Optimized GPU Framework for Ultrasound Color Flow Imaging

摘要：

A GPU framework for ultrasound color flow imaging (CFI) based on auto-correlation is presented. The parallel CFI processing framework implementation is mainly based on CUDA performance features, such as the memory selection strategy, applicable thread structure and high-throughput bandwidth. Parallel convolution algorithm and multi-channel championship algorithm are proposed. This CFI method achieves a frame rate of 300 fps from the Doppler signal, in which the number of scan lines is 44, the number of samples along the axial line is 510 and ensemble size is 16.

作者: Zhengjuan Fan Dan Shi Dong C.Liu

作者单位: Computer Science College Sichuan University Chengdu, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）