Dynamic MRI using model-based deep learning and SToRM priors: MoDL-SToRM.

Journal: Magnetic resonance in medicine

Published Date: Mar 12, 2019

Abstract

PURPOSE: To introduce a novel framework to combine deep-learned priors along with complementary image regularization penalties to reconstruct free breathing & ungated cardiac MRI data from highly undersampled multi-channel measurements.

Authors

Sampurna Biswas

Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, Iowa.
Hemant K Aggarwal
Mathews Jacob

Keywords

Algorithms Cardiac Imaging Techniques Databases, Factual Deep Learning Heart Humans Image Processing, Computer-Assisted Magnetic Resonance Imaging Respiration

External Resources

View on PubMed Access via DOI PubMed (30860286)

Dynamic MRI using model-based deep learning and SToRM priors: MoDL-SToRM.

Abstract

Authors

Keywords

External Resources

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