39 research outputs found
Correction of environmental magnetic fields for the acquisition of Nuclear magnetic relaxation dispersion profiles below Earth’s field
V.Z. acknowledges funding from EPSRC under grant number EP/J500045/1, “A UK Magnetic Resonance Basic Technology Centre for Doctoral Training”. Aspects of the work were funded by EPSRC grant EP/K020293/1, “Zero-Field MRI to Enhance Diagnosis of Neurodegeneration”. This project has also received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 668119, project “IDentIFY”. The authors are grateful to Mr. G.P. Ashcroft and Dr. W. Mathieson for providing access to the biological samples used.Peer reviewedPublisher PD
Rapid field-cycling MRI using fast spin-echo
Copyright © 2014 Wiley Periodicals, Inc.Peer reviewedPostprin
Simple algorithm for the correction of MRI image artefacts due to random phase fluctuations
Grant support: This work was supported by EPSRC [grant numbers EP/E036775/1, EP/K020293/1] and received funding from the European Union's Horizon 2020 research and innovation programme [grant agreement No 668119, project “IDentIFY”]Peer reviewedPublisher PD
Ultra-Low Field NMR Relaxometry : Calibration Method and T1-Dispersion below 1000 Hz
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Development of an RF coil tuning system to enable Nuclear Quadrupole Double Resonance in Fast Field-Cycling MRI
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Enabling Nuclear Quadrupole Double Resonance capabilities for Fast Field-Cycling MRI
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An algorithm for tracking the position and velocity of multiple neuronal signals using implantable microelectrodes in vivo
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Detection of tissue remodelling by Fast Field-Cycling methods
Abstract 57Peer reviewedPublisher PD
In vivo human brain imaging at 0.2 T using a whole-body fast field-cycling MRI system
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Slow dynamics of solid proteins : Nuclear Magnetic Resonance relaxometry versus Dielectric Spectroscopy
Acknowledgement This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 668119 (project “IDentIFY”).Peer reviewedPublisher PD