Transform-Based Channel-Data Compression to Improve the Performance of a Real-Time GPU-Based Software Beamformer

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
U-Wai Lok, Pai-Chi Li

Abstract

Graphics processing unit (GPU)-based software beamforming has advantages over hardware-based beamforming of easier programmability and a faster design cycle, since complicated imaging algorithms can be efficiently programmed and modified. However, the need for a high data rate when transferring ultrasound radio-frequency (RF) data from the hardware front end to the software back end limits the real-time performance. Data compression methods can be applied to the hardware front end to mitigate the data transfer issue. Nevertheless, most decompression processes cannot be performed efficiently on a GPU, thus becoming another bottleneck of the real-time imaging. Moreover, lossless (or nearly lossless) compression is desirable to avoid image quality degradation. In a previous study, we proposed a real-time lossless compression-decompression algorithm and demonstrated that it can reduce the overall processing time because the reduction in data transfer time is greater than the computation time required for compression/decompression. This paper analyzes the lossless compression method in order to understand the factors limiting the compression efficiency. Based on the analytical results, a nearly lossless compression is proposed to fu...Continue Reading

References

Apr 3, 2003·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Siddhartha SikdarYongmin Kim
Jan 1, 1993·IEEE Transactions on Medical Imaging·M KaramanH Koymen
Jun 24, 2009·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Fabio Kurt SchneiderYongmin Kim
Aug 24, 2011·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Billy Y S YiuAlfred C H Yu
Mar 22, 2012·IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society·Yen-Feng Li, Pai-Chi Li
Jul 26, 2012·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Po-Wen ChengPai-Chi Li
Jan 10, 2014·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Jon Petter ÅsenSverre Holm

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Citations

Dec 4, 2016·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Dongwoon HyunJeremy J Dahl

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