| 基于CUDA的声辐射力弹性成像算法研究 |
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| 引用本文： | 曾 博,雷友诚,王丛知,邱维宝,冯 歌,曾成志,杨 戈,郑海荣. 基于CUDA的声辐射力弹性成像算法研究[J]. 计算机工程与应用, 2015, 51(18): 249-254 |
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| 作者姓名： | 曾 博 雷友诚 王丛知 邱维宝 冯 歌 曾成志 杨 戈 郑海荣 |
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| 作者单位： | 1.湖南大学 电气与信息工程学院，长沙 4100822.中国科学院 深圳先进技术研究院，广东 深圳 518055 |
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| 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。
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| 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 |
CUDA-based acoustic radiation force imaging algorithm |
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| ZENG Bo,LEI Youcheng,WANG Congzhi,QIU Weibao,FENG Ge,ZENG Chengzhi,YANG Ge,ZHENG Hairong. CUDA-based acoustic radiation force imaging algorithm[J]. Computer Engineering and Applications, 2015, 51(18): 249-254 |
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| Authors: | ZENG Bo LEI Youcheng WANG Congzhi QIU Weibao FENG Ge ZENG Chengzhi YANG Ge ZHENG Hairong |
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| Affiliation: | 1.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China2.Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong 518055, China |
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| 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. |
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| Keywords: | 2D acoustic radiation force imaging Compute Unified Device Architecture（CUDA） Graphic Processing Unit（GPU） parallel computation algorithm |
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