Login / Signup

DeepCEST: 9.4 T Chemical exchange saturation transfer MRI contrast predicted from 3 T data - a proof of concept study.

Moritz ZaissAnagha DeshmaneMark SchuppertKai HerzFelix GlangPhilipp EhsesTobias LindigBenjamin BenderUlrike ErnemannKlaus Scheffler
Published in: Magnetic resonance in medicine (2019)
The 9.4 T CEST signals acquired at low saturation power can be accurately estimated from CEST imaging at 3 T using a neural network trained with coregistered 3 T and 9.4 T data of healthy subjects. The deepCEST approach generalizes to Z-spectra of tumor areas and might indicate whether additional ultrahigh-field (UHF) scans will be beneficial.
Keyphrases
  • neural network
  • contrast enhanced
  • electronic health record
  • big data
  • magnetic resonance imaging
  • computed tomography
  • high resolution
  • magnetic resonance
  • machine learning
  • density functional theory