Resource for MRI of Neurodegenerative Disorders

我们的总体目标是开发、优化和验证创新和改进的MRI技术 神经退行性疾病(ND)的诊断、早期发现、治疗监测和调查， 将向科学界提供。这些技术将提供更多的信号和 与单位扫描时间的噪声和分辨率形成对比，降低敏感度和运动伪影，以便 改进疾病检测。这些技术包括改进的MRI/MRS采集，图像重建 用于高磁场MRI/MRS的方法和处理/分析方法结果将被分发 向科学界致敬。这项提议代表了磁共振成像之间协作工作的继续 物理学家、计算机科学家和临床研究人员致力于一个主题：神经退行性变 疾病。本生物技术研究资源的具体目标是开发、优化和验证： 1)用于结构、灌注和扩散谱MRI的MR采集方法，以及光谱 成像。这项工作的重点将是开发新的序列来捕捉大脑的变化 结构、生理(血流)和新陈代谢的敏感度和分辨率都有所提高 可靠性和精确度。 2)提高核磁共振成像速度、效率和定量精度的图像重建方法。这个 工作的重点将是利用贝叶斯先验信息的性质来确定 或统计图像建模，以提高图像质量、信噪比和分辨率。 3)磁共振图像处理技术，用于提取准确和可重复性的解剖信息。这个 工作的重点将是开发新的组织分割技术和新的空间 正常化战略。 4)我们将在有关NDS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工作人员提供培训。 6)我们将传播此资源生成的知识、工具和数据 这个项目的意义有几个方面：第一，由于老年人的老龄化，NDS的患病率正在迅速增长 迫切需要早期发现的人口和方法。第二，由于基础设施的进步 NDS的知识、治疗方法正在开发中，确定治疗方法的灵敏方法 回答是必需的。该研究资源将开发改进的临床诊断技术， 早期发现和监测常见NDS的进展和治疗效果，以及这些技术 这一进展也将适用于许多其他临床问题。

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 mprove 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.