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Controlling structure induced variations in non-invasive perfusion MRI of neurodegeneration

Controlling structure induced variations in non-invasive perfusion MRI of neurodegeneration
控制结构引起的神经变性无创灌注 MRI 变化
批准号:
EP/P012361/2
负责人:
Michael Chappell
金额:
$25.81万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --

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中文摘要
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英文摘要
Perfusion imaging allows us to measure the vital role played by delivery of blood to the brain in keeping it supplied with nutrients and removal of waste. Any deviations of the blood supply from normal can be a sign of disease. In particular early and subtle changes in perfusion might mark regions of the brain which are affected by degenerative diseases such as dementia before other imaging signs become obvious.The technology exists and is increasingly widely available to image perfusion quickly and safely using Magnetic Resonance Imaging. Thus perfusion Magnetic Resonance Imaging could be a valuable tool in the understanding of dementias, as well as the diagnosis and monitoring of patients with dementia. The challenge that remains is making sufficiently specific measurements of subtle changes in blood supply that would be needed to make the technology truly useful for patients. This project addresses that problem in three ways:> Automated removal of errors associated with imperfect measurement, for example due to motion of the patient.> Methods to control for differences between patients due to their individual brain structure, allowing blood supply measurements to be compared between individuals or from a patient to a population of similar healthy adults. These methods remove uncertainties introduced by other differences between the brain's of individuals that are not related to perfusion.> Generation of personalised reference perfusion images for an individual patient against which their measured perfusion can be compared to detect changes specific to that individual.The methods and tools that are to be generated in this project will enable perfusion Magnetic Resonance Imaging to be used more effectively in the UK-wide effort to understand dementia and in the search for new and effective treatments. Ultimately the work done in this project will enable perfusion Magnetic Resonance Imaging to become a valuable clinical tool that can be used in the diagnosis and monitoring of individual patients with dementia.
期刊论文(10)
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会议论文
Toblerone: Surface-Based Partial Volume Estimation.
Toblerone:基于表面的部分体积估计。
DOI: 10.1109/tmi.2019.2951080
发表时间: 2020
期刊: IEEE transactions on medical imaging
影响因子: 10.6
作者: [Kirk TF]
通讯作者: Kirk TF
Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 - 26th International Conference, Vancouver, BC, Canada, October 8-12, 2023, Proceedings, Part VIII
医学图像计算和计算机辅助干预 - MICCAI 2023 - 第 26 届国际会议,加拿大不列颠哥伦比亚省温哥华,2023 年 10 月 8-12 日,会议记录,第八部分
DOI: 10.1007/978-3-031-43993-3_39
发表时间: 2023
期刊:
影响因子: --
作者: [Kirk T]
通讯作者: Kirk T
DOI: 10.1016/j.neuroimage.2021.118236
发表时间: 2021-06-08
期刊: NEUROIMAGE
影响因子: 5.7
作者: [Chappell, Michael A., Kennedy McConnell, Flora A., Asllani, Iris]
通讯作者: Asllani, Iris
DOI: 10.1016/j.neurobiolaging.2021.04.008
发表时间: 2021-09
期刊: Neurobiology of aging
影响因子: 4.2
作者: [Knight SP, Laird E, Williamson W, O'Connor J, Newman L, Carey D, De Looze C, Fagan AJ, Chappell MA, Meaney JF, Kenny RA]
通讯作者: Kenny RA
8
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