TRD1: Quantitative Imaging of Physiological Markers

TRD 1：生理标志物的定量成像 主要研究者：卢汉章，放射学教授 合作研究者：Jim Pekar、Qin Qin、Jun Hua、Peiying Liu、Wenbo Li 该TRD将开发生理MRI技术， 生物学上可解释的大脑测量。我们将开发出探测基底动脉的方法， 生理参数，包括脑血流量（CBF），药团到达时间（BAT）， 氧提取分数（OEF）和血脑屏障（BBB）通透性。我们将 还开发评估动态生理参数的技术，包括 脑血管反应性（CVR）、动脉搏动性和血管顺应性（VC）。我们 将通过系统地开发新的脉冲序列来实现这些目标， 模型和数据处理方法。让这些复杂的措施 在临床实践时间内获得，快速采集方法将集成到我们的 压缩传感、多频带/多切片、并行 成像、变密度螺旋采样和Stack-of-Star 3D采集。多- 将实现对比成像（例如，将生理成像与解剖成像相结合 MR指纹识别（MRF）提高参数化的速度和可靠性 估计，特别是对于MRF类型的收购，深度学习方法也将 应用。为了确保这些技术用于生物标志物检测的准备就绪， 将进行标准化和兼容性评估，包括内部 会话、会话间、供应商间、评估者间测试-重测和基于云的MRI数据 处理.技术的发展将与密切合作进行。 与合作项目（CP）的互动（所谓的“推拉关系”）， 与其他TRD合作。此外，这些工具一旦经过全面测试， 分发给服务项目（SP）和其他感兴趣的研究人员。

TRD 1: Quantitative Imaging of Physiological Markers Lead Principal investigator: Hanzhang Lu, Professor of Radiology Co-investigators: Jim Pekar, Qin Qin, Jun Hua, Peiying Liu, Wenbo Li This TRD will develop physiological MRI techniques that provide quantitative and biologically interpretable measures of the brain. We will develop methods to probe basal physiological parameters including cerebral blood flow (CBF), bolus arrival time (BAT), oxygen extraction fraction (OEF), and blood-brain barrier (BBB) permeability. We will also develop techniques to assess dynamic physiological parameters including cerebrovascular reactivity (CVR), arterial pulsatility, and vascular compliance (VC). We will achieve these goals through systematic development of novel pulse sequences, models, and data processing methods. To allow these sophisticated measures to be obtained with clinically practical time, fast acquisition methods will be integrated into our techniques such as compressed sensing, multi-band/simultaneous-multi-slice, parallel imaging, variable-density spiral sampling, and stack-of-stars 3D acquisition. Multi- contrast imaging (e.g. combining physiological with anatomic imaging) will be achieved by MR Fingerprinting (MRF). To improve the speed and reliability of parametric estimations, especially for MRF-type of acquisitions, deep learning methods will also be applied. To ensure readiness of these techniques for biomarker testing, small-scale standardization and compatibility assessments will be performed which include intra- session, inter-session, inter-vendor, inter-rater test-retest, and cloud-based MRI data processing. The development of the techniques will be conducted with close interactions (so-called “push-pull relationship”) with the Collaborative Projects (CPs) and in collaboration with other TRDs. Additionally, these tools, once fully tested, will be disseminated to the Service Projects (SPs) and other interested researchers.