计算机应用与软件Issue(9)：163-166,4.DOI:10.3969/j.issn.1000-386x.2013.09.045
稀疏磁共振图像重建算法的 GPU 并行设计与实现
A GPU-BASED PARALLEL DESIGN AND IMPLEMENTATION OF SPARSE MRI RECONSTRUCTION ALGORITHM
摘要
Abstract
Sparse MRI image reconstruction algorithm based on compressed sensing theory contains a large number of floating point operation, and is much time-consuming than the traditional inverse Fourier reconstruction algorithm in reconstruction process .To solve this problem, we make use of the powerful parallel processing capability of graphic processing unit ( GPU) to carry out the parallel design and implementation on orthogonal matching pursuit ( OMP ) algorithm based on the framework of NVIDIA computer unified device architecture ( CUDA ) . Experimental results show that , the algorithm implemented based on GPU has higher iterative reconstruction speed , the reconstruction of an MRI image with 1 0242 size only takes 1.4 s, 24 times faster than the CPU implementation , this can meet the demand of practical application in real-time property .关键词
图形处理器/统一计算设备架构/压缩感知/重构/稀疏磁共振Key words
Graphic processing unit/Compute unified device architecture/Compressed sensing/Reconstruction/Sparse magnetic reso-nance ( MRI)分类
信息技术与安全科学引用本文复制引用
李国燕,侯向丹,顾军华,宋庆增,周博君..稀疏磁共振图像重建算法的 GPU 并行设计与实现[J].计算机应用与软件,2013,(9):163-166,4.基金项目
河北省自然科学基金应用基础项目（ F2010000142）。李国燕，博士生，主研领域并行计算。 （）
