Accelerated MR parameter mapping with a union of local subspaces constraint.

Sagar MandavaMahesh B KeerthivasanZhitao LiDiego R MartinMaria I AltbachAli Bilgin

Published in: Magnetic resonance in medicine (2018)

The use of a union of local subspace constraints coupled with a sparsity promoting penalty leads to improved reconstruction quality of multi-contrast images and parameter maps.

Keyphrases

magnetic resonance
contrast enhanced
deep learning
high resolution
optical coherence tomography
magnetic resonance imaging
high density
quality improvement
computed tomography
machine learning