COMPUTATIONAL ANATOMY FOR NEURODEGENERATIVE BRAIN PATTERNS

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 该项目的总体目标是开发一个包含所有现有成像模式的统计多模式人口脑图谱构建框架。该框架将支持的成像方式为T1、T2、各种扩散加权协议，如DWI和DSI，以及动脉自旋标记灌注MRI。该图谱构建框架将用于研究衰老大脑的解剖结构以及各种疾病对衰老过程的影响。特别是，概率脑图谱的生成将提高通过利用局部大脑变异性的信息来识别疾病和衰老大脑之间的系统性大脑差异的能力。此外，与单独使用单一图像模式或多个模式的传统方法相比，包括来自所有成像模式的联合信息的概率脑图谱将允许对大脑变化进行更全面的调查。此外，将多模式图像数据映射到公共3D坐标空间是P41许多成像分析项目的先决条件，因为它提供了一个定量空间参考系统，在该系统中可以比较和关联来自多个受试者和模式的大脑数据。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The overall goal of the project is to develop a statistical multi-modal population brain atlas construction framework incorporating all the available imaging modalities. The imaging modalities that the framework will support are T1, T2, various diffusion weighted protocols such as DWI and DSI as well as arterial spin labeling perfusion MRI. The atlas construction framework will be used to study the anatomy of the aging brain and impact of various diseases on the aging process. In particular, the generation of probabilistic brain atlases will improve power to identify systematic brain differences between diseases and aging brains by utilizing information of local brain variability. Moreover, a probabilistic brain atlas that includes jointly information from all imaging modalities will allow more comprehensive investigations in brain alterations than conventional methods that use a single image modality or multiple modalities separately. Moreover, the mapping of multimodal image data into a common 3D coordinate space is a prerequisite for many imaging analysis projects of this P41, as it supplies a quantitative spatial reference system in which brain data from multiple subjects and modalities can be compared and correlated.