Improved quantification in CEST-MRI by joint spatial total generalized variation.

Markus HuemerClemens StilianuOliver Maier Moritz Simon FabianManuel SchmidtArnd DoerflerKristian Bredies Moritz Zaiss Rudolf Stollberger

Published in: Magnetic resonance in medicine (2024)

The proposed fitting method using TGV regularization leads to improved results over a range of different data-sets and noise levels. Furthermore, it can be applied to all Z-spectrum data, with different amounts of pools, where the improved SNR and stability can increase diagnostic confidence.

Keyphrases

electronic health record
big data
magnetic resonance imaging
air pollution
magnetic resonance
data analysis
deep learning