earticle

영어

The ability to detect and assess information of blood flow in color Doppler imaging (CDI) has played one of the most important roles in a modern ultrasound imaging system. However, since CDI requires large amount of data and computations, it has been mainly implemented on custom-designed hardware. Recent trend of programmable approach offers the advantages of flexibility and quick implementation. Specifically, general-purpose GPUs have been emerged as excellent accelerators across a wide range of applications. For best exploiting outstanding computational power, high memory bandwidth and SIMD architecture of a GPU, this paper explores the design space of CDI on GPU architecture platform and 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.