Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI

In compressed sensing MRI (CS-MRI), k-space measurements are under-sampled to achieve accelerated scan times. CS-MRI presents two fundamental problems: (1) where to sample and (2) how to reconstruct an under-sampled scan. In this article, we tackle both problems simultaneously for the specific case...

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Veröffentlicht in:	IEEE transactions on computational imaging 2020, Vol.6, p.1139-1152
Hauptverfasser:	Bahadir, Cagla D., Wang, Alan Q., Dalca, Adrian V., Sabuncu, Mert R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aliasing Cartesian coordinates Compressed sensing Computational modeling Deep learning Image reconstruction Knee Machine learning Magnetic resonance imaging Masks Neural networks Optimization Reconstruction Sampling
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