CORE--MAGNETIC RESONANCE IMAGING

该提案是两个独立的核心，总结为一个行政单位，代表亨利福特卫生系统的两个研究小组；神经学核磁共振实验室，将监督拟议项目的磁共振成像（MRI）部分，放射学图像分析实验室，将监督MRI（和其他）图像的可视化和组合。在脑缺血动物模型以及急性和慢性中风患者中，参数化MRI数据是神经学核磁共振的重点，也是本核心的责任。神经学核磁共振负责数据采集和数据处理，生成质子密度、T1、T2、脑血流量（CBF）、水的表观扩散系数（ADC/W）、表观正向磁化传递率（K(fa)）等参数的图，以便构建脑缺血各阶段脑组织的物理和生理模型。为此，本核心a部分介绍了该计划项目建议书中各个项目中使用的MRI图像采集和数据处理的实践和原则。将人类和动物模型中的MRI（和其他图像数据）结合起来一直是放射学图像分析实验室的重点。在很大程度上，由于获得了信噪比优势，仅将图像强度（例如，一组自旋回波图像，而不是T2映射）输入到该小组使用的算法中。给定已识别的纯组织信号，可以使用图像处理算法来识别不可逆组织损伤区域与边缘区域，与未损伤区域，与部分体积效应区域。这些技术，特别是特征图像和ISODATA过滤器，是有价值的，因为它们利用了图像集中的所有信息，并且根据经验，它们允许对不同组织类型进行非侵入性识别。本项目项目提案的各个项目中使用的图像处理的实践和原则在本核心的b部分中进行了介绍。最后，本核心的目的是将两个小组的工作应用于动物和人类脑梗死的MRI研究，并结合他们的工作，以便图像处理方法的结果可以跨领域优势和物种进行映射。

This proposal is two separate Cores summed into one administrative unit, representing two research groups in Henry Ford Health Systems; the Neurology NMR laboratory, which will oversee the Magnetic Resonance Imaging (MRI) sections of the proposed Program Project, and the Radiology Image Analysis Laboratory, which will oversee the visualization and combination of MRI (and other) images. It is the focus of Neurology NMR, and its responsibility in this Core, to parameterize MRI data in animal models of cerebral ischemia, and in humans with acute and chronic stroke. Neurology NMR is charged with data acquisition and data processing to produce maps of such parameters as proton density, T1, T2, cerebral blood flow (CBF), the apparent diffusion coefficient of water (ADC/W), the apparent forward magnetization transfer rate, K(fa), etcetera, in order to construct physical and physiological models of cerebral tissue across the phases of cerebral ischemia. To this end, the practices and principles of the MRI image acquisition and data processing used in the various Projects of the Program Project Proposal are presented in this Core, Section A. It has been the focus of the Radiology Image Analysis Laboratory to combine MRI (and other image data) in humans and animal models. In large part, because of the signal-to-noise advantage gained, image intensities alone (e.g., a set of spin-echo images, rather than a T2 map) are input to the algorithms employed by this group. Given an identified pure tissue signal, it has been possible to employ image processing algorithms in the identification of regions of irreversible tissue damage versus borderline regions, versus undamaged regions, versus regions with partial-volume effects. These techniques particularly the Eigenimage and ISODATA filters, are valuable because they employ all the information in an image set and, with experience, they allow the non-invasive identification of different tissue types. The practices and principles of Image Processing used in the various Projects of this Program Project proposal are presented in this Core, Section B. Finally, it is the purpose of this core to apply the work of both groups to the MRI study of cerebral infarction in animals and humans, and to combine their work so that the results of the image processing approaches can be mapped across field strengths and species.