基于CUDA的彩色超声血流成像

彩色超声血流成像在医学超声诊断中得到了广泛的运用。对前期所提出的超声血流成像图形处理器(GPU)的处理框架做出了两点改进：在壁滤波器模块并行实现Regression滤波器，替换原来的并行有限冲激响应(FIR)滤波器；在后处理模块中，加入了并行实现的Threshold box滤波器，改善了血流的均匀性。实验结果表明：GPU并行实现的运算效率是中央处理器(CPU)串行实现的16.2倍，帧率可以达到70帧/秒。与传统的FIR滤波器相比，Regression滤波器能够得到更高质量的超声血流图像，并且Threshold box滤波器提高了组织/血流鉴定的精确度。

Ultrasound color flow imaging based on compute unified device architecture

Ultrasound Color Flow Imaging (CFI) is widely used in clinical diagnosis. This paper made two improvements for previous research about Graphics Processing Unit (GPU) framework for CFI: on wall filtering block, the parallel regression filtering was implemented instead of Finite Impulse Response (FIR) filter; on post-processing block, the parallel threshold box filtering was added to improve flow uniformity. The experimental data were acquired from a healthy carotid artery: 88 scan lines, 510 samples along the scan line, and an ensemble size of 16. The experimental results show that, compared with the serial algorithm based on Central Processing Unit (CPU), the computational efficiency of the proposed parallel algorithms based on GPU has been increased by 15.2 times and the frame rate increases up to 70. The color flow image can achieve a high quality by the regression filter instead of FIR filter, and improve the accuracy of tissue/flow detection by threshold box filter.