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用于人类颈脊髓和脑干功能磁共振成像的空间归一化、整体运动校正和配准

Spatial normalization, bulk motion correction and coregistration for functional magnetic resonance imaging of the human cervical spinal cord and brainstem.

作者信息

Stroman Patrick W, Figley Chase R, Cahill Catherine M

机构信息

Centre for Neuroscience Studies, Queen's University, Kingston, Ontario, Canada K7L 3N6.

出版信息

Magn Reson Imaging. 2008 Jul;26(6):809-14. doi: 10.1016/j.mri.2008.01.038. Epub 2008 May 21.

Abstract

Functional magnetic resonance imaging (fMRI) of the cortex is a powerful tool for neuroscience research, and its use has been extended into the brainstem and spinal cord as well. However, there are significant technical challenges with extrapolating the developments that have been achieved in the cortex to their use in the brainstem and spinal cord. Here, we develop a normalized coordinate system for the cervical spinal cord and brainstem, demonstrating a semiautomated method for spatially normalizing and coregistering fMRI data from these regions. fMRI data from 24 experiments in eight volunteers are normalized and combined to create the first anatomical reference volume, and based on this volume, we define a standardized region-of-interest (ROI) mask, as well as a map of 52 anatomical regions, which can be applied automatically to fMRI results. The normalization is demonstrated to have an accuracy of less than 2 mm in 93% of anatomical test points. The reverse of the normalization procedure is also demonstrated for automatic alignment of the standardized ROI mask and region-label map with fMRI data in its original (unnormalized) format. A reliable method for spatially normalizing fMRI data is essential for analyses of group data and for assessing the effects of spinal cord injury or disease on an individual basis by comparing with results from healthy subjects.

摘要

皮质的功能磁共振成像(fMRI)是神经科学研究的有力工具,其应用也已扩展到脑干和脊髓。然而,将在皮质取得的进展外推应用于脑干和脊髓存在重大技术挑战。在此,我们为颈脊髓和脑干开发了一个标准化坐标系,展示了一种对来自这些区域的fMRI数据进行空间标准化和配准的半自动方法。对八名志愿者的24项实验的fMRI数据进行标准化并合并,以创建首个解剖学参考体积,并基于此体积定义一个标准化的感兴趣区域(ROI)掩码以及一个包含52个解剖区域的图谱,该图谱可自动应用于fMRI结果。经证明,在93%的解剖测试点上,标准化的精度小于2毫米。还展示了标准化程序的反向操作,用于将标准化的ROI掩码和区域标签图谱与原始(未标准化)格式的fMRI数据自动对齐。一种可靠的fMRI数据空间标准化方法对于组数据分析以及通过与健康受试者的结果进行比较来评估个体脊髓损伤或疾病的影响至关重要。

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