Active Brain & Nervous System

National facility for ultra-high field (11.7T) human MRI scanning

In plain English

AI plain-English summary

A new 11.7-tesla MRI scanner will give UK researchers the most powerful human brain imaging tool ever built, more than doubling the signal-to-noise ratio of current 7-tesla systems. This matters because standard MRI scanners struggle to see fine details of brain structure and metabolism. At 11.7T, sensitivity to markers of myelin and iron—key indicators of neurodegeneration in conditions like multiple sclerosis and Alzheimer’s—will increase dramatically. The blood-oxygen-level-dependent signal, which tracks brain activity, will more than triple, allowing researchers to map neural circuits at a mesoscopic scale that currently requires invasive techniques. If successful, the facility will transform how scientists study brain function and disease. Metabolic mapping using X-nuclei (such as sodium and phosphorus) will accelerate data acquisition up to sixfold, enabling faster patient studies in cancer and other diseases. The insights will directly benefit basic and clinical neuroscience, the NHS, and the life sciences industry. This is primarily a fundamental science infrastructure project. It will not immediately change patient care, but it will open new windows into human biology—much as earlier increases in MRI field strength led to breakthroughs in understanding stroke, epilepsy, and brain development.

View original technical description
The need for increased sensitivity and contrast drives the development of magnetic resonance imaging towards increasing magnetic field strength, with the most recent step being from 3 to 7T (T=tesla). The UK7T Network has provided the UK's 7T sites with valuable experience of successful collaboration on high-field-MRI and UK researchers have played a key role in establishing the maximal attainable performance of 7T systems. Recent technological advances have led to considerable excitement about the potential of UHF (>7T) for human MRI. The gains offered by UHF are prodigious, but considerable technical advances are required to deliver them. A small number of 9.4T scanners are already producing impressive results, 10.5T and 11.7T scanners are poised to deliver and 14T scanners are being considered in Europe and China. For UHF to have maximum impact, a concentrated national-level effort is now needed. We believe that a step change in performance can be rapidly realised at 11.7T, enabling swift advances in applied biomedical imaging. The UK's world-leading, closely-knit MRI and clinical research communities are uniquely equipped to undertake the coherent work-programme required to develop and exploit 11.7T. Magnetic resonance imaging (MRI) and spectroscopy (MRS) provide powerful insights into the structure and function of the human body, enabling the study of anatomy, physiology and metabolism in health and disease. MRI and MRS underpin biomedical research programmes ranging from fundamental human biology and neuroscience to the experimental medicine studies and clinical trials which lead to improved patient outcomes. Increased signal-to-noise-ratio (SNR) at 11.7T will translate into much richer information content in structural and functional imaging in the brain and body, producing a step change in the range of research questions that can be addressed with MRI. The SNR of brain images will more than double from 7T levels, and sensitivity to key MRI markers of tissue properties will greatly increase. This is particularly the case for myelin and iron - important markers of neurodegeneration and neuroinflammation. The expected, more-than-tripling of blood-oxygenation-level-dependent sensitivity at 11.7T (relative to 7T) will allow brain activity to be probed in unprecedented detail, enabling reliable assessment of brain function at a mesoscopic level, bridging the gap between standard neuroimaging and invasive electrophysiology/microscopy techniques. UHF-MRS also offers great benefits for studies of metabolism in health and disease. Gains in SNR for MR studies involving X-nuclei (including 2H, 7Li, 13C, 17O, 23Na, 31P and 129Xe) are even greater than for 1H. This will produce a huge enhancement in metabolic mapping capability, accelerating data acquisition by up to 6x, so facilitating patient studies in cancer and a wide range of other important diseases. This bid was developed with input from >90 researchers from 20 different organisations whose expertise spans multiple disciplines, who will develop and use the new facility. The new insights into brain structure and function provided by the facility will be of immediate benefit to researchers in basic and clinical neuroscience. Previously inaccessible measures of metabolism and organ function in health and disease will be of value across the biomedical community, including the life science and healthcare industries and the NHS. Engineers, physicists and computer scientists will be engaged in the development of new UHF technology.

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Researchers

Adam Berrington (Co-Investigator)Andrew Bagshaw (Co-Investigator)Andrew Blamire (Co-Investigator)Andrew Peet (Co-Investigator)Andrew Peters (Co-Investigator)Christopher Rodgers (Co-Investigator)Claudia Wheeler-Kingshott (Co-Investigator)Damian Tyler (Co-Investigator)Daniel Alexander (Co-Investigator)Derek Jones (Co-Investigator)Dorothee Auer (Co-Investigator)Emre Kopanoglu (Co-Investigator)Geoff Parker (Co-Investigator)Harish Poptani (Co-Investigator)Ian Hall (Co-Investigator)Itamar Ronen (Co-Investigator)James Rowe (Co-Investigator)James Wild (Co-Investigator)Jozien Goense (Co-Investigator)Jurgen Schneider (Co-Investigator)Karen Mullinger (Co-Investigator)Karin Shmueli (Co-Investigator)Laura Parkes (Co-Investigator)Mara Cercignani (Co-Investigator)Neal Bangerter (Co-Investigator)Ozlem Ipek (Co-Investigator)Paul Armitage (Co-Investigator)Paul Glover (Co-Investigator)Penny Gowland (Co-Investigator)Peter Jezzard (Co-Investigator)Peter Thelwall (Co-Investigator)Richard Bowtell (Principal Investigator)Rimona Weil (Co-Investigator)Shaihan Malik (Co-Investigator)Shajan Gunamony (Co-Investigator)Steven Sourbron (Co-Investigator)Steven Williams (Co-Investigator)Stuart Clare (Co-Investigator)Susan Francis (Co-Investigator)Zoe Kourtzi (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

EPSRC Capital Award for Core Equipment 2024/25: National facility for Ultra-high Field (11.7T) Human MRI Scanning
MICA: Ultra-High Field MRI: Advancing Clinical Neuroscientific Research in Experimental Medicine
The UK7T Network: developing the ultra-high field MRI platform for biomedical research.
Realising the benefits of structural and functional MRI at ultra-high-field
A new collaborative ultra-high field MRI facility for dementia and neuroscience research

Original classification

Research Grant

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