O'Donnell Lauren J, Westin Carl-Fredrik
Golby Laboratory, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
IEEE Trans Med Imaging. 2007 Nov;26(11):1562-75. doi: 10.1109/TMI.2007.906785.
We propose a new white matter atlas creation method that learns a model of the common white matter structures present in a group of subjects. We demonstrate that our atlas creation method, which is based on group spectral clustering of tractography, discovers structures corresponding to expected white matter anatomy such as the corpus callosum, uncinate fasciculus, cingulum bundles, arcuate fasciculus, and corona radiata. The white matter clusters are augmented with expert anatomical labels and stored in a new type of atlas that we call a high-dimensional white matter atlas. We then show how to perform automatic segmentation of tractography from novel subjects by extending the spectral clustering solution, stored in the atlas, using the Nystrom method. We present results regarding the stability of our method and parameter choices. Finally we give results from an atlas creation and automatic segmentation experiment. We demonstrate that our automatic tractography segmentation identifies corresponding white matter regions across hemispheres and across subjects, enabling group comparison of white matter anatomy.
我们提出了一种新的白质图谱创建方法，该方法可学习一组受试者中常见白质结构的模型。我们证明，我们基于纤维束成像的群体谱聚类的图谱创建方法能够发现与预期白质解剖结构相对应的结构，如胼胝体、钩束、扣带束、弓状束和放射冠。白质簇通过专家解剖学标签进行扩充，并存储在一种新型图谱中，我们将其称为高维白质图谱。然后，我们展示了如何通过使用Nystrom方法扩展存储在图谱中的谱聚类解决方案，对新受试者的纤维束成像进行自动分割。我们给出了关于我们方法稳定性和参数选择的结果。最后，我们给出了图谱创建和自动分割实验的结果。我们证明，我们的自动纤维束成像分割能够识别跨半球和跨受试者的相应白质区域，从而实现白质解剖结构的群体比较。
