Exponential Wavelet Iterative Shrinkage Thresholding Algorithm for compressed sensing magnetic resonance imaging

It is beneficial for both hospitals and patients to accelerate MRI scanning. Recently, a new fast MRI technique based on CS was proposed. However, the reconstruction quality and computation time of CS-MRI did not meet the standard of clinical use. Therefore, we proposed a novel algorithm based on th...

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Vydané v:	Information sciences Ročník 322; s. 115 - 132
Hlavní autori:	Zhang, Yudong, Dong, Zhengchao, Phillips, Preetha, Wang, Shuihua, Ji, Genlin, Yang, Jiquan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 20.11.2015
Predmet:	Algorithms Compressed sensing Iterative methods Iterative Shrinkage/Thresholding Algorithm Magnetic resonance imaging Patients Reconstruction Shrinkage Sparsifying transform Sparsity measure Tuning Wavelet Iterative Shrinkage/Thresholding Algorithm Magnetic resonance imaging Sparsifying transform Compressed sensing Sparsity measure
ISSN:	0020-0255
On-line prístup:	Získať plný text
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