MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation

High-quality reconstruction of MRI images from under-sampled `k-space' data, which is in the Fourier domain, is crucial for shortening MRI acquisition times and ensuring superior temporal resolution. Over recent years, a wealth of deep neural network (DNN) methods have emerged, aiming to tackle...

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Veröffentlicht in:	arXiv.org 2023-11
Hauptverfasser:	Nitzan Avidan, Freiman, Moti
Format:	Artikel
Sprache:	eng
Schlagworte:	Experimentation Image reconstruction Inverse problems Magnetic resonance imaging Neural networks Training
Online-Zugang:	Volltext
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