3D structure tensor analysis of light microscopy data for validating diffusion MRI.
3D structure tensor analysis of light microscopy data for validating diffusion MRI.
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DOI：
10.1016/j.neuroimage.2015.01.061
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发表时间：
2015-05-01
期刊：
影响因子：
5.7
通讯作者：
Kroenke CD
中科院分区：
文献类型：
--
作者：
Khan AR;Cornea A;Leigland LA;Kohama SG;Jespersen SN;Kroenke CD
弥散磁共振成像（d-MRI）是一种强大的非侵入性和非破坏性的技术，用于在显微尺度上表征脑组织。然而，缺乏独立的实验手段验证的d-MRI构成了一个障碍，使用这种方法获得的数据的准确解释。最近，结构张量分析已被应用于光学显微镜图像，这种技术有望成为一个强大的验证策略d-MRI。这种方法的优点包括它与d-MRI在平均大量细胞结构的影响方面的相似性，以及它的简单性，这使得它能够以高通量的方式实现。然而，该技术的先前实现的缺点是由于其被限制为2D。因此，结构张量分析仅限于在与感兴趣的方向正交的方向上切片的组织。在这里，我们描述的分析框架扩展结构张量分析到3D，并利用其结果来分析序列图像“堆栈”获得的恒河猴海马组织的共聚焦显微镜。3D结构张量程序的实现需要去除在组织制备和共焦成像中引入的各向异性源。这是通过图像处理步骤来实现的，以减轻各向异性组织收缩的影响以及点扩散函数（PSF）中的各向异性的影响。为了解决后者的混淆，我们描述的程序，用于测量PSF各向异性的距离从组织内的显微镜物镜的依赖性。在显微镜检查之前，对海马组织进行的离体d-MRI测量显示了三个组织区域，其具有相互正交的最小限制扩散方向，对应于CA 1、肺泡和下纵束。我们证明了3D结构张量分析的能力，以确定结构张量的方向是平行的d-MRI衍生的扩散张量在这三个区域。它的结论是，3D泛化的结构张量分析将进一步提高实用程序的结构张量分析d-MRI，使其成为一个更灵活的实验技术，更接近固有的3D性质的d-MRI测量。
Diffusion magnetic resonance imaging (d-MRI) is a powerful non-invasive and non-destructive technique for characterizing brain tissue on the microscopic scale. However, the lack of validation of d-MRI by independent experimental means poses an obstacle to accurate interpretation of data acquired using this method. Recently, structure tensor analysis has been applied to light microscopy images, and this technique holds promise to be a powerful validation strategy for d-MRI. Advantages of this approach include its similarity to d-MRI in terms of averaging the effects of a large number of cellular structures, and its simplicity, which enables it to be implemented in a high-throughput manner. However, a drawback of previous implementations of this technique arises from it being restricted to 2D. As a result, structure tensor analyses have been limited to tissue sectioned in a direction orthogonal to the direction of interest. Here we describe the analytical framework for extending structure tensor analysis to 3D, and utilize the results to analyze serial image “stacks” acquired with confocal microscopy of rhesus macaque hippocampal tissue. Implementation of 3D structure tensor procedures requires removal of sources of anisotropy introduced in tissue preparation and confocal imaging. This is accomplished with image processing steps to mitigate the effects of anisotropic tissue shrinkage, and the effects of anisotropy in the point spread function (PSF). In order to address the latter confound, we describe procedures for measuring the dependence of PSF anisotropy on distance from the microscope objective within tissue. Prior to microscopy, ex vivo d-MRI measurements performed on the hippocampal tissue revealed three regions of tissue with mutually orthogonal directions of least restricted diffusion that correspond to CA1, alveus and inferior longitudinal fasciculus. We demonstrate the ability of 3D structure tensor analysis to identify structure tensor orientations that are parallel to d-MRI derived diffusion tensors in each of these three regions. It is concluded that the 3D generalization of structure tensor analysis will further improve the utility of structure tensor analyses for d-MRI by making it a more flexible experimental technique that closer resembles the inherently 3D nature of d-MRI measurements.
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DOI：
10.1016/j.jmr.2011.09.022
发表时间：
1996-06-01
期刊：
JOURNAL OF MAGNETIC RESONANCE SERIES B
影响因子：
--
作者：
Basser, PJ;Pierpaoli, C
通讯作者：
Pierpaoli, C
影响因子：
3.5
作者：
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影响因子：
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Back SA
影响因子：
4.6
作者：
Kuwajima, Takaaki;Sitko, Austen A.;Mason, Carol
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影响因子：
4.8
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通讯作者：
Friedman, David Paul