Zhang Yaonan, Jin Yingdong, Qiu Weibao. Preliminary Comparison of Two Compression Methods for Ultrasonic Plane Wave Data[J]. Chinese Journal of Medical Instrumentation, 2016, 40(3): 164-168. DOI: 10.3969/j.issn.1671-7104.2016.03.003
      Citation: Zhang Yaonan, Jin Yingdong, Qiu Weibao. Preliminary Comparison of Two Compression Methods for Ultrasonic Plane Wave Data[J]. Chinese Journal of Medical Instrumentation, 2016, 40(3): 164-168. DOI: 10.3969/j.issn.1671-7104.2016.03.003

      Preliminary Comparison of Two Compression Methods for Ultrasonic Plane Wave Data

      • Ultrasonic plane wave imaging is one of the hot topics in the study of ultrasound imaging, but the plane wave ultrahigh 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 ultrasonic 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 small. So from the point of the compression ratio, the frequency domain cutting algorithm is the primary choice of the ultrasonic data compression algorithm.
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