资源类型：
期刊/会议
文章类型：
会议论文
机构：
[a]School of Biomedical and Information Engineering, Northeastern University, Shenyang, China
[b]Beijing Tiantan Hospital, Beijing, China
首都医科大学附属天坛医院
[c]School of Electrical Engineering, Shenyang University of Technology, Shenyang, China
[d]School of Physics, Northeast University, Shenyang, China
关键词：
GPU
Griding
Motion artifact
Motion correction
PROPELLER
摘要：
PROPELLER technique can effectively cancel motion artifacts in MRI. But its wider application in clinical situation is limited due to considerable reconstruction times. Since most correction operations in PROPELLER reconstruction can be done for each strip respectively, the algorithm is highly parallelizable. This allows us to exploit the data-parallel nature of the GPU fragment processors. The paper presents an implementation to accelerate reconstruction of PROPELLER MRI on graphics processing units (GPUs) using CUDA. An improved grid-driven interpolation algorithm for PROPELLER trajectory is proposed for real-time imaging applications. The experiments show that the reconstruction is speeded up about nine times on GPU that of implementation on CPU with compatible motion correction accuracy and image quality. ©2009 IEEE.
第一作者：
Hongyu, G
推荐引用方式(GB/T 7714)：
Hongyu G,Jianping D,Yanfa H.GPU acceleration of PROPELLER MRI using CUDA[J].2009,doi:10.1109/ICBBE.2009.5162890.
APA：
Hongyu, G,Jianping, D&Yanfa, H.(2009).GPU acceleration of PROPELLER MRI using CUDA.,,
MLA：
Hongyu, G,et al."GPU acceleration of PROPELLER MRI using CUDA". .(2009)
