Theory of chemical exchange saturation transfer MRI in the context of different magnetic fields.

Moritz Zaiss, Tao Jin, Seong-Gi Kim, Daniel F Gochberg

Journal: NMR in biomedicine 2022;35(11):e4789

PMID: 35704180

Abstract

Chemical exchange saturation transfer (CEST) magnetic resonance imaging (MRI) is a versatile MRI method that provides contrast based on the level of molecular and metabolic activity. This contrast arises from indirect measurement of protons in low concentration molecules that are exchanging with the abundant water proton pool. The indirect measurement is based on magnetization transfer of radio frequency (rf)-prepared magnetization from the small pool to the water pool. The signal can be modeled by the Bloch-McConnell equations combining standard magnetization dynamics and chemical exchange processes. In this article, we review analytical solutions of the Bloch-McConnell equations and especially the derived CEST signal equations and their implications. The analytical solutions give direct insight into the dependency of measurable CEST effects on underlying parameters such as the exchange rate and concentration of the solute pools, but also on the system parameters such as the rf irradiation field B , as well as the static magnetic field B . These theoretical field-strength dependencies and their influence on sequence design are highlighted herein. In vivo results of different groups making use of these field-strength benefits/dependencies are reviewed and discussed.

© 2022 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.

Address: High-field Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tuebingen, Germany.; Institute of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.; NeuroImaging Laboratory, Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.; Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, South Korea.; Department of Biomedical Engineering, Sungkyunkwan University, Suwon, South Korea.; Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon, South Korea.; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA.; Department of Physics and Astronomy, Vanderbilt University, Nashville, Tennessee, USA.

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