Peng Huiling, Orlichenko Anton, Dawe Robert J, Agam Gady, Zhang Shengwei, Arfanakis Konstantinos
Department of Biomedical Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA.
Neuroimage. 2009 Jul 15;46(4):967-80. doi: 10.1016/j.neuroimage.2009.03.046. Epub 2009 Mar 31.
The development of a brain template for diffusion tensor imaging (DTI) is crucial for comparisons of neuronal structural integrity and brain connectivity across populations, as well as for the development of a white matter atlas. Previous efforts to produce a DTI brain template have been compromised by factors related to image quality, the effectiveness of the image registration approach, the appropriateness of subject inclusion criteria, and the completeness and accuracy of the information summarized in the final template. The purpose of this work was to develop a DTI human brain template using techniques that address the shortcomings of previous efforts. Therefore, data containing minimal artifacts were first obtained on 67 healthy human subjects selected from an age-group with relatively similar diffusion characteristics (20-40 years of age), using an appropriate DTI acquisition protocol. Non-linear image registration based on mean diffusion-weighted and fractional anisotropy images was employed. DTI brain templates containing median and mean tensors were produced in ICBM-152 space and made publicly available. The resulting set of DTI templates is characterized by higher image sharpness, provides the ability to distinguish smaller white matter fiber structures, contains fewer image artifacts, than previously developed templates, and to our knowledge, is one of only two templates produced based on a relatively large number of subjects. Furthermore, median tensors were shown to better preserve the diffusion characteristics at the group level than mean tensors. Finally, white matter fiber tractography was applied on the template and several fiber-bundles were traced.
用于扩散张量成像(DTI)的脑模板的开发对于比较不同人群的神经元结构完整性和脑连接性以及白质图谱的开发至关重要。先前制作DTI脑模板的努力受到了与图像质量、图像配准方法的有效性、受试者纳入标准的适当性以及最终模板中总结信息的完整性和准确性相关的因素的影响。这项工作的目的是使用解决先前努力缺点的技术来开发一个DTI人脑模板。因此,首先使用适当的DTI采集协议,在67名从具有相对相似扩散特征的年龄组(20 - 40岁)中选出的健康人类受试者上获得了包含最少伪影的数据。采用基于平均扩散加权和分数各向异性图像的非线性图像配准。在ICBM - 152空间中生成了包含中位数和均值张量的DTI脑模板并公开发布。与先前开发的模板相比,所得的DTI模板集具有更高的图像清晰度,能够区分更小的白质纤维结构,包含更少的图像伪影,并且据我们所知,是基于相对大量受试者生成的仅有的两个模板之一。此外,结果表明中位数张量在群体水平上比均值张量能更好地保留扩散特征。最后,在模板上应用了白质纤维束成像并追踪了几条纤维束。