Ultrasonic plane wave imaging is one of the hot topics in the study of ultrasound imaging, but the plane wave ultra-high frequency ultrasound has brought a large amount of data. If these data are transmitted directly through the hardware, it will not only bring a great burden on the hardware, but also put a requirement for the ability of the hardware processing data. In order to reduce the problem caused by the high frame frequency and large amount of data, the data compression methods are used to reduce the amount of data acquisition and transmission. In this paper both lossy compression and lossless compression are studied, where LZW compression algorithm is chosen to test lossless compression effect, and based on the plane wave characteristics, the frequency domain cutting compression algorithm is developed as a lossy compression method. In this paper, the LZW algorithm is implemented in FGPA, and it can achieve a certain compression ratio after testing the ultra sonic simulation data. Under the condition of known fractional bandwidth, it is found that the main bandwidth can be preserved in the spectrum, while the rest of the frequency signal has little effect on the image. By testing the ultrasonic simulation data, the frequency domain cutting algorithm can achieve high compression ratio, and the difference between the original image and the reconstructed image is relatively smal . So from the point of the compression ratio, the frequency domain cutting algorithm is the primary choice of the ultrasonic data compression algorithm.

In order to facilitate doctors to better obtain cardiovascular images by using intravascular ultrasound imaging system and make a more accurate diagnosis, a digital coordinate conversion method of intravascular ultrasound imaging system based on CORDIC algorithm is proposed, it converts polar coordinates into rectangular coordinates through angular rotation and orientation calculation. The experimental simulation test is carried out on the platform of intravascular ultrasound imaging system by FPGA. Experimental simulation shows that, CORDIC algorithm can effectively output sine and cosine values, compared with the traditional table finding method, this algorithm has faster speed, stronger real-time performance and needs less hardware resources. It is more suitable for intravascular ultrasound imaging system.
Algorithms ; Computer Simulation ; Computers ; Ultrasonography, Interventional