The UK7T Network: developing the ultra-high field MRI platform for biomedical research.
UK7T Network:开发用于生物医学研究的超高场 MRI 平台。
基本信息
- 批准号:MR/N008537/1
- 负责人:
- 金额:$ 133.81万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Research Grant
- 财政年份:2016
- 资助国家:英国
- 起止时间:2016 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Ultra-high field (UHF) magnetic resonance imaging (MRI) is an area of intensive international research, representing the cutting edge of biomedical imaging in human subjects. 7T scanners have evolved significantly over the last decade as they undergo the transition from bespoke research systems to turn-key clinical research tools, and are now poised to deliver a range of vanguard translational applications. The MRC recently recognised the strategic importance of UHF research to the future of biomedical imaging by investing in expanded 7T capability across the UK through the Clinical Research Infrastructure Initiative (CRII). As result of the CRII, and additional governmental and institutional funding, the number of 7T scanners in the UK will increase from two to five by 2016. With this enhancement of national infrastructure there will be an accompanying shift in focus in UHF MR research from technical development to clinical application. These developments reflect the growing consensus that widespread translational application of UHF MR is on the horizon, and that the UK is well placed to play a major role in realising this goal. Success in this regard will require the UK's five 7T sites (Cambridge, Cardiff, Glasgow, Nottingham and Oxford) to work together to tackle the challenges associated with moving to clinical applications of UHF MR. We therefore propose to establish a UK7T Network that will share expertise, build capacity, and develop harmonized approaches to image data acquisition, sharing and analysis that can be deployed in multi-site, clinical studies. Once established, the UK7T Network will serve as a platform for future UK-wide, collaborative research programmes in 7T magnetic resonance. The proposed Partnership Grant will allow us to meet the following objectives in initiating the UK7T Network.1) We will increase the level of expertise in UHF magnetic resonance that the UK 7T sites can call upon, by sharing the experience that has been built up at the two established 7T sites, training a cohort of postdoctoral researchers and delivering a programme of targeted UHF training workshops. 2) We will organise a series of UHF symposia and workshops, establish a Network Advisory Committee and open up access to 7T scanning for pilot studies, to ensure that the wider community of researchers in the UK who develop and apply MR have the opportunity to exploit the UK's investment in 7T infrastructure. 3) We will produce a set of optimised 7T protocols for brain imaging that can be used by all of the 7T sites. These will include: (i) relatively straightforward anatomical and functional brain imaging methods that can applied quickly; (ii) more advanced methods, such as diffusion imaging and arterial spin labelling, that require additional development work; (iii) standardised quality assurance protocols that can be used to maintain a high level of scanner performance at all sites. 4) We will work with the Dementias Platform UK's national image sharing and analysis platform to develop the capability to share and aggregate data acquired across the UK7T Network sites, and to develop analysis pipelines that are optimised for 7T data. 5) We will demonstrate that the UK7T Network can act as a platform for large-scale multi-site studies by evaluation of two demonstrator cohorts: (i) a core data-set of high-resolution anatomical brain images from 1000 healthy adults across the age lifespan, including at least 100 data-sets from healthy subjects in the 50-80 years age range; (ii) a pilot clinical study of twenty five, early-stage Alzheimer's disease patients. 6) We will establish a robust UK7T Network management structure that will support the development and exploitation of the UK's UHF infrastructure, through the period of the Partnership Grant and beyond.
超高场(UHF)磁共振成像(MRI)是一个密集的国际研究领域,代表了人类受试者生物医学成像的前沿。7 T扫描仪在过去十年中经历了从定制研究系统到交钥匙临床研究工具的转变,并已取得重大进展,现在有望提供一系列前沿转化应用。MRC最近认识到UHF研究对生物医学成像未来的战略重要性,通过临床研究基础设施计划(CRII)在英国投资扩大7 T能力。由于CRII以及额外的政府和机构资助,到2016年,英国的7 T扫描仪数量将从2台增加到5台。随着国家基础设施的加强,UHF MR研究的重点将从技术开发转向临床应用。这些发展反映了越来越多的共识,即UHF MR的广泛翻译应用即将到来,英国在实现这一目标方面将发挥重要作用。在这方面的成功将需要英国的五个7 T网站(剑桥、卡迪夫、格拉斯哥、诺丁汉和牛津)共同努力,应对与超高频MR临床应用相关的挑战。因此,我们建议建立一个UK 7 T网络,该网络将共享专业知识,建设能力,并开发可在多个地点部署的图像数据采集、共享和分析的协调方法,临床研究。一旦建立,UK 7 T网络将成为未来英国范围内7 T磁共振合作研究计划的平台。拟议的伙伴关系赠款将使我们能够在启动UK 7 T网络时实现以下目标。1)我们将通过分享在两个已建立的7 T站点建立的经验,培训一批博士后研究人员并提供有针对性的UHF培训研讨会计划,提高英国7 T站点可以调用的UHF磁共振专业知识水平。2)我们将组织一系列UHF研讨会和研讨会,建立网络咨询委员会,并开放7 T扫描的试点研究,以确保英国开发和应用MR的更广泛的研究人员有机会利用英国在7 T基础设施方面的投资。3)我们将制定一套优化的7 T脑成像方案,可供所有7 T站点使用。这些措施包括:(i)可快速应用的相对简单的解剖学和功能性脑成像方法;(ii)需要额外开发工作的更先进的方法,例如扩散成像和动脉自旋标记;(iii)可用于在所有站点保持高水平扫描仪性能的标准化质量保证协议。4)我们将与Dementias Platform UK的国家图像共享和分析平台合作,开发共享和汇总UK 7 T网络站点获取的数据的能力,并开发针对7 T数据优化的分析管道。5)我们将证明UK 7 T网络可以作为一个平台,通过评估两个示范队列进行大规模的多站点研究:(i)来自1000名健康成年人的高分辨率解剖脑图像的核心数据集,包括至少100个来自50-80岁健康受试者的数据集;(ii)对25名早期阿尔茨海默病患者进行的初步临床研究。6)我们将建立一个强大的UK 7 T网络管理结构,以支持英国UHF基础设施的开发和利用,通过合作伙伴关系赠款期间及以后。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Inter-site repeatability of motor-visual task fMRI responses at 7 Tesla.
7 特斯拉时运动视觉任务 fMRI 响应的站点间可重复性。
- DOI:
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:[]
- 通讯作者:[]
Variability of B1+ and B0 fields in the human brain at 7T.
7T 时人脑 B1 和 B0 场的变化。
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Clarke W
- 通讯作者:Clarke W
A comparison of distortion correction methods for EPI fMRI applied across three 7T platforms
三个 7T 平台上应用的 EPI fMRI 畸变校正方法的比较
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Driver I
- 通讯作者:Driver I
Cardiac-induced pulsatility of blood flow resolved in sub-millimeter cerebral veins using phase contrast MRI at 7 Tesla.
使用 7 特斯拉相位对比 MRI 解析了亚毫米脑静脉中心脏引起的血流脉动。
- DOI:
- 发表时间:2017
- 期刊:
- 影响因子:0
- 作者:Driver ID
- 通讯作者:Driver ID
The UK7T Network - optimized design of a multi-site, multi-vendor travelling heads study.
UK7T 网络 - 多站点、多供应商游动头研究的优化设计。
- DOI:
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Clarke W
- 通讯作者:Clarke W
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Richard Bowtell其他文献
The UK National Quantum Technologies Hub in sensors and metrology (Keynote Paper)
英国国家传感器和计量量子技术中心(主题论文)
- DOI:
10.1117/12.2232143 - 发表时间:
2016 - 期刊:
- 影响因子:4.6
- 作者:
K. Bongs;V. Boyer;Cruise;A. Freise;M. Holynski;J. Hughes;A. Kaushik;Y. Lien;A. Niggebaum;M. Perea;Plamen G. Petrov;S. Plant;Y. Singh;A. Stabrawa;Douglas J. Paul;M. Sorel;David R. S. Cumming;J. H. Marsh;Richard Bowtell;M. Bason;R. Beardsley;R. Campion;Matthew J. Brookes;T. Fernholz;T. Fromhold;Lucia Hackermüller;Peter Krüger;X. Li;J. O. Maclean;C. J. Mellor;Sergei V. Novikov;F. Oručević;A. Rushforth;N. Welch;Trevor M. Benson;Ricky D. Wildman;T. Freegarde;J. M. Himsworth;J. Ruostekoski;Peter Smith;A. Tropper;Paul F. Griffin;Aidan S. Arnold;Erling Riis;J. Hastie;D. Paboeuf;D. C. Parrotta;B. Garraway;A. Pasquazi;M. Peccianti;W. Hensinger;E. Potter;A. H. Nizamani;H. Bostock;A. Blanco;G. Sinuco;I. Hill;R. A. Williams;Patrick Gill;N. Hempler;Graeme P. A. Malcolm;T. Cross;B. O. Kock;S. Maddox;Phillip John - 通讯作者:
Phillip John
Colourful future for MRI
磁共振成像的多彩未来
- DOI:
10.1038/453993a - 发表时间:
2008-06-18 - 期刊:
- 影响因子:48.500
- 作者:
Richard Bowtell - 通讯作者:
Richard Bowtell
MRI rides the wave
磁共振成像顺应潮流
- DOI:
10.1038/457971a - 发表时间:
2009-02-18 - 期刊:
- 影响因子:48.500
- 作者:
Paul Glover;Richard Bowtell - 通讯作者:
Richard Bowtell
Optimising the sensitivity of optically-pumped magnetometer magnetoencephalography to gamma band electrophysiological activity
优化光泵磁力计脑磁图对伽马带电生理活动的灵敏度
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Ryan M. Hill;Holly Schofield;E. Boto;Lukas Rier;James Osborne;Cody Doyle;Frank Worcester;Tyler Hayward;N. Holmes;Richard Bowtell;V. Shah;Matthew J. Brookes - 通讯作者:
Matthew J. Brookes
Optically pumped magnetometers: From quantum origins to multi-channel magnetoencephalography
- DOI:
10.1016/j.neuroimage.2019.05.063 - 发表时间:
2019-10-01 - 期刊:
- 影响因子:
- 作者:
Tim M. Tierney;Niall Holmes;Stephanie Mellor;José David López;Gillian Roberts;Ryan M. Hill;Elena Boto;James Leggett;Vishal Shah;Matthew J. Brookes;Richard Bowtell;Gareth R. Barnes - 通讯作者:
Gareth R. Barnes
Richard Bowtell的其他文献
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{{ truncateString('Richard Bowtell', 18)}}的其他基金
Understanding and reducing artefacts in simultaneously acquired EEG and fMRI data
了解并减少同时采集的脑电图和功能磁共振成像数据中的伪影
- 批准号:
EP/J006823/1 - 财政年份:2012
- 资助金额:
$ 133.81万 - 项目类别:
Research Grant
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