Multi-Layer Basis Pursuit for Compressed Sensing MR Image Reconstruction

Compressive Sensing (CS) is a widely used technique in biomedical signal acquisition and reconstruction. The technique is especially useful for reducing acquisition time for magnetic resonance imaging (MRI) signal acquisitions and reconstruction, where effects of patient fatigue and Claustrophobia n...

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Vydáno v:	IEEE access Ročník 8; s. 186222 - 186232
Hlavní autoři:	Wahid, Abdul, Shah, Jawad Ali, Khan, Adnan Umar, Ahmed, Manzoor, Razali, Hanif
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Artificial neural networks Compressed sensing Compressive sensing Image acquisition Image reconstruction inverse problems in imaging Iterative algorithms Iterative methods iterative thresholding algorithms Machine learning Magnetic resonance imaging multi-layered convolutional sparse coding Multilayers Restoration Training
ISSN:	2169-3536, 2169-3536
On-line přístup:	Získat plný text
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