Fast GPU-Based Automatic Time Gain Compensation for Ultrasound Imaging

摘要：

The Compute Unified Device Architecture (CUDA) is anew programming platform making use of the unified shaderdesign of the most current Graphics Processing Units (GPUs)from NVIDIA. In this paper, we apply this revolutionary newtechnology to implement the automatic time gain compensation(ATGC) for medical ultrasound imaging. The parallel boxfiltering method and general matrix computation algorithms arealso presented. This ATGC method achieves a frame rate of 125fps for the 512×261 image, about 79 times faster than the CPUimplementation. Testing results from GPU and CPU arecompared in terms of visual image quality and program runtimewith different image sizes.

作者: Dan Shi Zhengjuan Fan Hao Yin 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）