计算机工程与应用Issue(18)：249-254,265,7.DOI:10.3778/j.issn.1002-8331.1309-0198
基于CUDA的声辐射力弹性成像算法研究
CUDA-based acoustic radiation force imaging algorithm
摘要
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.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Key words
2D acoustic radiation force imaging/Compute Unified Device Architecture(CUDA)/Graphic Processing Unit(GPU)/parallel computation algorithm分类
信息技术与安全科学引用本文复制引用
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,(18):249-254,265,7.基金项目
国家自然科学基金（No.81027006）。 （）
