Center for In Vivo Microscopy, Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
Neuroimage. 2012 Sep;62(3):1848-56. doi: 10.1016/j.neuroimage.2012.05.041. Epub 2012 May 24.
We have produced a multidimensional atlas of the adult Wistar rat brain based on magnetic resonance histology (MRH). This MR atlas has been carefully aligned with the widely used Paxinos-Watson atlas based on optical sections to allow comparisons between histochemical and immuno-marker data, and the use of the Paxinos-Watson abbreviation set. Our MR atlas attempts to make a seamless connection with the advantageous features of the Paxinos-Watson atlas, and to extend the utility of the data through the unique capabilities of MR histology: a) ability to view the brain in the skull with limited distortion from shrinkage or sectioning; b) isotropic spatial resolution, which permits sectioning along any arbitrary axis without loss of detail; c) three-dimensional (3D) images preserving spatial relationships; and d) widely varied contrast dependent on the unique properties of water protons. 3D diffusion tensor images (DTI) at what we believe to be the highest resolution ever attained in the rat provide unique insight into white matter structures and connectivity. The 3D isotropic data allow registration of multiple data sets into a common reference space to provide average atlases not possible with conventional histology. The resulting multidimensional atlas that combines Paxinos-Watson with multidimensional MRH images from multiple specimens provides a new, comprehensive view of the neuroanatomy of the rat and offers a collaborative platform for future rat brain studies.
我们基于磁共振组织学(MRH)生成了一个基于磁共振组织学的成年 Wistar 大鼠大脑多维图谱。这个 MR 图谱经过精心与广泛使用的基于光学切片的 Paxinos-Watson 图谱对齐,以允许在组织化学和免疫标记数据之间进行比较,并使用 Paxinos-Watson 缩写集。我们的 MR 图谱试图与 Paxinos-Watson 图谱的有利特征无缝连接,并通过 MR 组织学的独特功能扩展数据的用途:a)能够在颅骨中观察大脑,其收缩或切片引起的变形有限;b)各向同性空间分辨率,允许沿任何任意轴进行切片而不会丢失细节;c)三维(3D)图像保留空间关系;以及 d)广泛的对比度变化取决于水质子的独特特性。我们认为在大鼠中达到的最高分辨率的 3D 扩散张量图像(DTI)提供了对白质结构和连接的独特见解。3D 各向同性数据允许将多个数据集注册到共同的参考空间中,以提供常规组织学不可能实现的平均图谱。将 Paxinos-Watson 与来自多个标本的多维 MRH 图像相结合的多维图谱为大鼠的神经解剖学提供了新的、全面的视角,并为未来的大鼠脑研究提供了一个协作平台。