Fast, Quantitative, Perfusion-Based functional-MRI

快速、定量、基于灌注的功能 MRI

基本信息

批准号：
7225603
负责人：
Luis Hernandez-Garcia
金额：
$ 18.69万
依托单位：
UNIVERSITY OF MICHIGAN AT ANN ARBOR
依托单位国家：
美国
项目类别：
财政年份：
2005
资助国家：
美国
起止时间：
2005-07-01 至 2009-10-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/7225603
关键词：
Accounting Address Blood Volume Brain Cerebrovascular Circulation Cerebrum Cognitive Complex Condition Data Data Analyses Dependence Detection Development Diagnostic Drug Formulations Event Exhibits Experimental Designs Functional Imaging Functional Magnetic Resonance Imaging Image Invasive Knowledge Label Lead Linear Models Linear Regressions Magnetic Resonance Imaging Measurement Measures Metabolic Methodology Methods Modeling Neurons Noise Numbers Oxygen Perfusion Physiologic pulse Physiological Positioning Attribute Positron-Emission Tomography Process Property Protocols documentation Pulse taking Rate Relative (related person)Research Infrastructure Research Personnel Resolution Scheme Series Signal Transduction Slice Speed Spin Labels Standards of Weights and Measures Statistical Models Statistical Study Structure System Techniques Testing Time Work base blood flow measurement blood oxygenation level dependent response design experience mathematical model novel strategies research study response tool

项目摘要

DESCRIPTION (provided by applicant): The project described in this application aims to position arterial spin labeling (ASL) perfusion measurement as a significant, practical tool for the study of brain function. We propose to develop an arterial spin labeling system by combining the use of a separate labeling coil for continuous labeling with a Turbo-ASL scheme and fast, reverse spiral acquisition of the images, for added optional BOLD sensitivity. With this infrastructure in place, the main thrust of this project will be to develop the experimental design and analysis protocol to carry out event-related functional MRI experiments based on cerebral perfusion measurements. This will require the development of a new mathematical model for quantification of perfusion from ASL signal. The project will also involve characterization of the perfusion response to single events, as observed by ASL, as well as a comprehensive study of the statistical properties of the temporal and spatial noise in ASL time series data. Our team of investigators has extensive experience in ASL and BOLD imaging, image acquisition, and the statistical processing of functional images, and is therefore well suited to be successful on the proposed project. In the long term, we hope to go beyond the scope of this proposal and develop the methodology to make quantitative time series measurements of perfusion and use the knowledge gained about the perfusion impulse response function to better understand the BOLD response from a quantitative physiological point of view. These developments will be quite instrumental to the use of ASL perfusion imaging as a powerful tool for the study of brain function.

描述（由申请人提供）：本申请中描述的项目旨在将动脉自旋标记（ASL）灌注测量作为研究大脑功能研究的重要，实用的工具。我们建议通过将单独的标记线圈与涡轮ASL方案连续标记和图像的快速反向螺旋获取相结合来开发动脉自旋标记系统，以增加可选的大胆灵敏度。借助此基础架构，该项目的主要目的是开发实验设计和分析方案，以基于脑灌注测量值进行与事件相关的功能MRI实验。这将需要开发一个新的数学模型来量化ASL信号的灌注。如ASL所观察到的那样，该项目还将涉及对单个事件的灌注反应的表征，以及对ASL时间序列数据中时间和空间噪声的统计特性的全面研究。我们的研究人员团队在ASL和大胆的成像，图像获取以及功能图像的统计处理方面拥有丰富的经验，因此非常适合在拟议项目上取得成功。从长远来看，我们希望超出该提案的范围，并开发方法，以进行定量时间序列测量灌注，并利用有关灌注脉冲响应功能获得的知识，从而从定量的生理观点中更好地理解大胆的反应。这些发展将对使用ASL灌注成像作为研究大脑功能的强大工具至关重要。