Resource for MRI of Neurodegenerative Disorders

神经退行性疾病 MRI 资源

• 批准号: 7891263
• 负责人: MICHAEL W WEINER
• 金额: $ 109.36万
• 依托单位: NORTHERN CALIFORNIA INSTITUTE/RES/EDU
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-15 至 2013-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7891263
• 关键词: Resource; MRI; Neurodegenerative; Disorders

DESCRIPTION (provided by applicant): Our overall goal is to develop, optimize, and validate innovative and improved MRI techniques for the diagnosis, early detection, treatment monitoring, and investigation of neurodegenerative diseases (ND), which will be made available to the scientific community. These techniques will provide increased signal and contrast to noise and resolution per unit scan time, reduced susceptibility and motion artifacts, in order to improve disease detection. The techniques include improved MRI/MRS acquisition, image reconstruction methods, and processing/analysis methods for high magnetic field MRI/MRS. The results will be distributed to the scientific community. This proposal represents a continuation of collaborative work between MRI physicists, computer scientists and clinical investigators aimed at a single theme: neurodegenerative diseases. The specific aims of this Biotechnology Research Resource are to develop, optimize and validate: 1) MR acquisition methods for structural, perfusion, and diffusion spectrum MRI, and spectroscopic imaging. The focus of the work will be on developing new sequences to capture alterations of brain structure, physiology (blood flow), and metabolism with improved sensitivity and resolution and increased reliability and precision. 2) Image reconstruction methods for increasing speed, efficiency, and quantitative accuracy of MRI. The focus of the work will be on exploiting the properties of Bayesian prior information for either deterministic or statistical image modeling to improve image quality, signal-to-noise and resolution. 3) MR image processing techniques for extraction of accurate and reproducible anatomical information. The focus of the work will be on developing novel tissue segmentation techniques and new spatial normalization strategies. 4) We will utilize these improvements in collaborative/service projects concerning NDs 5) We will provide training for investigators and staff within and outside the Research Resource. 6) We will disseminate the knowledge, tools, and data generated by this resource The significance of this project is several fold: First, the prevalence of NDs is rapidly growing due to aging of the population and methods for early detection are urgently needed. Second, due to advances in basic knowledge, treatments for NDs are under development and sensitive methods to determine treatment response are required. This Research Resource will develop improved techniques for clinical diagnosis, early detection, and monitoring of progression and treatment effects of common NDs, and these technical advances will also be applicable to many other clinical problems.

描述（由申请人提供）：我们的总体目标是开发，优化和验证创新和改进的MRI技术，以诊断，早期检测，治疗监测以及对神经退行性疾病（ND）的研究，这些疾病（ND）将提供给科学界。这些技术将为每单位扫描时间的噪声和分辨率增加信号和对比度，以减少易感性和运动伪像，以改善疾病检测。这些技术包括改进的MRI/MRS采集，图像重建方法以及高磁场MRI/MRS的处理/分析方法。结果将分发给科学界。该建议代表了MRI物理学家，计算机科学家和临床研究人员之间的合作工作的延续：旨在单一主题：神经退行性疾病。该生物技术研究资源的具体目的是开发，优化和验证： 1）MR采集方法用于结构，灌注和扩散光谱MRI和光谱成像。这项工作的重点将是开发新序列，以捕获大脑结构，生理（血流）和代谢的改变，并提高了灵敏度和分辨率，并提高了可靠性和精度。 2）图像重建方法提高了MRI的速度，效率和定量精度。这项工作的重点将是利用贝叶斯先验信息的性质进行确定性或统计图像建模，以提高图像质量，信噪比和分辨率。 3）MR图像处理技术，用于提取准确和可再现的解剖信息。这项工作的重点将是开发新型的组织分割技术和新的空间归一化策略。 4）我们将在有关ND的协作/服务项目中利用这些改进 5）我们将为研究资源内外的调查人员和员工提供培训。 6）我们将传播此资源生成的知识，工具和数据 该项目的重要性是几折：首先，由于人口的老化和早期检测方法，NDS的患病率正在迅速增长。其次，由于基本知识的进步，ND的治疗正在开发中，并且需要确定治疗反应的敏感方法。该研究资源将开发出改进的技术诊断，早期检测和监测常见ND的进展和治疗效果的技术，这些技术进步也将适用于许多其他临床问题。