Academic Industrial Partnership on Advanced Perfusion MRI

高级灌注 MRI 学术工业合作伙伴关系

• 批准号: 10365824
• 负责人: Yulin V Chang
• 金额: $ 60.73万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-05-01 至 2026-01-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10365824
• 关键词: Academia; Address; Algorithms; Biological; Biological Markers; Biomedical Research; Blood; Blood flow; Brain; Brain Neoplasms; Cerebrovascular Circulation; Charge; Clinical; Clinical Research; Code; Collaborations; Complex; Computer Hardware; Computer software; Consumption; Data; Development; Diagnosis; Diffuse; Environment; Evaluation; Funding Mechanisms; Image; Industry; Label; Laboratories; Machine Learning; Magnetic Resonance Imaging; Magnetism; Maps; Maryland; Measurement; Measures; Medical; Methodology; Methods; Morphologic artifacts; Motion; Neurosciences; Neurosciences Research; Organ; Pennsylvania; Perfusion; Physiological; Process; Radiology Specialty; Reproducibility; Research; Research Personnel; Resolution; Resources; Running; Scheme; Severities; Signal Transduction; Site; System; Technology; Three-Dimensional Imaging; Time; Tissues; Tracer; Translating; United States National Institutes of Health; Universities; Vendor; Water; Work; arterial spin labeling; base; body system; brain health; cerebrovascular; cerebrovascular health; clinical application; clinical care; cognitive neuroscience; community engaged research; deep learning; flexibility; image reconstruction; improved; industry partner; innovation; neuroimaging; next generation; novel; perfusion imaging; prospective; real-time images; reconstruction; relating to nervous system; response; signal processing; technology development; temporal measurement; tumor; user-friendly

SUMMARY Arterial spin labeled (ASL) perfusion MRI provides noninvasive quantification of tissue blood flow in physiological units of ml/100g/min using magnetic labeling of blood water as an endogenous diffusible flow tracer, and is one of the few MRI parameters whose biological basis is known. ASL MRI has primarily been used in the brain to measure cerebral blood flow (CBF), a key physiological parameter that serves a biomarker of cerebrovascular integrity and regional brain function with a broad range of applications in basic and clinical neuroscience research and in clinical care. ASL MRI was originally conceived by our laboratory at the University of Pennsylvania, and we have been responsible for demonstrating many of its technical advances and applications in biomedical research. Although ASL MRI has been translated to clinical use, commercial ASL MRI technologies have failed to keep up with research progress. In response to the special funding mechanism: PAR-18-530, this Academic Industrial Partnership project will provide dedicated resources to further develop, maintain, and deliver state-of-the-art ASL MRI acquisition and processing technologies for clinical research on the Siemens MRI platform, which is the most widely used MRI platform in neuroscience. An Academic Industrial Partnership is needed because market forces for commercial MRI technologies have been insufficient to drive the development of state-of-the-art ASL MRI capabilities in product sequences, yet close collaboration between academia and industry are required to deliver a streamlined capability to users. The resulting technologies will be disseminated free of charge to research sites through a new code exchange platform developed by Siemens. While a major innovation will be the delivery of a free ASL MRI software package featuring state-of-the-art approaches to maximize sensitivity, spatial and temporal resolution, and robustness to artifacts to meet evolving research and clinical requirements for noninvasive quantification of regional cerebral blood flow, next-generation approaches leveraging deep machine learning and other improved computing hardware and algorithms are also proposed to achieve higher spatial and temporal resolution, faster online image reconstructions, and improved robustness to artifacts than are currently possible. The proposed alliance will leverage the interdisciplinary expertise of the investigative team to provide a reliable, reproducible, flexible and user friendly technology for quantifying a key parameter of brain health and function that also has numerous clinical applications, including the evaluation of brain tumors and other organ systems. The feasibility of the proposed work is supported by our preliminary data and track record of ASL MRI technology development and dissemination.

概括 动脉自旋标记 (ASL) 灌注 MRI 可对生理状态下的组织血流进行无创定量 ml/100g/min 单位，使用血水磁性标记作为内源性扩散流量示踪剂，并且是 生物学基础已知的少数 MRI 参数。 ASL MRI 主要用于大脑 测量脑血流量 (CBF)，这是一个关键的生理参数，可作为脑血管的生物标志物 完整性和区域脑功能在基础和临床神经科学研究中具有广泛的应用 和临床护理。 ASL MRI 最初是由我们宾夕法尼亚大学的实验室构思的， 我们一直负责展示其在生物医学领域的许多技术进步和应用 研究。尽管 ASL MRI 已转化为临床应用，但商业 ASL MRI 技术却失败了 跟上研究进展。 为了响应特别资助机制：PAR-18-530，该学术工业合作项目将 提供专用资源来进一步开发、维护和提供最先进的 ASL MRI 采集和 西门子 MRI 平台上用于临床研究的处理技术，该平台是使用最广泛的 MRI 神经科学平台。需要学术工业合作伙伴关系，因为商业的市场力量 MRI 技术还不足以推动最先进的 ASL MRI 功能的发展 产品序列，但需要学术界和工业界之间的密切合作来提供简化的 给用户的能力。由此产生的技术将通过 西门子开发的新代码交换平台。 一项重大创新将是提供免费的 ASL MRI 软件包，该软件包具有最先进的功能 最大限度地提高灵敏度、空间和时间分辨率以及对工件的鲁棒性的方法，以满足不断发展的需求 下一代局部脑血流无创定量的研究和临床要求 利用深度机器学习和其他改进的计算硬件和算法的方法也 提出实现更高的空间和时间分辨率、更快的在线图像重建，并改进 对工件的鲁棒性比当前可能的强。 拟议的联盟将利用调查团队的跨学科专业知识来提供可靠的、 可重复、灵活且用户友好的技术，用于量化大脑健康和功能的关键参数 它还具有许多临床应用，包括评估脑肿瘤和其他器官系统。 我们的初步数据和 ASL MRI 技术的跟踪记录支持了拟议工作的可行性 的发展和传播。