Inglis Fiona M, Taylor Paul A, Andrews Erica F, Pascalau Raluca, Voss Henning U, Glen Daniel R, Johnson Philippa J
Cornell College of Veterinary Medicine, Department of Clinical Sciences, Cornell University, Ithaca, NY, United States.
Scientific and Statistical Computing Core, National Institute of Mental Health, Bethesda, MD, United States.
Imaging Neurosci (Camb). 2024 Aug 30;2:1-21. doi: 10.1162/imag_a_00276. eCollection 2024 Aug 1.
There is increasing reliance on magnetic resonance imaging (MRI) techniques in both research and clinical settings. However, few standardized methods exist to permit comparative studies of brain pathology and function. To help facilitate these studies, we have created a detailed, MRI-based white matter atlas of the canine brain using diffusion tensor imaging. This technique, which relies on the movement properties of water, permits the creation of a three-dimensional diffusivity map of white matter brain regions that can be used to predict major axonal tracts. To generate an atlas of white matter tracts, thirty neurologically and clinically normal dogs underwent MRI imaging under anesthesia. High-resolution, three-dimensional T1-weighted sequences were collected and averaged to create a population average template. Diffusion-weighted imaging sequences were collected and used to generate diffusivity maps, which were then registered to the T1-weighted template. Using these diffusivity maps, individual white matter tracts-including association, projection, commissural, brainstem, olfactory, and cerebellar tracts-were identified with reference to previous canine brain atlas sources. To enable the use of this atlas, we created downloadable overlay files for each white matter tract identified using manual segmentation software. In addition, using diffusion tensor imaging tractography, we created tract files to delineate major projection pathways. This comprehensive white matter atlas serves as a standard reference to aid in the interpretation of quantitative changes in brain structure and function in clinical and research settings.
在研究和临床环境中,对磁共振成像(MRI)技术的依赖日益增加。然而,几乎没有标准化的方法可用于脑病理学和功能的比较研究。为了帮助促进这些研究,我们使用扩散张量成像创建了一个基于MRI的犬脑详细白质图谱。这种技术依赖于水的运动特性,能够创建白质脑区的三维扩散率图谱,可用于预测主要轴突束。为了生成白质束图谱,30只神经和临床正常的犬在麻醉下接受了MRI成像。收集高分辨率三维T1加权序列并进行平均,以创建群体平均模板。收集扩散加权成像序列并用于生成扩散率图谱,然后将其配准到T1加权模板上。利用这些扩散率图谱,参照先前的犬脑图谱来源,识别出包括联合束、投射束、连合束、脑干束、嗅束和小脑束在内的各个白质束。为了便于使用这个图谱,我们使用手动分割软件为每个识别出的白质束创建了可下载的叠加文件。此外,利用扩散张量成像纤维束成像技术,我们创建了纤维束文件来描绘主要投射路径。这个全面的白质图谱可作为一个标准参考,以帮助解释临床和研究环境中脑结构和功能的定量变化。