPU和CPU两种算法所成的二维弹性分布图像的质量,结果证明两者的图像质量没有明显差异。

关键词: 二维声辐射力弹性成像, 统一计算架构(CUDA), 图形处理器(GPU), 并行算法