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Sparse regularization in MRI iterative reconstruction using GPUs
Yue Zhuo
,
Bradley Sutton
, Xiao Long Wu
, Justin Haldar
,
Wen Mei Hwu
,
Zhi Pei Liang
Bioengineering
Beckman Institute for Advanced Science and Technology
Electrical and Computer Engineering
Coordinated Science Lab
Information Trust Institute
National Center for Supercomputing Applications (NCSA)
Biomedical and Translational Sciences
Veterinary Clinical Medicine
Neuroscience Program
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Keyphrases
Graphics Processing Unit
100%
Iterative Reconstruction
100%
Sparse Regularization
100%
MR Image Reconstruction
40%
Inverse Problem
20%
Magnetic Resonance Imaging
20%
Image Reconstruction
20%
Regularization Method
20%
Inhomogeneity Effects
20%
Field Inhomogeneity
20%
Improve Image Quality
20%
Computational Load
20%
Regularization Term
20%
Induced Fields
20%
Reconstruction Procedure
20%
Quadratic Regularization
20%
Memory Bottleneck
20%
Spatial Regularization
20%
Sparse Matrices
20%
Data Access
20%
Computer Science
Regularization
100%
Graphics Processing Unit
100%
Image Reconstruction
50%
Image Quality
16%
Inverse Problem
16%
Neighboring Voxels
16%
Memory Bandwidth
16%
Regularization Term
16%
Data Access
16%
Computational Load
16%
Engineering
Graphics Processing Unit
100%
Regularization
100%
Image Reconstruction
50%
Computational Load
16%
Memory Bandwidth
16%
Mathematics
Regularization
100%
Voxel
20%
Sparse Matrix
20%