Motion-Adaptive Spatio-Temporal Regularization ( MASTeR ) for Accelerated Dynamic MRI

@inproceedings{Asif2012MotionAdaptiveSR,
  title={Motion-Adaptive Spatio-Temporal Regularization ( MASTeR ) for Accelerated Dynamic MRI},
  author={Muhammad Salman Asif and Lei Hamilton and Marijn Brummer and Justin Romberg},
  year={2012}
}
Accelerated MRI techniques reduce signal acquisition time by undersampling k-space. A fundamental problem in accelerated MRI is the recovery of quality images from undersampled k-space data. Current state-of-the-art recovery algorithms exploit the spatial and temporal structures in underlying images to improve the reconstruction quality. In recent years, compressed sensing theory has helped formulate mathematical principles and conditions that ensure recovery of (structured) sparse signals from… CONTINUE READING

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