O'Donnell Lauren, Westin Carl-Fredrik
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge MA, USA.
Med Image Comput Comput Assist Interv. 2006;9(Pt 2):243-51.
We present a two-step process including white matter atlas generation and automatic segmentation. Our atlas generation method is based on population fiber clustering. We produce an atlas which contains high-dimensional descriptors of fiber bundles as well as anatomical label information. We use the atlas to automatically segment tractography in the white matter of novel subjects and we present quantitative results (FA measurements) in segmented white matter regions from a small population. We demonstrate reproducibility of these measurements across scans. In addition, we introduce the idea of using clustering for automatic matching of anatomical structures across hemispheres.
我们提出了一个包括白质图谱生成和自动分割的两步过程。我们的图谱生成方法基于群体纤维聚类。我们生成了一个包含纤维束的高维描述符以及解剖学标签信息的图谱。我们使用该图谱自动分割新受试者白质中的纤维束成像，并给出了来自一小部分人群的分割白质区域的定量结果（FA测量）。我们展示了这些测量在不同扫描中的可重复性。此外，我们还引入了使用聚类来自动匹配跨半球解剖结构的想法。
