Parallel Computing of Patch-Based Nonlocal Operator and Its Application in Compressed Sensing MRI
作者: Qiyue LiXiaobo QuYunsong LiuDi GuoJing YeZhifang ZhanZhong ChenPeng Feng
作者单位: 1Departments of Communication Engineering and Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen 361005, China
2School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China
刊名: Computational and Mathematical Methods in Medicine, 2014, Vol.2014
来源数据库: Hindawi Journal
DOI: 10.1155/2014/257435
原始语种摘要: Magnetic resonance imaging has been benefited from compressed sensing in improving imaging speed. But the computation time of compressed sensing magnetic resonance imaging (CS-MRI) is relatively long due to its iterative reconstruction process. Recently, a patch-based nonlocal operator (PANO) has been applied in CS-MRI to significantly reduce the reconstruction error by making use of self-similarity in images. But the two major steps in PANO, learning similarities and performing 3D wavelet transform, require extensive computations. In this paper, a parallel architecture based on multicore processors is proposed to accelerate computations of PANO. Simulation results demonstrate that the acceleration factor approaches the number of CPU cores and overall PANO-based CS-MRI reconstruction can...
全文获取路径: Hindawi  (合作)

  • reconstruction 复原
  • compressed 侧扁的
  • imaging 图像形成
  • MRI Machine-Readable Information
  • wavelet 波涟
  • demonstrate 说明
  • multicore 多芯的
  • improving 改进
  • sensing 感觉
  • iterative 迭代