NDLI: Acceleration of ultrasonic data compression using OpenCL on GPU

Content Provider	IEEE Xplore Digital Library
Author	Boyang Wang Govindan, P. Gonnot, T. Saniie, J.
Copyright Year	2015
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA (Boyang Wang; Govindan, P.; Gonnot, T.; Saniie, J.)
Abstract	Ultrasonic imaging applications require real-time acquisition and processing of huge volume of data. Subsequently, reducing the data storage becomes an essential requirement for applications involving ultrasound technology. Compression of the acquired data significantly reduces the storage and also helps in faster data processing. Furthermore, computationally efficient data compression enables real-time data transfer to remote locations for expert analysis. In this study, an efficient implementation of ultrasonic data compression based on discrete wavelet transform (DWT) is realized on GeForce GT 750M NVIDIA graphical processing unit (GPU) using Open Computing Language (OpenCL). Execution of OpenCL program on GPU allows parallel computing of the compression algorithm to accelerate the computational performance. This study demonstrates that OpenCL implementation of ultrasonic compression algorithm on GPU requires only 0.29 seconds for compressing 33 Mbytes of ultrasonic data into 6.6 Mbytes (80% compression), which makes it suitable for real-time ultrasonic imaging applications.
Starting Page	305
Ending Page	309
File Size	3445099
Page Count	5
File Format	PDF
ISSN	21540373
e-ISBN	9781479988020
DOI	10.1109/EIT.2015.7293358
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-21
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Acoustics Ultrasonic imaging Real-time systems Discrete wavelet transforms Data compression Kernel
Content Type	Text
Resource Type	Article

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