Accelerated parallel magnetic resonance imaging with compressed sensing using structured sparsity.

Nicholas DworkJeremy W GordonErin K Englund

Published in: Journal of medical imaging (Bellingham, Wash.) (2024)

Taking advantage of structured sparsity improves the image quality for a given amount of data as long as a fully sampled region centered on the zero frequency of the appropriate size is acquired.

Keyphrases

image quality
magnetic resonance imaging
computed tomography
dual energy
electronic health record
big data
contrast enhanced
machine learning
diffusion weighted imaging