Motion compensated cine CMR of the fetal heart using radial undersampling and compressed sensing.

Christopher W RoyMike SeedJohn C KingdomChristopher K Macgowan

Published in: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance (2017)

By rejecting data corrupted by through-plane motion, and correcting data corrupted by in-plane translation, the proposed reconstruction framework accounts for common sources of motion artifact (gross fetal movement, maternal respiration, fetal cardiac contraction) to produce high quality images of the fetal heart.

Keyphrases

heart failure
electronic health record
high speed
deep learning
atrial fibrillation
computed tomography
optical coherence tomography
machine learning
pregnant women
body mass index
smooth muscle
preterm birth