Quantitative Blood Flow Imaging using Spin Labeled MR Fingerprinting

使用旋转标记 MR 指纹进行定量血流成像

• 批准号: 9016765
• 负责人: Luis Hernandez-Garcia
• 金额: $ 21.29万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-03-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9016765
• 关键词: Adopted; Agreement; Alzheimer' s Disease; Biological Markers; Blood; Blood Vessels; Blood Volume; Blood flow; Bolus Infusion; Brain; Cerebrovascular Circulation; Clinic; Clinical; Clinical Research; Communities; Computer software; Contrast Media; Data; Development; Diagnosis; Dictionary; Disease; Early Diagnosis; Equation; Face; Fingerprint; Frequencies; Gadolinium; Genetic Programming; Health; Human Volunteers; Image; Imaging Techniques; Injection of therapeutic agent; Label; Link; Magnetic Resonance; Magnetic Resonance Imaging; Malignant Neoplasms; Maps; Measurement; Measures; Mental disorders; Metabolic; Methods; Morphologic artifacts; Multiple Sclerosis; Noise; Organ; Perfusion; Physicians; Physiologic pulse; Population; Positron-Emission Tomography; Prevalence; Process; Protocols documentation; Radioactive; Regulation; Reproducibility; Research Personnel; Resolution; Risk; Scanning; Scheme; Scientist; Signal Transduction; Site; Speed; Spin Labels; Staging; Stroke; Techniques; Time; Tissues; Toxic effect; Tracer; Translating; Treatment Efficacy; Validation; Water; White Matter Disease; base; brain tissue; cerebral hemodynamics; cognitive function; gadolinium oxide; hemodynamics; non-invasive imaging; public health relevance; quantitative imaging; radiofrequency; success; tool; validation studies; white matter

 DESCRIPTION (provided by applicant): There is a clear need for a robust method to image cerebral hemodynamics to better understand disease processes, as well as to develop early stage disease biomarkers. Many diseases like cancer and stroke are characterized by deficits in perfusion and changes in other blood flow related parameters. There is also mounting evidence suggesting that poor regulation of cerebral blood flow is closely linked to the development of several diseases whose prevalence is on the rise, like multiple sclerosis and Alzheimer's disease. While routine clinical perfusion imaging is cumbersome and requires the injection of contrast agents. Arterial spin labeling (ASL) is a magnetic resonance imaging (MRI) technique to image perfusion without injection of contrast agents. ASL is rapidly gaining prominence in the clinic because perfusion can yield crucial information about the health of brain tissue and its vasculature, although it is being used with increasing frequency in other organs as well. While ASL's potential as a clinical and research tool is phenomenal, the technique is still severely challenged by low signal to noise ratio (SNR). These challenges are exacerbated in the white matter because of its low perfusion rate and longer transit time from the labeling site to the voxel. In this proposal we aim to develop a new acquisition and quantification framework for imaging perfusion and other physiologically relevant parameters. This framework takes advantage of newly developed MR fingerprinting techniques. We aim to optimize this framework in order to maximize the sensitivity and accuracy, while reducing the scan time. Finally, we aim to validate the technique by comparison to independent measurements of the same parameters using alternative, established methods.

 描述（由适用提供）：显然需要采用强大的方法来对脑血液动力学进行图像更好地了解疾病过程，并发展早期疾病生物标志物。癌症和中风等许多疾病的特征是定义灌注以及其他与血流相关的参数的变化。还有越来越多的证据表明，对脑血流的调节不良与多种患病率正在上升的几种疾病的发展密切相关，例如多发性硬化症和阿尔茨海默氏病。尽管常规的临床灌注成像很麻烦，需要注射对比剂。动脉自旋标记（ASL）是一种磁共振成像（MRI）技术，可在不注射造影剂的情况下进行灌注。 ASL在诊所中迅速获得突出，因为灌注可以产生有关脑组织及其脉管系统健康的关键信息，尽管它在其他器官中的频率也增加。尽管ASL作为临床和研究工具的潜力是现象，但该技术仍然受到低信号与噪声比（SNR）的高度挑战。由于其灌注率低，并且从标签位点到体素的较长时间，这些挑战在白质中加剧了。在此提案中，我们旨在为成像灌注和其他物理相关参数开发新的采集和数量框架。该框架利用了新开发的MR指纹技术技术。我们旨在优化此框架，以最大程度地提高灵敏度和准确性，同时减少扫描时间。最后，我们旨在通过使用替代性的，已建立的方法与相同参数的独立测量进行比较来验证该技术。