MRI-BASED ATTENUATION CORRECTION AND MEDICAL IMAGE REGISTRATION ON GPU

摘要：

In this paper, we propose to implement mutual information algorithms with functional dataparallelism to speed up the medical image registration process. Experimental results showed that the GPU implementation improves the registration computational performance with a speedup factor of 18.36x. Additional speedup can be achieved with diligent data profiling. In addition, we suggest the use of the proposed implementation in attenuation correction of MRI/PET image pairs.

作者: Wei-Hung Cheng Yufan Liu Cheng-Chang Lu

作者单位: Computer Science Department Kent State University Kent, Ohio 44242-0001

会议类型: 国际会议

会议名称: 2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

会议地点: 上海

会议语种:英文

页码: 395-398

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）