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http://dx.doi.org/10.9728/dcs.2018.19.6.1207

A GPU-based Filter Algorithm for Noise Improvement in Realtime Ultrasound Images  

Cho, Young-Bok (Department of Computer & Information Security, Daejeon University)
Woo, Sung-Hee (Department of Medical IT Engineering, Korea National University of Transportation)
Publication Information
Journal of Digital Contents Society / v.19, no.6, 2018 , pp. 1207-1212 More about this Journal
Abstract
The ultrasound image uses ultrasonic pulses to receive the reflected waves and construct an image necessary for diagnosis. At this time, when the signal becomes weak, noise is generated and a slight difference in brightness occurs. In addition, fluctuation of image due to breathing phenomenon, which is the characteristic of ultrasound image, and change of motion in real time occurs. Such a noise is difficult to recognize and diagnose visually in the analysis process. In this paper, morphological features are automatically extracted by using image processing technique on ultrasound acquired images. In this paper, we implemented a GPU - based fast filter using a cloud big data processing platform for image processing. In applying the GPU - based high - performance filter, the algorithm was run with performance 4.7 times faster than CPU - based and the PSNR was 37.2dB, which is very similar to the original.
Keywords
Medical Image Processing; Reign of Interest(ROI); GPU process; BigData Analysis; Spark Platform;
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Times Cited By KSCI : 4  (Citation Analysis)
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