Login / Signup

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

Markus HuemerClemens StilianuOliver MaierMoritz Simon FabianManuel SchmidtArnd DoerflerKristian BrediesMoritz ZaissRudolf 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
  • contrast enhanced
  • machine learning
  • artificial intelligence