MR fingerprinting (MRF) perfusion imaging in cerebral vascular disease

磁共振指纹（MRF）灌注成像在脑血管疾病中的应用

• 批准号: 10152680
• 负责人: Hanzhang Lu
• 金额: $ 47.99万
• 依托单位: JOHNS HOPKINS UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-07-01 至 2023-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10152680
• 关键词: Acute; Adopted; Allergic Reaction; Alteplase; Alzheimer' s Disease; American; Attention deficit hyperactivity disorder; Blood Pressure; Blood Volume; Bolus Infusion; Brain; Brain Diseases; Brain Neoplasms; Cause of Death; Cerebrovascular Circulation; Cerebrovascular Disorders; Cerebrum; Clinical; Cognitive; Communities; Contrast Media; Data; Development; Diagnosis; Disease; Evaluation; Fingerprint; Gadolinium; Glomerular Filtration Rate; Goals; Health; Huntington Disease; Injections; Intravenous; Ischemic Penumbra; Ischemic Stroke; Length; Magnetic Resonance Imaging; Maps; Measurement; Measures; Mental Depression; Mental disorders; Methods; Modeling; Neurodegenerative Disorders; Operating System; Outcome; Parkinson Disease; Patients; Perfusion; Pharmacology; Phase; Physiologic pulse; Play; Predisposition; Property; Protons; Recurrence; Research; Research Personnel; Resolution; Role; Scanning; Scheme; Schizophrenia; Scientist; Series; Signal Transduction; Spin Labels; Standardization; Stroke; Techniques; Therapeutic Studies; Thrombectomy; Time; Training; Travel; United States; Validation; Vascular blood supply; Work; acute stroke; alternative treatment; analysis pipeline; autism spectrum disorder; base; blood flow measurement; brain tissue; cerebral blood volume; clinical application; clinical practice; clinical predictors; cloud based; density; disability; experience; hemodynamics; human error; interest; nervous system disorder; novel; patient stratification; perfusion imaging; stroke clinical trials; stroke patient; temporal measurement; tool; treatment strategy; tumor; virtual; web site

Project Summary/Abstract: Ischemic stroke is a major health problem worldwide. In the United States, it is the fourth leading cause of death and the leading cause of major disability. It is estimated that more than 700,000 Americans experience new or recurrent stroke each year. Perfusion imaging plays an important role in virtually all stages of stroke and related cerebrovascular diseases. At present, most clinical perfusion imaging requires the use of contrast agents, e.g. gadolinium (Gd) in MRI. However, Gd perfusion MRI cannot be used or fails to be used in 10-20% of patients, due to a variety of reasons, such as allergic reactions, low glomerular filtration rate, difficulties in placing an intravenous line that is suitable for a rapid injection, or human errors in the timing of injection. Therefore, an alternative technique to Gd-perfusion will benefit a substantial number of patients in clinical practice. Arterial Spin Labeling (ASL) MRI allows for non-contrast evaluation of cerebral blood flow (CBF). However, in its current form, it cannot provide information equivalent to that obtained by contrast-agent-based perfusion imaging. This is because CBF is of limited value in stroke delineation. The most useful parameter in Gd- perfusion is Tmax or bolus-arrive-time (BAT), yet they cannot be measured reliably with current ASL methods. This application will develop a novel non-contrast perfusion technique that applies a new principle of MR fingerprinting (MRF) to ASL. The major strength of this technique is that it allows for simultaneous estimations of six parameters, CBF, BAT, T1, B1+, blood volume, and arterial travel time, in a single scan. Aim 1 is the development of the MRF-ASL MRI technique. We will develop MRF-ASL sequence timing for efficient encoding of perfusion parameters. We will also develop k-space undersampling strategies to obtain high spatial resolution perfusion imaging without increasing echo-train length. We will conduct validation of the technique using Gd-based perfusion MRI. Aim 2 of this project will develop a cloud-based ASL analysis platform that can provide researchers and clinicians with an installation-free, operating-system independent tool for ASL analysis (of MRF-ASL as well as all other types of ASL data). Our clinical team at Johns Hopkins has a long-standing interest in mechanistic and therapeutic studies of sub-acute stroke. Therefore, Aim 3 of the present project is to demonstrate the initial clinical utility of the technique in sub-acute stroke. Finally, it should be emphasized that, although the present project focuses on its clinical applications in cerebrovascular diseases, the method developed also has important utility in other brain diseases, such neurodegenerative diseases (e.g. Alzheimer’s, Parkinson’s, Huntington’s diseases), psychiatric diseases (e.g. schizophrenia, depression, autism, ADHD), and tumor (primary and metastatic brain tumor). Thus, this technique is expected to have a broad clinical impact.

项目摘要/摘要： 缺血性中风是世界范围内的一个主要健康问题，在美国，它是第四大原因。 据估计，有超过 700,000 名美国人经历过这种情况。 每年都有新发或复发的中风，灌注成像在中风的几乎所有阶段都发挥着重要作用。 以及相关的脑血管疾病。 目前，大多数临床灌注成像需要使用造影剂，例如钆（Gd）。 然而，由于各种原因，10-20%的患者不能使用Gd灌注MRI。 原因，例如过敏反应、肾小球滤过率低、放置静脉导管困难等 适合于快速注射，或人为错误的注射时机，因此有一种替代技术。 钆灌注将在临床实践中使大量患者受益。 动脉旋转标记 (ASL) MRI 可以对脑血流 (CBF) 进行非对比评估。 以目前的形式，它无法提供与基于造影剂的灌注获得的信息相当的信息 这是因为 CBF 在描画中的价值有限。 Gd- 中最有用的参数。 灌注是 Tmax 或推注到达时间 (BAT)，但目前的 ASL 方法无法可靠地测量它们。 该应用将开发一种应用 MR 新原理的新型非造影灌注技术 指纹识别 (MRF) 到 ASL 该技术的主要优点是它允许同时估计。 目标 1 是单次扫描中的六个参数：CBF、BAT、T1、B1+、血容量和动脉行程时间。 MRF-ASL MRI 技术的开发 我们将开发 MRF-ASL 序列计时以实现高效。 我们还将开发 k 空间欠采样策略以获得高值。 我们将在不增加回波序列长度的情况下进行空间分辨率灌注成像。 该项目的目标 2 将开发基于云的 ASL 分析。 可以为研究人员提供免安装、独立于操作系统的平台 ASL 分析工具（MRF-ASL 以及所有其他类型的 ASL 数据）。 对亚急性中风的机制和治疗研究有着长期的兴趣，因此，目标 3。 目前的项目是展示该技术在亚急性中风中的初步临床应用。 最后，应该强调的是，虽然本项目侧重于其临床应用 除了脑血管疾病之外，所开发的方法在其他脑部疾病中也具有重要的用途，例如 神经退行性疾病（例如阿尔茨海默病、帕金森病、亨廷顿病）、精神疾病（例如精神疾病） 精神分裂症、抑郁症、自闭症、多动症）和肿瘤（原发性和转移性脑肿瘤）。 预计该技术将产生广泛的临床影响。