摘要
Abstract
Ultrasound strain imaging is a brand new imaging mode in the high-end ultrasound imaging system. It can detect and calcu-late the stiffness of tissues and organs while the traditional imaging mode cant like B-mode and color mode. This new-style imaging mode will help doctors qualitatively detect the changes in tissue elasticity and obtain much more precise quantitative information of the variance of tissue and organ stiffness. Thus, there are significant meanings in clinical application. However, because of the massive computation involved in the current ultrasound elasticity imaging system, it will be hard and costly to implement with the traditional processing platform- In this paper, a new algorithm of ultrasound elasticity imaging based on CUDACCompute Unified Device Architecture) parallel processing platform is pres-ented. This method mainly includes the following parallel procedures such as pre-processing,motion calculation, strain estimation, post-pro-cessing and so on. Test results from the elastic phantom data,not only show the output of graphics processing unit (GPU) is definitely the same as the one of CPU, but also demonstrate the obvious speedup using GPU, that is,it can achieve 63fps for the data size(256 beam lines, 512 sample points) which is 85 times faster than the CPU implementation.关键词
高性能并行计算/超声弹性成像/图形处理器/图像并行处理算法Key words
high performance parallel processing/ultravsound strain Imaging/GPU/parallel algorithm for image processing分类
信息技术与安全科学
