Comparison of fast field-cycling magnetic resonance imaging methods and future perspectives

Fast field-cycling (FFC) nuclear magnetic resonance relaxometry is a well-established method to determine the relaxation rates as a function of magnetic field strength. This so-called nuclear magnetic relaxation dispersion gives insight into the underlying molecular dynamics of a wide range of compl...

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Bibliographic Details
Published in:Molecular physics 2019-04, Vol.117 (7-8), p.832-848
Main Authors: Bödenler, Markus, de Rochefort, Ludovic, Ross, P. James, Chanet, Nicolas, Guillot, Geneviève, Davies, Gareth R., Gösweiner, Christian, Scharfetter, Hermann, Lurie, David J., Broche, Lionel M.
Format: Article
Language:English
Subjects:
Biological properties
Complex systems
Contrast agents
Cycles
delta relaxation enhanced MR
Dispersion
Eddy currents
Engineering Sciences
Error correction
FFC-MRI
Field strength
Field-cycling
Image contrast
Life Sciences
Magnetic induction
Magnetic relaxation
Magnetic resonance imaging
Medical imaging
Molecular dynamics
NMR
NMRD
Nuclear magnetic resonance
Physics
Tissues
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Summary:Fast field-cycling (FFC) nuclear magnetic resonance relaxometry is a well-established method to determine the relaxation rates as a function of magnetic field strength. This so-called nuclear magnetic relaxation dispersion gives insight into the underlying molecular dynamics of a wide range of complex systems and has gained interest especially in the characterisation of biological tissues and diseases. The combination of FFC techniques with magnetic resonance imaging (MRI) offers a high potential for new types of image contrast more specific to pathological molecular dynamics. This article reviews the progress in FFC-MRI over the last decade and gives an overview of the hardware systems currently in operation. We discuss limitations and error correction strategies specific to FFC-MRI such as field stability and homogeneity, signal-to-noise ratio, eddy currents and acquisition time. We also report potential applications with impact in biology and medicine. Finally, we discuss the challenges and future applications in transferring the underlying molecular dynamics into novel types of image contrast by exploiting the dispersive properties of biological tissue or MRI contrast agents.
ISSN:0026-8976
1362-3028
DOI:10.1080/00268976.2018.1557349