MRI Toolbox for Rodent Brain Microstructure Imaging

用于啮齿动物脑微结构成像的 MRI 工具箱

基本信息

批准号：
9026974
负责人：
MARK D DOES
金额：
$ 42.56万
依托单位：
VANDERBILT UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2015
资助国家：
美国
起止时间：
2015-12-01 至 2019-11-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9026974
关键词：
Algorithms Animal Model Animals Axon Biological Assay Brain Brain region C57BL/6 Mouse Caliber Calibration Cerebrum Communities Computer software Contrast Media Data Dependence Disease Electron Microscopy Evaluation Gadolinium Health Histology Image Image Analysis Imaging Device Imaging Phantoms Imaging technology Injury Instruction Location Magnetic Resonance Imaging Magnetism Maps Measurement Methods Modality Modeling Morphologic artifacts Mus Myelin Neurons Performance Physiologic pulse Process Property Protocols documentation Rattus Relaxation Research Research Personnel Resolution Rodent Running Scanning Scientist Series Site Slice Software Tools Sprague-Dawley Rats System Testing Time Tissues Variant Vendor Water Weight Work base cost design gadolinium oxide human disease image reconstruction imaging modality in vivo indexing insight interest mouse model novel open source platform-independent programs quality assurance rate of change research study tool white matter

项目摘要

DESCRIPTION (provided by applicant): The overarching aim of this proposal is to develop and disseminate magnetic resonance imaging (MRI) tools to identify and characterize neuronal microstructure in small animals. MRI is an ideal modality for such studies because it can be applied non-invasively in vivo or non-destructively ex vivo, and can provide 3D evaluation across the entire brain. We will develop and test standardized MRI pulse sequences across multiple vendor platforms and develop an easily produced and standardized quality-assurance phantom and associated imaging protocol. Automated and optimized image reconstruction and quantitative microstructural parameter mapping software will be developed and disseminated as open source. A rigorous algorithmic framework for planning statistically-optimized, multi-objective imaging protocols will be developed and implemented in open source multi-platform software. A series of experimental studies will establish probabilistic volumes of a variety of neuronal microstructural property maps in normal and abnormal rat and mouse brains, along with quantitatively evaluated histology of select cerebral white matter regions. Throughout the project, novel MRI methods will be developed and tested, a variety of state-of-the-art methods will be standardized and optimized, and comparisons of MRI data with histology will offer novel insights in the micro anatomical basis of MRI contrast in white matter.

描述（由申请人提供）：该提案的总体目的是开发和传播磁共振成像（MRI）工具，以识别和表征小动物中的神经元微观结构。 MRI是此类研究的理想方式，因为它可以在体内或非破坏性的离体中非侵入性地应用，并且可以在整个大脑中提供3D评估。我们将在多个供应商平台上开发和测试标准化的MRI脉冲序列，并开发一种易于生产和标准化的质量助剂幻像和相关成像协议。自动化和优化的图像重建和定量微观结构参数映射软件将被开发并传播为开源。将在开源的多平台软件中开发和实施一个严格的算法框架，用于计划统计优化的多目标成像协议。一系列实验研究将建立正常和异常大鼠和小鼠大脑中各种神经元微结构特性图的概率容量，以及精选脑白质区域的定量评估的组织学。在整个项目中，将开发和测试新颖的MRI方法，将标准化和优化各种最先进的方法，并且MRI数据与组织学的比较将在白质中MRI对比的微解剖学基础上提供新颖的见解。