Core 2 - Analysis

高场磁共振成像(MRI)和磁共振成像的分析与可视化 波谱(MRS)数据需要尖端的计算资源和专业知识，因为 它们的规模和复杂性在不断增加。尽管这些进步无疑将改善我们的 对大脑发育、衰老和疾病的理解，它也可能是 调查人员。因此，这个核心的总体目标是提供独特的和易于访问的 人类和动物神经成像研究的处理资源，这将增强 研究人员高效地产生最先进的结果，并从 CMRR的高场和超高场磁共振扫描仪。目标1：提供MRI数据重建和 前处理专业知识和工具，包括平行成像、伪影和失真校正。 目标2：为MRI数据分析提供专业知识和计算资源，包括 配准、分割、扩散模型拟合(张量、交叉纤维模型、 显微结构)、纤维束造影术和fMRI统计分析。目标3：提供量化 成像分析能力，包括生成放松时间的定量脑图。 目标4：为MRS提供加工和代谢物量化能力 提供数据存储、组织和可视化功能。

The analysis and visualization of high field magnetic resonance imaging (MRI) and spectroscopy (MRS) data require cutting-edge computational resources and expertise, because of their increasing size and complexity. Although these advances will undoubtedly improve our understanding of brain development, aging and disorders, it can also be a significant barrier for investigators. Therefore, the overall goal of this core is to provide unique and easily accessible processing resources for human and animal neuroimaging research, which will empower researchers to efficiently produce state-of-the-art results, and generate high-quality images from CMRR's high and ultrahigh field MR scanners. Aim 1: To provide MRI data reconstruction and pre-processing expertise and tools, including parallel imaging, artifacts and distortion correction. Aim 2: To provide expertise and computational resources for MRI data analysis, including registration, segmentation, diffusion models fitting (tensor, crossing fibers models, microstructure), tractography, and fMRI statistical analysis. Aim 3: To provide quantitative imaging analysis capabilities, including generating quantitative brain maps of relaxation times. Aim 4: To provide processing and metabolite quantification capabilities for MRS. Aim 5: To provide data storage, organization and visualization capabilities.