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High Performance Implementation of Ultrasound Color Doppler Imaging on GPU platform

Thi Yen Phuong, Jeong-Gun Lee
Department of Computer Engineering, Hallym University, Korea
ASTL Volume 23: Advances in Computer and Computing Science, 2013

@article{phuong2013high,

   title={High Performance Implementation of Ultrasound Color Doppler Imaging on GPU platform},

   author={Phuong, Thi Yen and Lee, Jeong-Gun},

   year={2013}

}

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The ability to detect and assess information of blood flow in color Doppler imaging (CDI) has played an important role in a modern ultrasound imaging system. However, it has been mainly implemented on custom-designed hardware due to large amount of data and computations. Recent trend of programmable approach offers the advantages of flexibility and quick implementation. For best exploiting outstanding computational power, high memory bandwidth and SIMD architecture of a GPU, this paper presents a high performance implementation of CDI on the GPU platform using CUDA API. The performance analysis shows our GPU-based CDI can achieve a frame rate of 152 for 800 range samples and 200 scan lines with an ensemble size of 12. Speedup of 19.8x can be obtained when compared with that on a CPU platform.
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