Abstract
Fast Field-Cycling (FFC) is a well-established Nuclear Magnetic Resonance (NMR) technique that exploits varying magnetic fields to quantify molecular motion over a wide range of time scales, providing rich structural information from nanometres to micrometres, non-invasively. Previous work demonstrated great potential for FFC-NMR biomarkers in medical applications; our research group has now ported this technology to medical imaging by designing a whole-body FFC Magnetic Resonance Imaging (FFC-MRI) scanner capable of performing accurate measurements non-invasively over the entire body, using signals from water and fat protons. This is a unique tool to explore new biomarkers related to disease-induced tissue remodelling. Our approach required making radical changes in the design, construction and control of MRI hardware so that the magnetic field is switched within 12.5 ms to reach any field strength from 50 μT to 0.2 T, providing clinically useful images within minutes. Pilot studies demonstrated endogenous field-dependant contrast in biological tissues in good agreement with reference data from other imaging modalities, confirming that our system can perform multiscale structural imaging of biological tissues, from nanometres to micrometres. It is now possible to confirm ex vivo results obtained from previous clinical studies, offering applications in diagnosis, staging and monitoring treatment for cancer, stroke, osteoarthritis and oedema.
| Original language | English |
|---|---|
| Article number | 10402 |
| Number of pages | 11 |
| Journal | Scientific Reports |
| Volume | 9 |
| DOIs | |
| Publication status | Published - 18 Jul 2019 |
Bibliographical note
The authors would like to thank the clinical teams of the Royal Aberdeen Infirmary for their support, in particular Dr German Guzman-Guttierez, Mr Paddy Ashcroft, Dr Tanja Gagliardi, Prof Steven Heys, Prof Alison Murray and Prof Graeme Murray. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 668119 (project “IDentIFY”).UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- SPIN-LATTICE-RELAXATION
- NMR
- RELAXOMETRY
- DISPERSION
- MRI
- OPTIMIZATION
- SPECTROSCOPY
- DEPENDENCE
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Lionel Broche, M
- School of Medicine, Medical Sciences & Nutrition, Medical Sciences - Senior Research Fellow
- School of Medicine, Medical Sciences & Nutrition, Medical Imaging Technologies
- School of Medicine, Medical Sciences & Nutrition, Institute of Medical Sciences
- School of Medicine, Medical Sciences & Nutrition, Aberdeen Biomedical Imaging Centre
- School of Medicine, Medical Sciences & Nutrition, Aberdeen Centre for Research Excellence in Musculoskeletal Health: Collaborate. Innovate. Translate.
Person: Academic Related - Research
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David Lurie
- School of Medicine, Medical Sciences & Nutrition, Medical Sciences - Emeritus Professor
Person: Honorary
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Mary MacLeod
- School of Medicine, Medical Sciences & Nutrition, Medical Sciences - Personal Chair (Clinical)
- School of Medicine, Medical Sciences & Nutrition, Cardiometabolic Disease
- School of Medicine, Medical Sciences & Nutrition, Aberdeen Cardiovascular and Diabetes Centre
- School of Medicine, Medical Sciences & Nutrition, Institute of Medical Sciences
Person: Clinical Academic
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