On the clinical ultrasound real-time imaging system, tissue motion will be the important diagnostic information for doctors, such as cardiac motion analysis. In this paper, one motion visualization method based on line integral convolution (LIC) is studied. This method could show the vector field information about both direction and intensity. However because of the massive computation involved in this filter technique, especially in streamline tracking, it has been the bottleneck for the clinical real-time imaging system. In this paper, a new parallel algorithm of motion visualization based on Fermi GPU (graphics processing unit) is presented. Test results 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 be 237 times faster than the CPU implementation with the long LIC filter (L=7) for the image size (260×260).