Accelerating patch-based directional wavelets with multicore parallel computing in compressed sensing MRI
作者: Qiyue LiXiaobo QuYunsong LiuDi GuoZongying LaiJing YeZhong Chen
作者单位: 1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance Research, Xiamen University, Xiamen 361005, China
2Department of Communication Engineering, Xiamen University, Xiamen 361005, China
3School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China
刊名: Magnetic Resonance Imaging, 2015, Vol.33 (5), pp.649-658
来源数据库: Elsevier Journal
DOI: 10.1016/j.mri.2015.01.014
关键词: Parallel computingMulticoreMagnetic resonance imagingCompressed sensing
原始语种摘要: Abstract(#br)Compressed sensing MRI (CS-MRI) is a promising technology to accelerate magnetic resonance imaging. Both improving the image quality and reducing the computation time are important for this technology. Recently, a patch-based directional wavelet (PBDW) has been applied in CS-MRI to improve edge reconstruction. However, this method is time consuming since it involves extensive computations, including geometric direction estimation and numerous iterations of wavelet transform. To accelerate computations of PBDW, we propose a general parallelization of patch-based processing by taking the advantage of multicore processors. Additionally, two pertinent optimizations, excluding smooth patches and pre-arranged insertion sort, that make use of sparsity in MR images are also proposed....
全文获取路径: Elsevier  (合作)
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影响因子:2.06 (2012)

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