TRD1: Quantitative Imaging of Physiological Markers

TRD1：生理标记物的定量成像 首席研究员：吕汉章，放射学教授 共同调查人员：吉姆·佩卡、秦勤、俊华、刘培英、李文波 这项TRD将开发生理MRI技术，提供定量和 对大脑的生物可解释的测量。我们将开发探测基础的方法 生理参数包括脑血流量(CBF)、给药到达时间(BAT)、 氧提取分数(OEF)和血脑屏障通透性(BBB)。我们会 还开发了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。允许这些复杂的措施成为 随着临床实际时间的推移，快速采集方法将被集成到我们的 压缩感知、多频段/同时多切片、并行等技术 成像、可变密度螺旋采样和星堆3D采集。多个- 将实现对比成像(例如，将生理成像与解剖成像相结合) 通过MR指纹识别(MRF)。提高参数设置的速度和可靠性 估计，特别是对于MRF类型的收购，深度学习方法也将是 已申请。为了确保这些技术为生物标志物检测做好准备，小规模 将进行标准化和兼容性评估，包括内部 课程、课程间、供应商间、评分者间测试-重新测试，以及基于云的MRI数据 正在处理。这些技术的开发将密切进行 与协作项目(CP)的互动(所谓的“推拉关系”)和 与其他TRD合作。此外，这些工具一旦经过充分测试，将 传播给服务项目(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.