Recovering SWI-filtered phase data using deep learning.

Christian Kames Jonathan Doucette Christoph Birkl Alexander Rauscher

Published in: Magnetic resonance in medicine (2021)

It is feasible to recover SWI-filtered phase using deep learning. QSM can be computed from the recovered phase from SWI acquisition with comparable accuracy to standard QSM processing.

Keyphrases

deep learning
artificial intelligence
convolutional neural network
machine learning
image quality
magnetic resonance imaging
magnetic resonance
computed tomography
big data
data analysis