A next-generation MRI brain imaging platform for dementia research: from microstructure to function
Lead Research Organisation:
University College London
Department Name: Institute of Neurology
Abstract
Dementia is arguably the most urgent public health challenge confronting the developed world. Recent progress in the molecular biology of neurodegeneration has been matched by rapid developments in neuroimaging technology that can capture disease effects and mechanisms with unprecedented sensitivity, yet the clinical value of these technologies remains largely unrealised. At the same time imaging, most commonly MRI, has become a requisite part of the investigation of cognitive disorders; together these factors contribute to the need for fundamental and translational imaging research in dementia. This proposal will establish cutting edge next-generation MRI technology in the dedicated Dementia Research Scanner Centre at Queen Square, UCL, to maintain and enhance our institution's position as a leader in translational dementia imaging research and maximise our contribution to the UK Dementia Platform. We propose seven Key Innovations that will enable us to deliver major insights into the microstructural (KI1-3), functional (KI4), perfusion (KI5) and inflammatory changes (KI6) in the dementias, along with advances in motion correction (KI7) that will make these innovations feasible in the populations we need to study - together these technological advances will allow us to address critical translational challenges in imaging in dementia. The proposed innovations depend crucially on access to the latest MRI scanner hardware, providing maximal gradient power (80mT/m), massively parallel radio-frequency (RF) head receive coils (64 channels), parallel RF transmit technology and the latest ultra-fast MRI pulse sequences. To most effectively translate this enhanced hardware performance into improved image quality in patients, it will be complemented by ultra-fast prospective motion correction (PMC) to minimise motion artifacts. Thus, we propose an upgrade of our 3T scanning facilities to a Siemens 3T Prisma MRI scanner with multinuclear capability, complemented by the installation of a Kineticor PMC system. The upgrade will not only enhance the imaging capabilities locally but the related innovations will help direct the way for major multi-centre clinical trials in dementia, which are increasingly reliant on 3T infrastructure.
Technical Summary
Magnetic resonance imaging (MRI) will be crucial in early detection, diagnosis, and treatment trials in dementia. We will establish next-generation MRI technology in the UCL 3T Dementia Research Scanner. The upgrade including multi-nuclear, parallel transmit, multi band excitation, 64 channel RF head-coil, and stronger gradients will yield the spatial resolution, diffusion sensitivity, and scan-time efficiency essential for delivery and rapid translation of MRI innovation in 7 key areas:
Diffusion microstructure imaging: Neurite orientation dispersion and density imaging (NODDI), ActiveAx to map average axon diameter, and oscillating gradient spin-echo (OGSE) methods.
Multi-contrast quantitative MRI: Multi-parameter mapping reflecting microstructure; in vivo histology MRI quantifying cortical microanatomy, myelin, iron and amyloid plaque distribution.
Advanced tractography and tractometry: Probing tracts important in dementia, but too small to investigate reliably to date, and structural connectivity as a whole, illuminating network changes and offering connectivity-based biomarkers.
Clinical Functional MRI: Functional connectivity metrics may be sensitive markers of neural network dysfunction prior to irreversible structural brain damage.
Arterial spin labelling (ASL) perfusion mapping: ASL has begun to impact in dementia research and perfusion may be key in the multi-parametric MRI signature differentiating neurodegenerative diseases.
Sodium Imaging: Provides indices sensitive to inflammation and neuroaxonal loss. The role of neuroinflammation in dementia, long recognised is still poorly understood.
Ultra-Fast Prospective Motion Correction (PMC): Optical tracking PMC completely compensates for head motion, a major limitation in clinical high resolution imaging.
The work aligns completely with the UKDP priorities of establishing cohorts and methods to expedite trials of interventions effective before widespread, irreversible neuronal damage occurs.
Diffusion microstructure imaging: Neurite orientation dispersion and density imaging (NODDI), ActiveAx to map average axon diameter, and oscillating gradient spin-echo (OGSE) methods.
Multi-contrast quantitative MRI: Multi-parameter mapping reflecting microstructure; in vivo histology MRI quantifying cortical microanatomy, myelin, iron and amyloid plaque distribution.
Advanced tractography and tractometry: Probing tracts important in dementia, but too small to investigate reliably to date, and structural connectivity as a whole, illuminating network changes and offering connectivity-based biomarkers.
Clinical Functional MRI: Functional connectivity metrics may be sensitive markers of neural network dysfunction prior to irreversible structural brain damage.
Arterial spin labelling (ASL) perfusion mapping: ASL has begun to impact in dementia research and perfusion may be key in the multi-parametric MRI signature differentiating neurodegenerative diseases.
Sodium Imaging: Provides indices sensitive to inflammation and neuroaxonal loss. The role of neuroinflammation in dementia, long recognised is still poorly understood.
Ultra-Fast Prospective Motion Correction (PMC): Optical tracking PMC completely compensates for head motion, a major limitation in clinical high resolution imaging.
The work aligns completely with the UKDP priorities of establishing cohorts and methods to expedite trials of interventions effective before widespread, irreversible neuronal damage occurs.
Planned Impact
Who will benefit from this research?
Patients with neurodegenerative diseases and their families and caregivers will benefit most directly. These diseases exact a devastating human and socioeconomic cost. Diagnosis, prognosis and care all present major unresolved problems for which there is an urgent need for improved, effective diagnostic algorithms and disease markers that might ultimately guide therapy and facilitate its development. The substantial disease burden implications and the genetic component of these diseases raises many specific, difficult and cascading issues for caregivers and families. As the dementias collectively present such a huge public health and social challenge the potential research beneficiaries are much wider and include health policy makers (including those involved in drawing up consensus guidelines for dementia diagnosis and management) and the allied health services and government agencies involved in managing and mobilising services for people with dementia. The commercial sector is also a potential beneficiary in future large-scale drug trials informed by the research.
How will they benefit?
There are at least 4 broad areas of benefit from the new imaging environment and research platform, for both those affected by the target diseases directly, and other clinical, lay and policy-shaping stakeholders.
i) Improved diagnosis and management
within the lifetime of the project, new imaging techniques and protocols and new information about disease biology and evolution and characterisation of imaging signatures associated with pathogenic processes could translate to earlier and more accurate disease diagnosis (e.g., via the medium of consensus guideline working parties).
ii) Improved understanding of disease mechanisms
It has recently been recognised that the common forms of neurodegeneration share the key theme of specific brain network disintegration: more accurate characterisation of this process would generate testable biomarker strategies that could then be evaluated in a range of diseases and inform trial design and management strategies.
iii) Design and evaluation of clinical trials
In the longer term (next five to ten years), new biomarkers of neurodegenerative brain damage would inform trial design and assist in evaluating the impact of new therapies. In addition, improved characterisation of brain imaging changes in terms of underlying molecular abnormalities could suggest new disease mechanisms that might be targeted by disease-modifying therapies.
iv) Improved awareness, dissemination and health policy shaping
This research will fill an important ongoing role in improving public awareness of these diseases. Recent high profile cases of unusual dementias in the public eye and the Prime Minister's recent Dementia Challenge initiative have demonstrated the potential importance of public awareness in shaping health policy. There is considerable and growing public interest in new imaging technologies and their accessibility to key stakeholders. The techniques and protocols developed and the research supported by this programme will be actively promulgated in public engagement activities extending those already in place at the host Centre including lay lectures, media releases and support group out-reach activities, and engagement with expert health policy committees and working parties. These activities engage a range of nonmedical groups as well as lay patient support organisations.
Senior coapplicants on the programme sit regularly on national and international advisory boards and steering groups and played a key consultative role to the recent G8 Dementia Research Summit (Fox Lancet 2013). These are practical mechanisms for allowing the research findings to help shape health policy in the longer term, with implications extending to the much wider burden of dementia in the UK and international communities and well beyond the lifetime of this programme.
Patients with neurodegenerative diseases and their families and caregivers will benefit most directly. These diseases exact a devastating human and socioeconomic cost. Diagnosis, prognosis and care all present major unresolved problems for which there is an urgent need for improved, effective diagnostic algorithms and disease markers that might ultimately guide therapy and facilitate its development. The substantial disease burden implications and the genetic component of these diseases raises many specific, difficult and cascading issues for caregivers and families. As the dementias collectively present such a huge public health and social challenge the potential research beneficiaries are much wider and include health policy makers (including those involved in drawing up consensus guidelines for dementia diagnosis and management) and the allied health services and government agencies involved in managing and mobilising services for people with dementia. The commercial sector is also a potential beneficiary in future large-scale drug trials informed by the research.
How will they benefit?
There are at least 4 broad areas of benefit from the new imaging environment and research platform, for both those affected by the target diseases directly, and other clinical, lay and policy-shaping stakeholders.
i) Improved diagnosis and management
within the lifetime of the project, new imaging techniques and protocols and new information about disease biology and evolution and characterisation of imaging signatures associated with pathogenic processes could translate to earlier and more accurate disease diagnosis (e.g., via the medium of consensus guideline working parties).
ii) Improved understanding of disease mechanisms
It has recently been recognised that the common forms of neurodegeneration share the key theme of specific brain network disintegration: more accurate characterisation of this process would generate testable biomarker strategies that could then be evaluated in a range of diseases and inform trial design and management strategies.
iii) Design and evaluation of clinical trials
In the longer term (next five to ten years), new biomarkers of neurodegenerative brain damage would inform trial design and assist in evaluating the impact of new therapies. In addition, improved characterisation of brain imaging changes in terms of underlying molecular abnormalities could suggest new disease mechanisms that might be targeted by disease-modifying therapies.
iv) Improved awareness, dissemination and health policy shaping
This research will fill an important ongoing role in improving public awareness of these diseases. Recent high profile cases of unusual dementias in the public eye and the Prime Minister's recent Dementia Challenge initiative have demonstrated the potential importance of public awareness in shaping health policy. There is considerable and growing public interest in new imaging technologies and their accessibility to key stakeholders. The techniques and protocols developed and the research supported by this programme will be actively promulgated in public engagement activities extending those already in place at the host Centre including lay lectures, media releases and support group out-reach activities, and engagement with expert health policy committees and working parties. These activities engage a range of nonmedical groups as well as lay patient support organisations.
Senior coapplicants on the programme sit regularly on national and international advisory boards and steering groups and played a key consultative role to the recent G8 Dementia Research Summit (Fox Lancet 2013). These are practical mechanisms for allowing the research findings to help shape health policy in the longer term, with implications extending to the much wider burden of dementia in the UK and international communities and well beyond the lifetime of this programme.
Organisations
- University College London (Lead Research Organisation)
- University of Manchester (Collaboration)
- GOLD STANDARD PHANTOMS LIMITED (Collaboration)
- Newcastle University (Collaboration)
- National Physical Laboratory (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- UNIVERSITY OF EDINBURGH (Collaboration)
- Max Planck Society (Collaboration)
- Cardiff University (Collaboration)
- Harvard–MIT Division of Health Sciences and Technology (Collaboration)
- KING'S COLLEGE LONDON (Collaboration)
Publications
![publication icon](/resources/img/placeholder-60x60.png)
Scott CJ
(2019)
Reduced acquisition time PET pharmacokinetic modelling using simultaneous ASL-MRI: proof of concept.
in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism
![publication icon](/resources/img/placeholder-60x60.png)
Alsaedi AF
(2022)
Repeatability of perfusion measurements in adult gliomas using pulsed and pseudo-continuous arterial spin labelling MRI.
in Magma (New York, N.Y.)
![publication icon](/resources/img/placeholder-60x60.png)
Roder C
(2016)
Resting-state functional MRI in an intraoperative MRI setting: proof of feasibility and correlation to clinical outcome of patients.
in Journal of neurosurgery
![publication icon](/resources/img/placeholder-60x60.png)
Shapey J
(2021)
Segmentation of vestibular schwannoma from MRI, an open annotated dataset and baseline algorithm.
in Scientific data
![publication icon](/resources/img/placeholder-60x60.png)
Bishop CA
(2018)
Semi-Automated Analysis of Diaphragmatic Motion with Dynamic Magnetic Resonance Imaging in Healthy Controls and Non-Ambulant Subjects with Duchenne Muscular Dystrophy.
in Frontiers in neurology
![publication icon](/resources/img/placeholder-60x60.png)
Almarzouki A
(2020)
Sensitivity and specificity of blood-fluid levels for oral anticoagulant-associated intracerebral haemorrhage.
in Scientific reports
![publication icon](/resources/img/placeholder-60x60.png)
Ianus A
(2016)
Simulation and Synthesis in Medical Imaging
![publication icon](/resources/img/placeholder-60x60.png)
Klickovic U
(2019)
Skeletal muscle MRI differentiates SBMA and ALS and correlates with disease severity.
in Neurology
![publication icon](/resources/img/placeholder-60x60.png)
![publication icon](/resources/img/placeholder-60x60.png)
Seiffge DJ
(2021)
Small vessel disease burden and intracerebral haemorrhage in patients taking oral anticoagulants.
in Journal of neurology, neurosurgery, and psychiatry
![publication icon](/resources/img/placeholder-60x60.png)
Hazzaa NM
(2019)
Somatotopic organization of corticospinal/corticobulbar motor tracts in controls and patients with tumours: A combined fMRI-DTI study.
in NeuroImage. Clinical
![publication icon](/resources/img/placeholder-60x60.png)
Lane CA
(2017)
Study protocol: Insight 46 - a neuroscience sub-study of the MRC National Survey of Health and Development.
in BMC neurology
![publication icon](/resources/img/placeholder-60x60.png)
Marshall CR
(2016)
Teaching NeuroImages: Nonfluent variant primary progressive aphasia: A distinctive clinico-anatomical syndrome.
in Neurology
![publication icon](/resources/img/placeholder-60x60.png)
![publication icon](/resources/img/placeholder-60x60.png)
Bocchetta M
(2018)
Thalamic atrophy in frontotemporal dementia - Not just a C9orf72 problem.
in NeuroImage. Clinical
![publication icon](/resources/img/placeholder-60x60.png)
Geraldes R
(2018)
The current role of MRI in differentiating multiple sclerosis from its imaging mimics.
in Nature reviews. Neurology
![publication icon](/resources/img/placeholder-60x60.png)
![publication icon](/resources/img/placeholder-60x60.png)
Bugiardini E
(2018)
The Diagnostic Value of MRI Pattern Recognition in Distal Myopathies.
in Frontiers in neurology
![publication icon](/resources/img/placeholder-60x60.png)
Premi E
(2019)
The inner fluctuations of the brain in presymptomatic Frontotemporal Dementia: The chronnectome fingerprint.
in NeuroImage
![publication icon](/resources/img/placeholder-60x60.png)
Goodkin O
(2019)
The quantitative neuroradiology initiative framework: application to dementia.
in The British journal of radiology
![publication icon](/resources/img/placeholder-60x60.png)
Shaikh F
(2020)
The Role of Imaging Biomarkers Derived From Advanced Imaging and Radiomics in the Management of Brain Tumors.
in Frontiers in oncology
![publication icon](/resources/img/placeholder-60x60.png)
Harding SR
(2017)
The TMEM106B risk allele is associated with lower cortical volumes in a clinically diagnosed frontotemporal dementia cohort.
in Journal of neurology, neurosurgery, and psychiatry
![publication icon](/resources/img/placeholder-60x60.png)
Sepehrband F
(2016)
Towards higher sensitivity and stability of axon diameter estimation with diffusion-weighted MRI.
in NMR in biomedicine
![publication icon](/resources/img/placeholder-60x60.png)
Kim M
(2020)
Translating pH-sensitive PROgressive saturation for QUantifying Exchange rates using Saturation Times (PRO-QUEST) MRI to a 3T clinical scanner.
in Magnetic resonance in medicine
![publication icon](/resources/img/placeholder-60x60.png)
Thompson AE
(2016)
Two cases of food aversion with semantic dementia.
in Neurocase
Description | Alzheimer Society - clinical fellowship awarded to Antoinette O Connor |
Amount | £206,040 (GBP) |
Funding ID | 439 |
Organisation | Alzheimer's Society |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 04/2018 |
End | 04/2022 |
Description | Assessing Placental Structure and Function by Unified Fluid Mechanical Modelling and in-vivo MRI |
Amount | £1,124,021 (GBP) |
Funding ID | EP/V034537/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 01/2022 |
End | 07/2024 |
Description | BRC Funding for Software Platform for Longitudinal Qunatitative Neuroradiology |
Amount | £112,728 (GBP) |
Funding ID | BRC612/HEI/JT/110410 |
Organisation | National Institute for Health Research |
Department | UCLH/UCL Biomedical Research Centre |
Sector | Academic/University |
Country | United Kingdom |
Start | 02/2019 |
End | 01/2021 |
Description | BRC Funding for validating biomarkers for clinical trials of genetic therapies in Charcot Marie Tooth Disease type 1A project |
Amount | £77,407 (GBP) |
Funding ID | BRC574/NS/AR/101410 |
Organisation | National Institute for Health Research |
Department | UCLH/UCL Biomedical Research Centre |
Sector | Academic/University |
Country | United Kingdom |
Start | 08/2018 |
End | 07/2020 |
Description | BRC award to UCL/H (Dementia Theme) |
Amount | £5,000,000 (GBP) |
Organisation | National Institute for Health Research |
Department | NIHR Biomedical Research Centre |
Sector | Public |
Country | United Kingdom |
Start | 04/2017 |
End | 04/2022 |
Description | Brain pH Imaging in people with MS to investigate tissue acidosis |
Amount | £39,695 (GBP) |
Funding ID | 125 |
Organisation | Multiple Sclerosis Society |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2020 |
End | 09/2020 |
Description | Does the Gut Microbiome Determine Microgli Function In Amyotrophic Lateral Sclerosis? |
Amount | £1,200,000 (GBP) |
Organisation | Reta Lila Weston Trust For Medical Research |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 06/2017 |
End | 05/2021 |
Description | EC Horizon 2020 PHC 11 |
Amount | € 6,454,612 (EUR) |
Funding ID | Grant agreement 667510 |
Organisation | European Commission |
Sector | Public |
Country | European Union (EU) |
Start | 01/2016 |
End | 12/2019 |
Description | EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging In Healthcare (i4health) |
Amount | £6,034,274 (GBP) |
Funding ID | EP/S021930/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 09/2019 |
End | 03/2028 |
Description | Enabling clinical decisions from low-power MRI in developing nations through image quality transfer |
Amount | £1,020,000 (GBP) |
Funding ID | EP/R014019/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 02/2018 |
End | 01/2021 |
Description | JPND: Stratification of presymptomatic amyotrophic lateral sclerosis: the development of novel imaging biomarkers |
Amount | € 1,600,000 (EUR) |
Funding ID | MR/T046473/1 |
Organisation | JPND Research |
Sector | Academic/University |
Country | Global |
Start | 07/2020 |
End | 07/2023 |
Description | MRC UK DRI Associate Director Award |
Amount | £900,000 (GBP) |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 03/2018 |
End | 03/2022 |
Description | MRC UK Dementia Research Institute Award - Dementia Bench to Bedside |
Amount | £6,000,000 (GBP) |
Organisation | Medical Research Council (MRC) |
Sector | Public |
Country | United Kingdom |
Start | 10/2017 |
End | 10/2022 |
Description | Muscle MRI in Charcot Marie Tooth disease |
Amount | $1,001,314 (USD) |
Funding ID | MDA510281 |
Organisation | Muscular Dystrophy Association |
Sector | Charity/Non Profit |
Country | United States |
Start | 12/2017 |
End | 12/2020 |
Description | Network Accelerate Scheme |
Amount | £249,807 (GBP) |
Funding ID | ARUK-NAS2016B-2 |
Organisation | Alzheimer's Research UK |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2017 |
End | 12/2019 |
Description | New MRI markers for detecting and defining frontotemporal dementias |
Amount | £221,380 (GBP) |
Funding ID | 319 |
Organisation | Alzheimer's Society |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2017 |
End | 12/2020 |
Description | Research Capability Funding |
Amount | £100,000 (GBP) |
Funding ID | BRC345/NS/SB/101410 |
Organisation | National Institute for Health Research |
Department | NIHR Biomedical Research Centre |
Sector | Public |
Country | United Kingdom |
Start | 10/2016 |
End | 03/2018 |
Description | Rosetrees: Detecting and tracking brain changes in early Alzheimer's Disease |
Amount | £248,130 (GBP) |
Funding ID | M668-CD1 |
Organisation | Rosetrees Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 08/2017 |
End | 08/2020 |
Description | Wellcome Institutional Strategic Support Fund: "Computational platform for longitudinal quantitative neuroradiology" |
Amount | £36,822 (GBP) |
Funding ID | ISSF3/H17RCO/005 |
Organisation | Wellcome Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 01/2019 |
End | 12/2019 |
Description | A joint collaborative project, based on the H2020 funded GLINT project will lead us to collaborate on a 2-site clinical trial using the PRISMA scanner |
Organisation | Max Planck Society |
Department | Max Planck Institute for Biological Cybernetics |
Country | Germany |
Sector | Academic/University |
PI Contribution | The partner will provide a pulse sequence to be used on the MRI scanner to establish a 2-site clinical trial. The whole project is explained in details in the H2020 project. |
Collaborator Contribution | See above |
Impact | This collaboration has just started |
Start Year | 2016 |
Description | ARUK MRI protocol harmonisation for dementia |
Organisation | Cardiff University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | PI on this project, aiming to define and harmonise optimised MRI acquisition protocols across 9 different major research sites in the UK |
Collaborator Contribution | This is a collaborative project involving active input from all collaborators |
Impact | Project just started in Oct 2017 so no outputs yet |
Start Year | 2017 |
Description | ARUK MRI protocol harmonisation for dementia |
Organisation | Imperial College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | PI on this project, aiming to define and harmonise optimised MRI acquisition protocols across 9 different major research sites in the UK |
Collaborator Contribution | This is a collaborative project involving active input from all collaborators |
Impact | Project just started in Oct 2017 so no outputs yet |
Start Year | 2017 |
Description | ARUK MRI protocol harmonisation for dementia |
Organisation | King's College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | PI on this project, aiming to define and harmonise optimised MRI acquisition protocols across 9 different major research sites in the UK |
Collaborator Contribution | This is a collaborative project involving active input from all collaborators |
Impact | Project just started in Oct 2017 so no outputs yet |
Start Year | 2017 |
Description | ARUK MRI protocol harmonisation for dementia |
Organisation | Newcastle University |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | PI on this project, aiming to define and harmonise optimised MRI acquisition protocols across 9 different major research sites in the UK |
Collaborator Contribution | This is a collaborative project involving active input from all collaborators |
Impact | Project just started in Oct 2017 so no outputs yet |
Start Year | 2017 |
Description | ARUK MRI protocol harmonisation for dementia |
Organisation | University of Cambridge |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | PI on this project, aiming to define and harmonise optimised MRI acquisition protocols across 9 different major research sites in the UK |
Collaborator Contribution | This is a collaborative project involving active input from all collaborators |
Impact | Project just started in Oct 2017 so no outputs yet |
Start Year | 2017 |
Description | ARUK MRI protocol harmonisation for dementia |
Organisation | University of Edinburgh |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | PI on this project, aiming to define and harmonise optimised MRI acquisition protocols across 9 different major research sites in the UK |
Collaborator Contribution | This is a collaborative project involving active input from all collaborators |
Impact | Project just started in Oct 2017 so no outputs yet |
Start Year | 2017 |
Description | ARUK MRI protocol harmonisation for dementia |
Organisation | University of Manchester |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | PI on this project, aiming to define and harmonise optimised MRI acquisition protocols across 9 different major research sites in the UK |
Collaborator Contribution | This is a collaborative project involving active input from all collaborators |
Impact | Project just started in Oct 2017 so no outputs yet |
Start Year | 2017 |
Description | ARUK MRI protocol harmonisation for dementia |
Organisation | University of Oxford |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | PI on this project, aiming to define and harmonise optimised MRI acquisition protocols across 9 different major research sites in the UK |
Collaborator Contribution | This is a collaborative project involving active input from all collaborators |
Impact | Project just started in Oct 2017 so no outputs yet |
Start Year | 2017 |
Description | Collaboration with Athinoula Martinos Centre for Biomedical Imaging |
Organisation | Harvard–MIT Division of Health Sciences and Technology |
Country | United States |
Sector | Academic/University |
PI Contribution | We validated a new MRI sequence for metabolic imaging using 1H-MR spectroscopy. Emphasis is given on estimating glutamine, glutamate, neuronal markers and lactate in vivo. |
Collaborator Contribution | Our partners created a new MR spectroscopy sequence with novel shimming and editing to quantify metabolites in brain. |
Impact | Two abstracts presented at international radiology meetings and a journal paper under preparation. |
Start Year | 2018 |
Description | Collaboration with Gold Standard Phantoms Ltd |
Organisation | Gold Standard Phantoms Limited |
Country | United Kingdom |
Sector | Private |
PI Contribution | We are working together with GSP for establishment of ASL as a recognised biomarker. We are scanning their phantoms on the PRISMA scanner. |
Collaborator Contribution | GSP Ltd (https://www.goldstandardphantoms.com/) has developed an ASL phantom, and need it to be scanned repetitively on MRI scanners in hospitals. As its CEO, I am therefore collaborating with Prof Yoursy and his team to scan GSP product on the PRISMA system. |
Impact | Ongoing. |
Start Year | 2017 |
Description | Towards End-To-End Calibration of Clinical MRI: NHS England Chief Scientific Officer Knowledge Transfer Programme Associateship |
Organisation | National Physical Laboratory |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Expertise in imaging physics, specifically quantitative MRI biomarkers for clinical service and treatment trial applications Design and delivery of a study evaluating accuracy, precision and reproducibility of in vivo T2 relaxation time mapping as a potential clinical biomarker, in a test-object and human participants. |
Collaborator Contribution | Hosting a national workshop Co-authorship of review paper (in preparation) Expertise in measurement science and test objects calibrated to secondary and primary standards |
Impact | National workshop May 2019 Multidisciplinary linking NHS Healthcare Scientists specialist in imaging physics with measurement scientists at the NPL. |
Start Year | 2018 |