Improved compressed sensing reconstruction for [Formula: see text]F magnetic resonance imaging.

Thomas KampfVolker J F SturmThomas C Basse-LüsebrinkAndré FischerLukas R BuschleFelix T KurzHeinz-Peter SchlemmerChristian H ZienerSabine HeilandMartin BendszusMirko PhamGuido StollPeter M Jakob

Published in: Magma (New York, N.Y.) (2019)

The proposed methods improve the quality of CS reconstructions. Furthermore, because resampling is applied during post-processing, no additional measurement time is required. This allows easy incorporation into existing protocols and application to already measured data.

Keyphrases

magnetic resonance imaging
electronic health record
computed tomography
big data
smoking cessation
contrast enhanced
human milk
quality improvement
image quality
machine learning
diffusion weighted imaging
magnetic resonance