使用归一化割算法对纤维轨迹进行聚类
Clustering Fiber Traces Using Normalized Cuts.
作者信息
Brun Anders, Knutsson Hans, Park Hae-Jeong, Shenton Martha E, Westin Carl-Fredrik
机构信息
Department. of Biomedical Engineering, Linköping University, Sweden.
出版信息
Med Image Comput Comput Assist Interv. 2004 Sep 2;3216/2004(3216):368-375. doi: 10.1007/b100265.
Abstract
In this paper we present a framework for unsupervised segmentation of white matter fiber traces obtained from diffusion weighted MRI data. Fiber traces are compared pairwise to create a weighted undirected graph which is partitioned into coherent sets using the normalized cut (N cut) criterion. A simple and yet effective method for pairwise comparison of fiber traces is presented which in combination with the N cut criterion is shown to produce plausible segmentations of both synthetic and real fiber trace data. Segmentations are visualized as colored stream-tubes or transformed to a segmentation of voxel space, revealing structures in a way that looks promising for future explorative studies of diffusion weighted MRI data.
摘要
在本文中，我们提出了一个用于对从扩散加权磁共振成像（MRI）数据中获取的白质纤维轨迹进行无监督分割的框架。将纤维轨迹进行两两比较以创建一个加权无向图，然后使用归一化割（N割）准则将其划分为连贯的集合。我们提出了一种简单而有效的纤维轨迹两两比较方法，该方法与N割准则相结合，被证明能够对合成和真实纤维轨迹数据产生合理的分割结果。分割结果可视化为彩色流管，或转换为体素空间的分割，以一种对扩散加权MRI数据的未来探索性研究看起来很有前景的方式揭示结构。
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