Deep learning reconstruction for cardiac magnetic resonance fingerprinting T1 and T2 mapping.

Jesse I HamiltonDanielle CurreySanjay RajagopalanNicole Seiberlich

Published in: Magnetic resonance in medicine (2020)

A neural network is introduced for reconstructing cMRF T1 and T2 maps directly from undersampled spiral images in under 400 ms and is robust to arbitrary cardiac rhythms, which paves the way for rapid online display of cMRF maps.

Keyphrases

deep learning
neural network
magnetic resonance
convolutional neural network
left ventricular
mass spectrometry
artificial intelligence
multiple sclerosis
high resolution
machine learning
social media
computed tomography
magnetic resonance imaging
high density
contrast enhanced