Multi-layer Convolutional Sparse Coding Framework for Restoration of Under-sampled MR Images

Magnetic Resonance Imaging (MRI) plays an important role in the diagnosis of different pathologies associated with human anatomy. The need to acquire images with higher temporal and spatial resolution require longer scan times resulting in patient fatigue and claustrophobia. In addition to scan time...

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Vydané v:	IEEE International Instrumentation and Measurement Technology Conference (Online) s. 1 - 6
Hlavní autori:	Wahid, Abdul, Ullah, Abdul Wahab Usman, Kadir, Kushairy, Saadain, Syed
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 17.05.2021
Predmet:	Basis Pursuit Compressive Sensing Convolutional codes Image coding Image restoration Magnetic resonance imaging Multi-layer Convolutional Sparse Coding Protocols Sensors Spatial resolution
ISSN:	2642-2077
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