An in vivo MRI Template Set for Morphometry, Tissue Segmentation, and fMRI Localization in Rats.
An in vivo MRI Template Set for Morphometry, Tissue Segmentation, and fMRI Localization in Rats.
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DOI：
10.3389/fninf.2011.00026
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发表时间：
2011
影响因子：
3.5
通讯作者：
Kawashima R
中科院分区：
文献类型：
--
作者：
Valdés-Hernández PA;Sumiyoshi A;Nonaka H;Haga R;Aubert-Vásquez E;Ogawa T;Iturria-Medina Y;Riera JJ;Kawashima R
在过去的十年中，几篇论文集中在通过非线性配准到无偏参考空间的高度详细的小鼠高场磁共振图像（MRI）模板的构建上，允许各种神经成像应用，例如鲁棒的形态测量分析。然而，在大鼠中的工作仅提供了基于线性配准的中场MRI平均值，以偏置空间，其唯一目的是近似功能性MRI（fMRI）定位。这排除了任何形态学分析，尽管需要在最近出现的大鼠模型中详细探索疾病的神经解剖学基础。在本文中，我们提出了一个新的在体内大鼠T2 MRI模板集，包括强度和形状的平均图像，通过非线性配准。此外，与以前的大鼠模板集不同，我们包括白色和灰质概率分割，将其使用扩展到需要基于先验的组织分割的应用，例如，统计参数映射（SPM）基于体素的形态测量。我们还提供了最新的Paxinos和沃森地图集的初步数字化，用于大脑皮层内的解剖和功能解释。我们证实，与以前的模板一样，前爪和后爪fMRI激活可以正确地定位在预期的图谱结构中。为了验证我们的新MRI模板集的使用，报告了脑组织和皮质结构的体积，并探讨了它们与个体发育的关系。在不久的将来，其他体内应用可以是基于张量、变形或体素的形态测量、形态连接和基于扩散张量的解剖连接。我们的模板集，免费提供的SPM扩展网站，可能是一个重要的工具，为未来的纵向和/或功能广泛的临床前研究。
Over the last decade, several papers have focused on the construction of highly detailed mouse high field magnetic resonance image (MRI) templates via non-linear registration to unbiased reference spaces, allowing for a variety of neuroimaging applications such as robust morphometric analyses. However, work in rats has only provided medium field MRI averages based on linear registration to biased spaces with the sole purpose of approximate functional MRI (fMRI) localization. This precludes any morphometric analysis in spite of the need of exploring in detail the neuroanatomical substrates of diseases in a recent advent of rat models. In this paper we present a new in vivo rat T2 MRI template set, comprising average images of both intensity and shape, obtained via non-linear registration. Also, unlike previous rat template sets, we include white and gray matter probabilistic segmentations, expanding its use to those applications demanding prior-based tissue segmentation, e.g., statistical parametric mapping (SPM) voxel-based morphometry. We also provide a preliminary digitalization of latest Paxinos and Watson atlas for anatomical and functional interpretations within the cerebral cortex. We confirmed that, like with previous templates, forepaw and hindpaw fMRI activations can be correctly localized in the expected atlas structure. To exemplify the use of our new MRI template set, were reported the volumes of brain tissues and cortical structures and probed their relationships with ontogenetic development. Other in vivo applications in the near future can be tensor-, deformation-, or voxel-based morphometry, morphological connectivity, and diffusion tensor-based anatomical connectivity. Our template set, freely available through the SPM extension website, could be an important tool for future longitudinal and/or functional extensive preclinical studies.