Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction.

Katerina EyreMoezedin Javad RafieeMargherita LeoJunjie MaElizabeth HillierNegin AminiJosephine PressaccoMartin A JanichXucheng ZhuMatthias G FriedrichMichael Chetrit

Published in: Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance (2024)

This study found that an accelerated 2D cine method with DL reconstruction at an acceleration factor of 8 can reduce CMR cine acquisition time by 37% (5.98/16) without significantly affecting volumetry or image quality. Given the increase of scan time efficiency, this undersampled acquisition method using deep learning reconstruction should be considered for routine clinical CMR.

Keyphrases

deep learning
image quality
computed tomography
artificial intelligence
convolutional neural network
machine learning
dual energy
clinical practice
loop mediated isothermal amplification
quantum dots