INSERM U746, Faculté de Médecine CS 34317, Rennes Cedex, France.
Neuroimage. 2010 Jan 1;49(1):345-54. doi: 10.1016/j.neuroimage.2009.08.007. Epub 2009 Aug 12.
New MR imaging protocols enable visualization of brain structures. However, for dedicated clinical applications such as targeting deep brain stimulation (DBS), a more accurate localization requires the use of atlases. We developed a three-dimensional digitized mono-subject anatomical template of the human brain based on 3-T magnetic resonance images (MRI). By averaging 15 registered T1 image acquisitions, we have shown that the final image corresponds to an optimal image, limited by the performance of the 3-T MR machine. We compared different preprocessing workflows for template construction. With the optimal strategy, along with validated existing processing methods, one T1 template and one T1-T2 mixing template were created in order to improve visualization of spatially complex deep structures. Reduction of voxel size to 0.25 mm(3) was also advantageous to observe fine structures and white matter/gray matter intensity crossings. Results demonstrated that such a template also improved inter-patient registration for population comparison in DBS. These MR templates are made freely available to our community (http://www.vmip.org/mritemplate) to serve as a reference for neuroimage processing methods.
新的磁共振成像（MRI）协议可使大脑结构可视化。然而，对于深部脑刺激（DBS）等特定的临床应用，更准确的定位需要使用图谱。我们基于 3T 磁共振图像（MRI）开发了一种基于三维数字化的单个体解剖模板。通过对 15 次注册的 T1 图像采集进行平均，我们发现最终图像对应于最优图像，该图像受限于 3T MR 机器的性能。我们比较了不同的模板构建预处理工作流程。采用最优策略以及已验证的现有处理方法，创建了一个 T1 模板和一个 T1-T2 混合模板，以改善空间复杂的深部结构的可视化效果。将体素大小减小到 0.25mm3 也有利于观察精细结构和白质/灰质强度交叉。结果表明，这种模板也改善了 DBS 中用于群体比较的患者间配准。这些 MRI 模板可免费提供给我们的社区（http://www.vmip.org/mritemplate），作为神经影像学处理方法的参考。
