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.

摘要 动脉自旋标记(ASL)灌注MRI提供生理性的组织血流量的无创定量 单位为毫升/100g/分钟，使用血液水的磁性标记作为内源性扩散流动示踪剂，是一 在为数不多的生物学基础已知的MRI参数中。ASL核磁共振主要用于大脑 测量脑血流量(CBF)，这是脑血管生物标志物的关键生理参数 在基础和临床神经科学研究中具有广泛应用的完整性和局部脑功能 以及在临床护理方面。ASL MRI最初是由我们在宾夕法尼亚大学的实验室构思的， 我们负责展示其在生物医学中的许多技术进步和应用 研究。尽管ASL MRI已经转化为临床使用，但商业ASL MRI技术却失败了 以跟上研究进展。 为了响应特殊的资助机制：PAR-18-530，这个学术产业伙伴项目将 提供专用资源以进一步开发、维护和交付最先进的ASL MRI采集和 应用最广泛的西门子MRI平台临床研究处理技术 神经科学的平台。需要一个学术的产业伙伴关系，因为商业的市场力量 磁共振成像技术一直不足以推动最先进的ASL磁共振成像能力的发展 产品序列，但需要学术界和产业界的密切合作才能提供简化的 向用户提供的功能。由此产生的技术将通过一个 西门子开发的新代码交换平台。 虽然一个主要的创新将是提供一个免费的ASL MRI软件包，具有最先进的 最大限度地提高敏感度、空间和时间分辨率以及对伪像的稳健性以满足不断变化的需求的方法 下一代局部脑血流量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是 提出了实现更高的空间和时间分辨率，更快的在线图像重建，并改进了 对人工制品的健壮性超过了目前可能的水平。 拟议的联盟将利用调查小组的跨学科专业知识，提供可靠的、 可重复、灵活和用户友好的技术，用于量化大脑健康和功能的关键参数 这也有许多临床应用，包括对脑瘤和其他器官系统的评估。 我们的初步数据和ASL MRI技术的记录支持了拟议工作的可行性 发展和传播。