MONITORING HUMAN BRAIN MATURATION USING MRDTI

描述：(改编自申请人的描述)磁共振 扩散张量成像是一种新兴的磁共振成像方法，它正在成为 在许多设施中经常使用。水在人脑中的扩散是 方向相关的量。白质纤维束制约 水以与取向相关的方式扩散，并通过增加 髓鞘作用水分子上的重组增加。使用张量 形式主义、信息论对脑组织的重要特征 例如水流动性、水含量和纤维微结构 获得。在人脑成熟的过程中，会发生重要的解剖学变化。 水分含量减少，细胞和神经元连接的数量减少 增加，髓鞘形成进展。这些变化影响了弥散 组织的属性。通过量化大气中的扩散变化 随着人类大脑的成熟，结构的变化可以推断。这样做的目的是 该项目是开发可用于监测大脑的定量方法 通过无创磁共振弥散张量成像(MRDTI)成熟。这个 研究人员最近表明，3D MR扩散张量图像可以 简化为描述整个大脑结构的单一参数，通过使用 分布分析和建模。这样，不同受试者的大脑 可以不偏不倚地相互比较。建议的目标是： 目标1：开发和测量可量化的参数来描述 使用3D扩散张量数据集和建模的正常大脑成熟。 目的2：探讨利用这些参数诊断病理状态 如发育迟缓或脑积水。调查人员将利用 常规获得扩散张量图像并对其进行后处理以获得 量化数据。通过这种方式，可以将大量的大脑成熟数据 在短时间内收集和处理。

DESCRIPTION: (Adapted from the applicant's Description) Magnetic resonance diffusion tensor imaging is an emerging MR methodology that is becoming to be routinely used in many facilities. The water diffusion in the human brain is a directionally-dependent quantity. The white matter fiber bundles restrict water diffusion in an orientation dependent manner and by increased myelination the restruction on water molecules increases. Using tensor formalism, information on the important characteristics of the brain tissue such as water mobility, water content, and fiber microstructure can be obtained. During human brain maturation important anatomical changes occur. The water content decreases, the number of cell and neuronal connections increase, and myelination progresses. Theses changes affect the diffusional properties of the tissue. By quantifying the diffusional changes in the maturing human brain, structural changes can be inferred. The purpose of this project is to develop quantitative methods that can be used to monitor brain maturation through non-invasive MR diffusion tensor imaging (MRDTI). The investigators recently showed that 3D MR diffusion tensor images can be reduced to single parameters that describe the entire brain structure by using distribution analysis and modeling. This way, brains of different subjects can be compared with each other in an unbiased manner. The proposed aims are: Aim 1: To develop and measure quantifiable parameters that describe the normal brain maturation using the 3D diffusion tensor data sets and modeling. Aim 2: To explore to use of these parameters to diagnose pathological states such as developmental delay or hydrocephalus. The investigators will use the routinely obtained diffusion tensor images and post-process them to obtain quantitative data. In this way a large amount of brain maturation data can be collected and processed in a short time.