Motion robust quantitative MRI of the brain at 7T

1)简要描述研究的背景，包括潜在的影响本项目将解决运动对7 T大脑定量MRI的影响。在与西门子的合作中，我们之前已经证明，运动是有问题的，不仅因为编码错误，而且因为位置相关的发送和接收字段（1，2）。消除这些问题将有利于寻求识别神经变性的椎板特异性特征的临床研究，包括局部进行的亨廷顿病、家族性阿尔茨海默病、帕金森病和癫痫的研究。2）目的和目标时间表第1年：学生将完成他们的研究硕士学位，教学模块包括医学成像和人工智能，以及一个独立的研究项目，将评估低等级重建的效用。第二年：学生将开始博士本身，并建立在前一年的工作，重新审视如何获取数据，并定义最佳的采样方案，最大限度地减少采集时间，并因此降低了扫描内运动的风险，同时保持了图像质量。学生还将开始制定数据的生成模型，其中包含允许扫描间运动的对比度特定发射和接收场效应。第三年：学生将评估采样方案如何在造影剂之间变化，并用于联合重建，以进一步减轻扫描内运动敏感性，同时确保多参数图的准确和可重复量化。生成模型将被训练以学习数据的协方差结构，以便能够在新数据中插补值。第4年：生成模型将用于补偿扫描间和扫描内运动，以生成最终可部署的协议。论文将被写入和所有出版物定稿（如果尚未完成）。3）研究方法的新奇该项目将利用定量MRI由多次采集组成的事实，并建立这些数据及其协方差的生成模型，以利用这提供的冗余。4）与EPSRC的战略和研究领域保持一致该项目的目标有可能在医疗保健转型方面产生世界级的影响;提高高场MRI的质量和能力，这些解决方案也可以应用于低场MRI。5）任何参与的公司或合作者该项目将与西门子医疗公司密切合作，西门子医疗公司为该学生提供部分资金。[10]杨文，李文.通过考虑接收线圈灵敏度效应校正定量R1标测中的扫描间运动伪影。医学中的磁共振2016;76（5）：1478-1485。doi：10.1002/mrm.260582。Balbastre Y，Aghaeifar A，Corbin N，Brudfors M，Ashburner J，Callaghan MF.校正7 T下定量R1标测中的扫描间运动伪影。医学中的磁共振2022;88（1）：280-291。doi：10.1002/mrm.29216”

1) Brief Description of the context of the research including potential impactThis project will be addressing the effects of motion on quantitative MRI of the brain at 7T. In collaboration with Siemens, we have previously shown that motion is problematic not only because of encoding errors, but also because of position-dependent transmit and receive fields (1,2). Eliminating these problems would benefit clinical studies that seek to identify laminar-specific signatures of neurodegeneration, including such studies of Huntington's Disease, familial Alzheimer's Disease, Parkinson's and Epilepsy running locally.2) Aims and ObjectivesTimelineYear 1: The student will have completed their Master of Research with taught modules encompassing medical imaging and AI, as well as a self-contained research project that will assess the utility of low rank reconstructions.Year 2: The student will commence the PhD itself and build on the work from the previous year by revisiting how the data are acquired and define optimal sampling schemes that minimise acquisition times, and therefore the risk of intra-scan motion, while preserving image quality. The student will also start to formulate the generative model of the data incorporating contrast-specific transmit and receive field effects that allow for inter-scan motion. An updated protocol will be deployed.Year 3: The student will assess how sampling schemes might change across contrasts and be used in a joint reconstruction to further mitigate intra-scan motion-sensitivity while ensuring accurate and reproducible quantification of multi-parameter maps. The generative model will be trained to learn the covariance structure of the data such that it would then be able to impute values in novel data.Year 4: The generative model will be used to compensate for for inter- and intra-scan motion to produce a final deployable protocol. The thesis will be written and all publications finalised (if not already completed).3) Novelty of Research MethodologyThe project will exploit the fact that quantitative MRI is comprised of multiple acquisition and establish a generative model of these data, and their covariance, in order to exploit the redundancy that this affords.4)Alignment to EPSRC's strategies and research areasThe objectives of this project have the potential to have a world-class impact in transforming healthcare; enhancing quality and capabilities of the high-field MRI, where these solutions can be applied to lower-field MRI as well.5)Any companies or collaborators involvedThe project will be conducted in close collaboration with Siemens Healthineers, who are part-funding the studentship.References1. Papp D, Callaghan MF, Meyer H, Buckley C, Weiskopf N. Correction of inter-scan motion artifacts in quantitative R1 mapping by accounting for receive coil sensitivity effects. Magnetic Resonance in Medicine. 2016;76(5):1478-1485. doi:10.1002/mrm.260582. Balbastre Y, Aghaeifar A, Corbin N, Brudfors M, Ashburner J, Callaghan MF. Correcting inter-scan motion artifacts in quantitative R1 mapping at 7T. Magnetic Resonance in Medicine. 2022;88(1):280-291. doi:10.1002/mrm.29216"